Vizzuality/landgriffon

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   "id": "24fbd48b",
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   "source": [
    "# QA of the risk and impact calculation for unsustainable water consumption:\n",
    "\n",
    "Generate calculation of the water risk and impact calculations for the unsustainable water consumtion to check discrepancies.\n",
    "\n",
    "water impacts are deffined as:\n",
    "\n",
    "    Water impact  (m3 / year ) = (water footprint (m3/year) / production (tons)) * (production (tons) / Total Production (tons)) * Volume (tons)\n",
    "\n",
    "    Water impact (m3 / year) = Water use per ton * distribution of crop production * tons\n",
    "\n",
    "Equal to:\n",
    "    \n",
    "    Water impact  (m3 / year ) = water footprint (m3/year) * Volume (tons) / Total Production (tons)\n",
    "\n",
    "    Water impact (m3 / year) = Water use due to the crop * percent of production you are responsible for\n",
    "    \n",
    "# Setup\n",
    "## Library import"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4641cc51",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import libraries\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import rioxarray as rxr\n",
    "from xrspatial.classify import natural_breaks\n",
    "import geopandas as gpd\n",
    "import cartopy.crs as ccrs\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.colors import ListedColormap\n",
    "import matplotlib.colors as colors"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31abfbe8",
   "metadata": {},
   "source": [
    "## Utils"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8f3ab3ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "def da_plot(da, gdf, color_list, values, title, x='x', y='y', xlim=(65,100), ylim=(4,40)):\n",
    "    # Define the colors you want\n",
    "    cmap = ListedColormap(color_list)\n",
    "\n",
    "    # Define a normalization from values -> colors\n",
    "    norm = colors.BoundaryNorm(values, len(color_list))\n",
    "\n",
    "    plt.figure(figsize=(12,10))\n",
    "    ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "\n",
    "    ax.set_global()\n",
    "\n",
    "    da.plot(ax=ax, norm=norm, cmap=cmap, x=x, y=y, transform=ccrs.PlateCarree())\n",
    "    gdf.plot(ax=ax, color='red', alpha=.1, edgecolor='red')\n",
    "    ax.coastlines()\n",
    "    ax.set_xlim(xlim)\n",
    "    ax.set_ylim(ylim)\n",
    "    ax.set_title(title)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0821b1b0",
   "metadata": {},
   "source": [
    "# Data import\n",
    "## Vector data \n",
    "**India**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a50a12ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "#define path\n",
    "path = '../../datasets/raw/water/QA/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ef5917cf",
   "metadata": {},
   "outputs": [
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       "  GID_0 NAME_0                                           geometry\n",
       "0   IND  India  MULTIPOLYGON (((93.78773 6.85264, 93.78849 6.8..."
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   "source": [
    "#import geometry:\n",
    "geom = gpd.read_file(path+'gadm36_IND_0.shp')\n",
    "geom.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "596f4637",
   "metadata": {},
   "source": [
    "## Raster data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6388b85d",
   "metadata": {},
   "source": [
    "**Water footprint**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5b11ea7e",
   "metadata": {},
   "outputs": [
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       "    _FillValue:    0.0\n",
       "    scale_factor:  1.0\n",
       "    add_offset:    0.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c6cf7b7d-c253-4e44-a3a7-c23c13e490df' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c6cf7b7d-c253-4e44-a3a7-c23c13e490df' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 4320</li><li><span class='xr-has-index'>y</span>: 1668</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8233047f-27c3-4b61-a2a6-6fbf1dbd94c2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8233047f-27c3-4b61-a2a6-6fbf1dbd94c2' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-179.9 -179.9 ... 179.9 180.0</div><input id='attrs-bb37d119-a7a9-4cdd-b0a3-d97d586c3f60' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bb37d119-a7a9-4cdd-b0a3-d97d586c3f60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-867193b6-f0e4-4c76-87ca-150a29b77699' class='xr-var-data-in' type='checkbox'><label for='data-867193b6-f0e4-4c76-87ca-150a29b77699' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-179.95    , -179.866667, -179.783333, ...,  179.800029,  179.883362,\n",
