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 "cells": [
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   "cell_type": "markdown",
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   "source": [
    "# Example - Zonal Statistics\n",
    "This is useful in the case where you want to get regional statistics for a raster."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import geopandas\n",
    "import numpy\n",
    "import rioxarray\n",
    "import xarray\n",
    "\n",
    "from geocube.api.core import make_geocube\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create the data mask by rasterizing the unique ID of the vector data\n",
    "\n",
    "See docs for [make_geocube](../geocube.rst#make-geocube)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This assumes you are running this example from a clone of\n",
    "# https://github.com/corteva/geocube/\n",
    "# You could also use the full path: \n",
    "# https://raw.githubusercontent.com/corteva/geocube/master/test/test_data/input/soil_data_group.geojson\n",
    "ssurgo_data = geopandas.read_file(\"../../test/test_data/input/soil_data_group.geojson\")\n",
    "ssurgo_data = ssurgo_data.loc[ssurgo_data.hzdept_r==0]\n",
    "# convert the key to group to the vector data to an integer as that is one of the\n",
    "# best data types for this type of mapping. If your data is not integer,\n",
    "# then consider using a mapping of your data to an integer with something\n",
    "# like a categorical dtype.\n",
    "ssurgo_data[\"mukey\"] = ssurgo_data.mukey.astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load in source elevation data subset relevant for the vector data\n",
    "elevation = rioxarray.open_rasterio(\n",
    "    \"https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/13/TIFF/current/n42w091/USGS_13_n42w091.tif\", masked=True\n",
    ").rio.clip(\n",
    "    ssurgo_data.geometry.values, ssurgo_data.crs, from_disk=True\n",
    ").sel(band=1).drop(\"band\")\n",
    "elevation.name = \"elevation\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "out_grid = make_geocube(\n",
    "    vector_data=ssurgo_data,\n",
    "    measurements=[\"mukey\"],\n",
    "    like=elevation, # ensure the data are on the same grid\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (y: 178, x: 178)\n",
       "Coordinates:\n",
       "  * y            (y) float64 41.5 41.5 41.5 41.5 ... 41.48 41.48 41.48 41.48\n",
       "  * x            (x) float64 -90.6 -90.6 -90.6 -90.6 ... -90.58 -90.58 -90.58\n",
       "    spatial_ref  int64 0\n",
       "Data variables:\n",
       "    mukey        (y, x) float64 1.988e+05 1.988e+05 ... 1.987e+05 1.987e+05\n",
       "    elevation    (y, x) float64 173.7 172.0 171.1 170.6 ... 181.0 181.2 181.4</pre><div class='xr-wrap' hidden><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-88728980-03ee-469b-896a-e44382fe431a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-88728980-03ee-469b-896a-e44382fe431a' 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>: 178</li><li><span class='xr-has-index'>x</span>: 178</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b9d26597-5207-46a7-a01b-8ab01b6056b4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b9d26597-5207-46a7-a01b-8ab01b6056b4' 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'>41.5 41.5 41.5 ... 41.48 41.48</div><input id='attrs-1d3c7f83-fb72-4a4c-88ce-680f6aacfa7c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d3c7f83-fb72-4a4c-88ce-680f6aacfa7c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f10a7f06-20aa-456c-ad2c-5111aa4a0a15' class='xr-var-data-in' type='checkbox'><label for='data-f10a7f06-20aa-456c-ad2c-5111aa4a0a15' 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([41.499861, 41.499769, 41.499676, 41.499583, 41.499491, 41.499398,\n",