       "        179.966695])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>83.05 82.96 82.88 ... -55.79 -55.87</div><input id='attrs-98f7b7b5-fc08-4392-bd9e-9e4762efdbe7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-98f7b7b5-fc08-4392-bd9e-9e4762efdbe7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ee2a323-c492-44d4-965f-4f207b121ce0' class='xr-var-data-in' type='checkbox'><label for='data-4ee2a323-c492-44d4-965f-4f207b121ce0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 83.046678,  82.963344,  82.880011, ..., -55.703333, -55.786667,\n",
       "       -55.87    ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-09ff0ba6-96ab-4973-ae66-8c656b1f7314' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09ff0ba6-96ab-4973-ae66-8c656b1f7314' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4531a109-a225-4b60-a2b3-3f1df3887f4c' class='xr-var-data-in' type='checkbox'><label for='data-4531a109-a225-4b60-a2b3-3f1df3887f4c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-179.99166664999998 0.08333334 0.0 83.08834447000001 0.0 -0.08333334</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fd2a2e75-f9f4-4ba9-9501-e66ffe0313a8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fd2a2e75-f9f4-4ba9-9501-e66ffe0313a8' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>water_footprint</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7cfe5e78-fa1e-48e0-867a-a35bf6097419' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7cfe5e78-fa1e-48e0-867a-a35bf6097419' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40c97d56-e38a-4bf6-8af6-d9e3a8a74e64' class='xr-var-data-in' type='checkbox'><label for='data-40c97d56-e38a-4bf6-8af6-d9e3a8a74e64' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_FillValue :</span></dt><dd>0.0</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[7205760 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bc4e33e1-c585-4511-abee-134e3dd6e57a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bc4e33e1-c585-4511-abee-134e3dd6e57a' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>_FillValue :</span></dt><dd>0.0</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:          (x: 4320, y: 1668)\n",
       "Coordinates:\n",
       "  * x                (x) float64 -179.9 -179.9 -179.8 ... 179.8 179.9 180.0\n",
       "  * y                (y) float64 83.05 82.96 82.88 82.8 ... -55.7 -55.79 -55.87\n",
       "    spatial_ref      int64 0\n",
       "Data variables:\n",
       "    water_footprint  (y, x) float32 ...\n",
       "Attributes:\n",
       "    _FillValue:    0.0\n",
       "    scale_factor:  1.0\n",
       "    add_offset:    0.0"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xda = rxr.open_rasterio(path+'/bl_wf_mmyr_area.tif').squeeze().drop(\"band\")\n",
    "# convert to Dataset \n",
    "xds_wf = xr.Dataset({'water_footprint': xda}, attrs=xda.attrs)\n",
    "xds_wf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "bf12bcb7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "color_list = [\"#ffffff\", \"#73b3d8\", \"#2879b9\", \"#08306b\"]\n",
    "values = [0, 29584100, 863202440, 10063202440,  105581714153]\n",
    "title = 'Water footprint (mm/year)'\n",
    "\n",
    "da_plot(xds_wf['water_footprint'], geom, color_list, values, title, x='x', y='y', xlim=(65,100), ylim=(4,40))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4462a20a",
   "metadata": {},
   "source": [
    "**Cotto production**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "16463044",
   "metadata": {},
   "outputs": [
    {
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       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:            (x: 4320, y: 2160)\n",
       "Coordinates:\n",
       "  * x                  (x) float64 -180.0 -179.9 -179.8 ... 179.8 179.9 180.0\n",
       "  * y                  (y) float64 89.96 89.87 89.79 ... -89.79 -89.88 -89.96\n",
       "    spatial_ref        int64 0\n",
       "Data variables:\n",
       "    cotton_production  (y, x) float32 ...\n",
       "Attributes:\n",
       "    scale_factor:  1.0\n",
       "    add_offset:    0.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1d37e942-3917-4fc7-acb1-ac45324b35ef' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1d37e942-3917-4fc7-acb1-ac45324b35ef' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 4320</li><li><span class='xr-has-index'>y</span>: 2160</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-068462ce-6560-4536-9d44-320c3c414d14' class='xr-section-summary-in' type='checkbox'  checked><label for='section-068462ce-6560-4536-9d44-320c3c414d14' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.9 180.0</div><input id='attrs-9a55ec99-caa3-4e58-b45c-0ef8c1d7c035' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9a55ec99-caa3-4e58-b45c-0ef8c1d7c035' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a390902-70c4-4f89-b1d5-62492f21506e' class='xr-var-data-in' type='checkbox'><label for='data-0a390902-70c4-4f89-b1d5-62492f21506e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-179.958333, -179.875   , -179.791667, ...,  179.791667,  179.875   ,\n",
       "        179.958333])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>89.96 89.87 89.79 ... -89.88 -89.96</div><input id='attrs-126b9b0c-ad36-45ea-964e-97f862d12629' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-126b9b0c-ad36-45ea-964e-97f862d12629' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-056728d7-a7bf-4e9d-bb04-38d509fb6d26' class='xr-var-data-in' type='checkbox'><label for='data-056728d7-a7bf-4e9d-bb04-38d509fb6d26' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 89.958333,  89.875   ,  89.791667, ..., -89.791667, -89.875   ,\n",
       "       -89.958333])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-77176e11-25bc-4930-a5a7-15f5a7695267' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77176e11-25bc-4930-a5a7-15f5a7695267' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90b68a96-e351-4798-82ee-9038d160a206' class='xr-var-data-in' type='checkbox'><label for='data-90b68a96-e351-4798-82ee-9038d160a206' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-180.0 0.0833333333333286 0.0 89.99999999998977 0.0 -0.0833333333333286</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-29edaffd-a0e8-4f64-8462-aa9239f41715' class='xr-section-summary-in' type='checkbox'  checked><label for='section-29edaffd-a0e8-4f64-8462-aa9239f41715' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>cotton_production</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a2f1d844-ad7d-430c-a787-aff6f4832ea2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2f1d844-ad7d-430c-a787-aff6f4832ea2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5378b82-39ca-40a6-8051-848027e4b6ae' class='xr-var-data-in' type='checkbox'><label for='data-d5378b82-39ca-40a6-8051-848027e4b6ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[9331200 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a5313068-68ee-4cf8-8660-04e0af8ad150' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a5313068-68ee-4cf8-8660-04e0af8ad150' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:            (x: 4320, y: 2160)\n",
       "Coordinates:\n",
       "  * x                  (x) float64 -180.0 -179.9 -179.8 ... 179.8 179.9 180.0\n",
       "  * y                  (y) float64 89.96 89.87 89.79 ... -89.79 -89.88 -89.96\n",
       "    spatial_ref        int64 0\n",
       "Data variables:\n",
       "    cotton_production  (y, x) float32 ...\n",
       "Attributes:\n",
       "    scale_factor:  1.0\n",
       "    add_offset:    0.0"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xda = rxr.open_rasterio(path+'/cotton/cotton_Production.tif').squeeze().drop(\"band\")\n",
    "# convert to Dataset \n",
    "xds_cp = xr.Dataset({'cotton_production': xda}, attrs=xda.attrs)\n",
    "xds_cp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "61f0f81b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "color_list = [\"#ffffff\", \"#7bc87c\", \"#2a924a\", \"#00441b\"]\n",
    "values = [0, 100, 1000, 5000, 10000]\n",
    "\n",
    "title = 'Cotton production (tons)'\n",
    "\n",
    "da_plot(xds_cp['cotton_production'], geom, color_list, values, title, x='x', y='y', xlim=(65,100), ylim=(4,40))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d7dc21c",
   "metadata": {},
   "source": [
    "**Cotto harvested area**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7f99c384",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                (x: 4320, y: 2160)\n",
       "Coordinates:\n",
       "  * x                      (x) float64 -180.0 -179.9 -179.8 ... 179.9 180.0\n",
       "  * y                      (y) float64 89.96 89.87 89.79 ... -89.88 -89.96\n",
       "    spatial_ref            int64 0\n",
       "Data variables:\n",
       "    cotton_harvested_area  (y, x) float32 ...\n",
       "Attributes:\n",
       "    scale_factor:  1.0\n",
       "    add_offset:    0.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7a551e82-7ca2-47c3-8772-317fe32f79f3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7a551e82-7ca2-47c3-8772-317fe32f79f3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 4320</li><li><span class='xr-has-index'>y</span>: 2160</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-993ae3b6-327a-4cda-9fb2-64db17ef3b2a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-993ae3b6-327a-4cda-9fb2-64db17ef3b2a' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.9 180.0</div><input id='attrs-db5770e5-4502-4b9f-9a8e-3043ab35ace4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-db5770e5-4502-4b9f-9a8e-3043ab35ace4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e9031c8-af6b-4feb-a1d0-8cee5443852c' class='xr-var-data-in' type='checkbox'><label for='data-5e9031c8-af6b-4feb-a1d0-8cee5443852c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-179.958333, -179.875   , -179.791667, ...,  179.791667,  179.875   ,\n",
       "        179.958333])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>89.96 89.87 89.79 ... -89.88 -89.96</div><input id='attrs-9d0c3d72-7def-4db5-a1a9-606757e96ff9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9d0c3d72-7def-4db5-a1a9-606757e96ff9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c18275f-f50f-4a19-90c5-4511f9a95c4c' class='xr-var-data-in' type='checkbox'><label for='data-0c18275f-f50f-4a19-90c5-4511f9a95c4c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 89.958333,  89.875   ,  89.791667, ..., -89.791667, -89.875   ,\n",
       "       -89.958333])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-10d23623-8f9e-4dfd-b37c-1f7124157f7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10d23623-8f9e-4dfd-b37c-1f7124157f7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e56e703-135f-43eb-86f6-e353fb930070' class='xr-var-data-in' type='checkbox'><label for='data-8e56e703-135f-43eb-86f6-e353fb930070' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-180.0 0.0833333333333286 0.0 89.99999999998977 0.0 -0.0833333333333286</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ab384214-7ca8-4368-8beb-69ded1d0d832' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ab384214-7ca8-4368-8beb-69ded1d0d832' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>cotton_harvested_area</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d6702aa6-cc33-4c2d-80c2-877469ee1d9a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6702aa6-cc33-4c2d-80c2-877469ee1d9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d9a8bd9-9033-43e7-85c0-ba20df394342' class='xr-var-data-in' type='checkbox'><label for='data-6d9a8bd9-9033-43e7-85c0-ba20df394342' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[9331200 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-98ebcdb3-21db-445b-8c18-1070211be634' class='xr-section-summary-in' type='checkbox'  checked><label for='section-98ebcdb3-21db-445b-8c18-1070211be634' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                (x: 4320, y: 2160)\n",
       "Coordinates:\n",
       "  * x                      (x) float64 -180.0 -179.9 -179.8 ... 179.9 180.0\n",
       "  * y                      (y) float64 89.96 89.87 89.79 ... -89.88 -89.96\n",
       "    spatial_ref            int64 0\n",
       "Data variables:\n",
       "    cotton_harvested_area  (y, x) float32 ...\n",
       "Attributes:\n",
       "    scale_factor:  1.0\n",
       "    add_offset:    0.0"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xda = rxr.open_rasterio(path+'/cotton/cotton_HarvestedAreaHectares.tif').squeeze().drop(\"band\")\n",
    "# convert to Dataset \n",
    "xds_cha = xr.Dataset({'cotton_harvested_area': xda}, attrs=xda.attrs)\n",
    "xds_cha"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "436adfc3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "color_list = [\"#ffffff\", \"#7bc87c\", \"#2a924a\", \"#00441b\"]\n",
    "values = [0, 10, 100, 1000, 7000]\n",
    "title = 'Cotton harvested area (hectares)'\n",
    "\n",
    "da_plot(xds_cha['cotton_harvested_area'], geom, color_list, values, title, x='x', y='y', xlim=(65,100), ylim=(4,40))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9a64bb2",
   "metadata": {},
   "source": [
    "#### Merge datasets \n",
    "**Equal extents and coordinates**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b321cca8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Water footprint bbox:  (-179.99166664999998, -55.91166665, 180.00836215000007, 83.08834447000001)\n"
     ]
    }
   ],
   "source": [
    "print(\"Water footprint bbox: \", xds_wf.rio.bounds())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ba523e97",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Input file size is 4320, 2160\n",
      "0...10...20...30...40...50...60...70...80...90...100 - done.\n",
      "Input file size is 4320, 2160\n",
      "0...10...20...30...40...50...60...70...80...90...100 - done.\n"
     ]
    },
    {
     "data": {
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       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                (x: 4320, y: 1668)\n",
       "Coordinates:\n",
       "  * x                      (x) float64 -179.9 -179.9 -179.8 ... 179.9 180.0\n",
       "  * y                      (y) float64 83.05 82.96 82.88 ... -55.7 -55.79 -55.87\n",
       "    spatial_ref            int64 0\n",
       "Data variables:\n",
       "    water_footprint        (y, x) float32 ...\n",
       "    cotton_production      (y, x) float32 ...\n",
       "    cotton_harvested_area  (y, x) float32 ...\n",
       "Attributes:\n",
       "    _FillValue:    0.0\n",
       "    scale_factor:  1.0\n",
       "    add_offset:    0.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-37eebba7-bc9a-4a05-8a0e-4583fa4e4063' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-37eebba7-bc9a-4a05-8a0e-4583fa4e4063' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 4320</li><li><span class='xr-has-index'>y</span>: 1668</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-02476874-1e8f-4c26-b81e-979aa2d77836' class='xr-section-summary-in' type='checkbox'  checked><label for='section-02476874-1e8f-4c26-b81e-979aa2d77836' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-179.9 -179.9 ... 179.9 180.0</div><input id='attrs-98bf89d0-1a2f-4dc0-a82a-7b34f4ec4d71' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-98bf89d0-1a2f-4dc0-a82a-7b34f4ec4d71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b28254b-4bf8-4b07-8003-e5ab44b7c392' class='xr-var-data-in' type='checkbox'><label for='data-3b28254b-4bf8-4b07-8003-e5ab44b7c392' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-179.95    , -179.866667, -179.783333, ...,  179.800029,  179.883362,\n",
       "        179.966695])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>83.05 82.96 82.88 ... -55.79 -55.87</div><input id='attrs-1d57941f-04d3-4043-8a79-5ee059c98668' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1d57941f-04d3-4043-8a79-5ee059c98668' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a48d95ca-1bfc-4761-99ee-564e16f10dae' class='xr-var-data-in' type='checkbox'><label for='data-a48d95ca-1bfc-4761-99ee-564e16f10dae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 83.046678,  82.963344,  82.880011, ..., -55.703333, -55.786667,\n",
       "       -55.87    ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-2e92bb59-8bd6-4cb6-b9ad-cb2d8faa9f4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e92bb59-8bd6-4cb6-b9ad-cb2d8faa9f4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd0ee197-43af-450b-bebf-6eb2ac5d9898' class='xr-var-data-in' type='checkbox'><label for='data-bd0ee197-43af-450b-bebf-6eb2ac5d9898' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-179.99166664999998 0.08333334 0.0 83.08834447000001 0.0 -0.08333334</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b229f92d-13f9-4f11-bebe-92b92b9690fc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b229f92d-13f9-4f11-bebe-92b92b9690fc' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>water_footprint</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-73d24f4c-5a37-45e3-a2c8-7c9821fc6416' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73d24f4c-5a37-45e3-a2c8-7c9821fc6416' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-705ef5e7-48de-4c50-b570-58e5b3a9e3ac' class='xr-var-data-in' type='checkbox'><label for='data-705ef5e7-48de-4c50-b570-58e5b3a9e3ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_FillValue :</span></dt><dd>0.0</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[7205760 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cotton_production</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ff935274-4ade-456e-9d3d-cfe5575692d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff935274-4ade-456e-9d3d-cfe5575692d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8beeb66-be48-45da-a27a-c424dc67bf79' class='xr-var-data-in' type='checkbox'><label for='data-b8beeb66-be48-45da-a27a-c424dc67bf79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[7205760 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cotton_harvested_area</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3b5966e7-e547-4923-bca4-1280a869c71e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b5966e7-e547-4923-bca4-1280a869c71e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0de2874-30e3-4053-9750-0b26c7bd4408' class='xr-var-data-in' type='checkbox'><label for='data-e0de2874-30e3-4053-9750-0b26c7bd4408' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[7205760 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-56d72b9a-ba9f-4d6e-bc34-652aab078eea' class='xr-section-summary-in' type='checkbox'  checked><label for='section-56d72b9a-ba9f-4d6e-bc34-652aab078eea' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>_FillValue :</span></dt><dd>0.0</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                (x: 4320, y: 1668)\n",
       "Coordinates:\n",
       "  * x                      (x) float64 -179.9 -179.9 -179.8 ... 179.9 180.0\n",
       "  * y                      (y) float64 83.05 82.96 82.88 ... -55.7 -55.79 -55.87\n",
       "    spatial_ref            int64 0\n",
       "Data variables:\n",
       "    water_footprint        (y, x) float32 ...\n",
       "    cotton_production      (y, x) float32 ...\n",
       "    cotton_harvested_area  (y, x) float32 ...\n",
       "Attributes:\n",
       "    _FillValue:    0.0\n",
       "    scale_factor:  1.0\n",
       "    add_offset:    0.0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "variables = {\"cotton_production\": \"cotton_Production\",\n",
    "\"cotton_harvested_area\": \"cotton_HarvestedAreaHectares\"}\n",
    "\n",
    "xds = xds_wf.copy()\n",
    "\n",
    "for variable, file_name in variables.items():\n",
    "    # Clip raster by extent:\n",
    "    !gdal_translate -projwin -179.99166664999998 83.08834447000001 180.00836215000007 -55.91166665 -of GTiff $path\"cotton/{file_name}.tif\" $path\"cotton/{file_name}_wf_box.tif\"\n",
    "\n",
    "    # Create dataset\n",
    "    xda = rxr.open_rasterio(path+f'/cotton/{file_name}_wf_box.tif').squeeze().drop(\"band\")\n",
    "    # convert to Dataset \n",
    "    xds_tmp = xr.Dataset({variable: xda}, attrs=xda.attrs)\n",
    "\n",
    "    # Assign water footprint coords\n",
    "    xds_tmp = xds_tmp.assign_coords(x=xds_wf.x.values)\n",
    "    xds_tmp = xds_tmp.assign_coords(y=xds_wf.y.values)\n",
    "\n",
    "    # Add variable to water footprint dataset\n",
    "    xds[variable] = xds_tmp[variable]\n",
    "\n",
    "xds "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "718c8b97",
   "metadata": {},
   "source": [
    "# Compute Water risk:\n",
    "\n",
    "Water risk  (m3 / year tons) = water footprint (m3/year) / Total Production (tons)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4441148",
   "metadata": {},
   "source": [
    "**Total production of cotton**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "18ec4412",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total production of cotton: 51099980.0 tonnes\n"
     ]
    }
   ],
   "source": [
    "tot_pro = xds[\"cotton_production\"].sum().data\n",
    "print(f'Total production of cotton: {tot_pro} tonnes')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "21630245",
   "metadata": {},
   "outputs": [],
   "source": [
    "mm_to_m3 = 0.001\n",
    "\n",
    "xds_risk = xds.where(xds.cotton_production > 0).copy()\n",
    "\n",
    "xds = xds.assign(water_risk = xds_risk.water_footprint*mm_to_m3/tot_pro)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b0865a70",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "color_list = [\"#ffffff\", \"#fed98e\", \"#fe9929\", \"#d95f0e\" ]\n",
    "values = [0,0.1, 1, 1.5, 2]\n",
    "\n",
    "title = 'Water risk for cotton (m3/year * tons)'\n",
    "\n",
    "da_plot(xds[\"water_risk\"], geom, color_list, values, title, x='x', y='y', xlim=(65,100), ylim=(4,40))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29815907",
   "metadata": {},
   "source": [
    "# Compute Water impact:\n",
    "\n",
    "Let's say that we have a user that is buying 745 tonnes of cotton in india."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01ae681c",
   "metadata": {},
   "source": [
    "**Clip dataset with India**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "6ca3cfbd",
   "metadata": {},
   "outputs": [],
   "source": [
    "xds_ind = xds.rio.clip(geom.geometry, geom.crs, drop=False, invert=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "23d5e677",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       ".xr-attrs dt,\n",
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                (y: 1668, x: 4320)\n",
       "Coordinates:\n",
       "  * y                      (y) float64 83.05 82.96 82.88 ... -55.7 -55.79 -55.87\n",
       "  * x                      (x) float64 -179.9 -179.9 -179.8 ... 179.9 180.0\n",
       "    spatial_ref            int64 0\n",
       "Data variables:\n",
       "    water_footprint        (y, x) float32 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    cotton_production      (y, x) float32 nan nan nan nan ... nan nan nan nan\n",
       "    cotton_harvested_area  (y, x) float32 nan nan nan nan ... nan nan nan nan\n",
       "    water_risk             (y, x) float32 nan nan nan nan ... nan nan nan nan\n",
       "Attributes:\n",
       "    _FillValue:    0.0\n",
       "    scale_factor:  1.0\n",
       "    add_offset:    0.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e7a17bec-ad7d-4c90-81e9-67798d2e00e4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e7a17bec-ad7d-4c90-81e9-67798d2e00e4' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1668</li><li><span class='xr-has-index'>x</span>: 4320</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1766add5-0116-4c36-a99c-2ab687729ff3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1766add5-0116-4c36-a99c-2ab687729ff3' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>83.05 82.96 82.88 ... -55.79 -55.87</div><input id='attrs-1b59d9db-bd75-4df3-8d9a-c6245986a5ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b59d9db-bd75-4df3-8d9a-c6245986a5ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e55599a7-43ba-4a8e-a260-f367855ffb0e' class='xr-var-data-in' type='checkbox'><label for='data-e55599a7-43ba-4a8e-a260-f367855ffb0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([ 83.046678,  82.963344,  82.880011, ..., -55.703333, -55.786667,\n",
       "       -55.87    ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-179.9 -179.9 ... 179.9 180.0</div><input id='attrs-a9b3a533-d494-40ed-b19e-a212efb21b84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9b3a533-d494-40ed-b19e-a212efb21b84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d13048b8-069d-4806-baf0-48090195d3cf' class='xr-var-data-in' type='checkbox'><label for='data-d13048b8-069d-4806-baf0-48090195d3cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-179.95    , -179.866667, -179.783333, ...,  179.800029,  179.883362,\n",
       "        179.966695])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-9cedcb32-39b5-4d35-ad9d-0dbc1f22a66e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9cedcb32-39b5-4d35-ad9d-0dbc1f22a66e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2754789f-5ff4-4503-9db8-6b8f751e716e' class='xr-var-data-in' type='checkbox'><label for='data-2754789f-5ff4-4503-9db8-6b8f751e716e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-179.99166664999998 0.08333334 0.0 83.08834447000001 0.0 -0.08333334</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2e4d15b3-fa5b-44b1-901a-2343f05fc992' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2e4d15b3-fa5b-44b1-901a-2343f05fc992' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>water_footprint</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-bcf7d14a-7846-4d9a-80c4-49b9f30301ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bcf7d14a-7846-4d9a-80c4-49b9f30301ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5fae459d-f52c-437d-97cf-bc9822c249d1' class='xr-var-data-in' type='checkbox'><label for='data-5fae459d-f52c-437d-97cf-bc9822c249d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd><dt><span>_FillValue :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cotton_production</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-bc72680f-83d8-4776-bf9a-9ae9c1a53a6e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc72680f-83d8-4776-bf9a-9ae9c1a53a6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9f93a99-d29e-4a92-aad8-ae023501313a' class='xr-var-data-in' type='checkbox'><label for='data-c9f93a99-d29e-4a92-aad8-ae023501313a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cotton_harvested_area</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-fb86a584-ab3d-4f17-ba54-0671918bddea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb86a584-ab3d-4f17-ba54-0671918bddea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-677ed802-6014-4762-9647-d6a47823b2f5' class='xr-var-data-in' type='checkbox'><label for='data-677ed802-6014-4762-9647-d6a47823b2f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_risk</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-1a2809c8-57fe-4e64-950d-578beb250a1f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1a2809c8-57fe-4e64-950d-578beb250a1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af11ddc2-d4d0-4e18-8e96-d6539b3400ac' class='xr-var-data-in' type='checkbox'><label for='data-af11ddc2-d4d0-4e18-8e96-d6539b3400ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-46d6a85b-0fbd-4fb3-8901-7b3dffaa8daa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-46d6a85b-0fbd-4fb3-8901-7b3dffaa8daa' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>_FillValue :</span></dt><dd>0.0</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                (y: 1668, x: 4320)\n",
       "Coordinates:\n",
       "  * y                      (y) float64 83.05 82.96 82.88 ... -55.7 -55.79 -55.87\n",
       "  * x                      (x) float64 -179.9 -179.9 -179.8 ... 179.9 180.0\n",
       "    spatial_ref            int64 0\n",
       "Data variables:\n",
       "    water_footprint        (y, x) float32 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    cotton_production      (y, x) float32 nan nan nan nan ... nan nan nan nan\n",
       "    cotton_harvested_area  (y, x) float32 nan nan nan nan ... nan nan nan nan\n",
       "    water_risk             (y, x) float32 nan nan nan nan ... nan nan nan nan\n",
       "Attributes:\n",
       "    _FillValue:    0.0\n",
       "    scale_factor:  1.0\n",
       "    add_offset:    0.0"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xds_ind"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "66c2a64a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "color_list = [\"#ffffff\", \"#7bc87c\", \"#2a924a\", \"#00441b\"]\n",
    "values = [0, 10, 100, 1000, 7000]\n",
    "\n",
    "title = 'Cotton harvested area in India (hectares)'\n",
    "\n",
    "da_plot(xds_ind['cotton_harvested_area'], geom, color_list, values, title, x='x', y='y', xlim=(65,100), ylim=(4,40))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6927963f",
   "metadata": {},
   "source": [
    "**Total production of cotton in India**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "7f700ecb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total production of cotton in India: 4604422.0 tons\n"
     ]
    }
   ],
   "source": [
    "tot_pro_ind = xds_ind[\"cotton_production\"].sum().data\n",
    "print(f'Total production of cotton in India: {tot_pro_ind } tons')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "467cdea4",
   "metadata": {},
   "source": [
    "**Total harvest area of cotton in India**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "76bc1bc1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total harvest area of cotton in India: 6977546.0 hectares\n"
     ]
    }
   ],
   "source": [
    "tot_ha = xds_ind[\"cotton_harvested_area\"].sum().data\n",
    "print(f'Total harvest area of cotton in India: {tot_ha} hectares')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df6e0d28",
   "metadata": {},
   "source": [
    "### **Evenly distributed volume**\n",
    "\n",
    "If the volume is distributed evenly across the entire area\n",
    "\n",
    "Water impact (m3 /year) = Water risk  (m3 / year tons) * Volume(tons) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "565c6c81",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total water impact for cotton in India:: 128.13437595963478 m3/yr\n"
     ]
    }
   ],
   "source": [
    "volume = 745\n",
    "mean_risk = xds_ind['water_risk'].mean().data\n",
    "print(f'Total water impact for cotton in India:: {mean_risk * volume} m3/yr')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bcab4b42",
   "metadata": {},
   "source": [
    "### **Probability purchase area**\n",
    "\n",
    "The volume is distributed using the 'probabilistics purchase area' approach:\n",
    "\n",
    "Probability purchase area (tons)  = (Volume(tons) / Total harvest area(ha)) * Harvest area(ha)\n",
    "\n",
    "Water impact (m3 /year) = Water risk  (m3 / year tons) * Probability purchase area (tons)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "df6e72ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "xds_ind = xds_ind.assign(probability_purchase_area = (volume/tot_ha)* xds_ind[\"cotton_harvested_area\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "514a8282",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "color_list = [\"#ffffff\", \"#a2b9bc\", \"#878f99\", \"#b2ad7f\", \"#6b5b95\"]\n",
    "values = [0, 0.005, 0.01, 0.025, 0.05, 0.1]\n",
    "\n",
    "title = 'Probability purchase area (tons)'\n",
    "\n",
    "da_plot(xds_ind['probability_purchase_area'], geom, color_list, values, title, x='x', y='y', xlim=(65,100), ylim=(4,40))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30283534",
   "metadata": {},
   "source": [
    "Check that the volume distributed is equal to the volume injested by the user."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "04718044",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total distrivuted volume of cottom in India: 744.9995727539062 tons\n"
     ]
    }
   ],
   "source": [
    "tot_ha = xds_ind[\"probability_purchase_area\"].sum().data\n",
    "print(f'Total distrivuted volume of cottom in India: {tot_ha} tons')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11124c81",
   "metadata": {},
   "source": [
    "**Water impact**\n",
    "\n",
    "Water impact (m3/year) = Water risk (m3/year * tons) * Probability purchase area (tons)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "584ffcfc",
   "metadata": {},
   "outputs": [],
   "source": [
    "xds_ind = xds_ind.assign(water_impact = xds_ind['water_risk'] * xds_ind['probability_purchase_area'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "a1408fb6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "color_list = [\"#ffffff\", \"#fc9272\", \"#ef3b2c\", \"#a50f15\" ]\n",
    "values = [0,0.025, 0.05, 0.075,  0.1]\n",
    "\n",
    "title = 'Distribution of the water impact for 745 tonnes of cotton in India (m3/year)'\n",
    "\n",
    "da_plot(xds_ind['water_impact'], geom, color_list, values, title, x='x', y='y', xlim=(65,100), ylim=(4,40))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9717bceb",
   "metadata": {},
   "source": [
    "**Total impact for 745 tonnes of cotton in india**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "6691f1b9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total water impact for cotton in India:: 157.9358367919922 m3/yr\n"
     ]
    }
   ],
   "source": [
    "tot_impact = xds_ind['water_impact'].sum().data\n",
    "print(f'Total water impact for cotton in India:: {tot_impact} m3/yr')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f3efa548",
   "metadata": {},
   "source": [
    "**Total impact of all produced cotton in india**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "e9a48c99",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total water impact for cotton in India:: 9142100992.0 m3/yr\n"
     ]
    }
   ],
   "source": [
    "tot_impact_all = (((xds_ind[\"water_footprint\"]*mm_to_m3)/tot_pro) * (xds_ind[\"cotton_harvested_area\"]/tot_ha) * tot_pro_ind).sum().data\n",
    "print(f'Total water impact for cotton in India:: {tot_impact_all} m3/yr')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49e0c8ca",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}