       "       41.499306, 41.499213, 41.49912 , 41.499028, 41.498935, 41.498843,\n",
       "       41.49875 , 41.498657, 41.498565, 41.498472, 41.49838 , 41.498287,\n",
       "       41.498194, 41.498102, 41.498009, 41.497917, 41.497824, 41.497731,\n",
       "       41.497639, 41.497546, 41.497454, 41.497361, 41.497269, 41.497176,\n",
       "       41.497083, 41.496991, 41.496898, 41.496806, 41.496713, 41.49662 ,\n",
       "       41.496528, 41.496435, 41.496343, 41.49625 , 41.496157, 41.496065,\n",
       "       41.495972, 41.49588 , 41.495787, 41.495694, 41.495602, 41.495509,\n",
       "       41.495417, 41.495324, 41.495231, 41.495139, 41.495046, 41.494954,\n",
       "       41.494861, 41.494769, 41.494676, 41.494583, 41.494491, 41.494398,\n",
       "       41.494306, 41.494213, 41.49412 , 41.494028, 41.493935, 41.493843,\n",
       "       41.49375 , 41.493657, 41.493565, 41.493472, 41.49338 , 41.493287,\n",
       "       41.493194, 41.493102, 41.493009, 41.492917, 41.492824, 41.492731,\n",
       "       41.492639, 41.492546, 41.492454, 41.492361, 41.492269, 41.492176,\n",
       "       41.492083, 41.491991, 41.491898, 41.491806, 41.491713, 41.49162 ,\n",
       "       41.491528, 41.491435, 41.491343, 41.49125 , 41.491157, 41.491065,\n",
       "       41.490972, 41.49088 , 41.490787, 41.490694, 41.490602, 41.490509,\n",
       "       41.490417, 41.490324, 41.490231, 41.490139, 41.490046, 41.489954,\n",
       "       41.489861, 41.489769, 41.489676, 41.489583, 41.489491, 41.489398,\n",
       "       41.489306, 41.489213, 41.48912 , 41.489028, 41.488935, 41.488843,\n",
       "       41.48875 , 41.488657, 41.488565, 41.488472, 41.48838 , 41.488287,\n",
       "       41.488194, 41.488102, 41.488009, 41.487917, 41.487824, 41.487731,\n",
       "       41.487639, 41.487546, 41.487454, 41.487361, 41.487269, 41.487176,\n",
       "       41.487083, 41.486991, 41.486898, 41.486806, 41.486713, 41.48662 ,\n",
       "       41.486528, 41.486435, 41.486343, 41.48625 , 41.486157, 41.486065,\n",
       "       41.485972, 41.48588 , 41.485787, 41.485694, 41.485602, 41.485509,\n",
       "       41.485417, 41.485324, 41.485231, 41.485139, 41.485046, 41.484954,\n",
       "       41.484861, 41.484769, 41.484676, 41.484583, 41.484491, 41.484398,\n",
       "       41.484306, 41.484213, 41.48412 , 41.484028, 41.483935, 41.483843,\n",
       "       41.48375 , 41.483657, 41.483565, 41.483472])</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'>-90.6 -90.6 -90.6 ... -90.58 -90.58</div><input id='attrs-4d6fbf76-f665-4baa-83bb-81ce61118368' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d6fbf76-f665-4baa-83bb-81ce61118368' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f639b99-6444-4ee3-ac8d-9db0f55c1e5c' class='xr-var-data-in' type='checkbox'><label for='data-7f639b99-6444-4ee3-ac8d-9db0f55c1e5c' 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([-90.599861, -90.599769, -90.599676, -90.599583, -90.599491, -90.599398,\n",
       "       -90.599306, -90.599213, -90.59912 , -90.599028, -90.598935, -90.598843,\n",
       "       -90.59875 , -90.598657, -90.598565, -90.598472, -90.59838 , -90.598287,\n",
       "       -90.598194, -90.598102, -90.598009, -90.597917, -90.597824, -90.597731,\n",
       "       -90.597639, -90.597546, -90.597454, -90.597361, -90.597269, -90.597176,\n",
       "       -90.597083, -90.596991, -90.596898, -90.596806, -90.596713, -90.59662 ,\n",
       "       -90.596528, -90.596435, -90.596343, -90.59625 , -90.596157, -90.596065,\n",
       "       -90.595972, -90.59588 , -90.595787, -90.595694, -90.595602, -90.595509,\n",
       "       -90.595417, -90.595324, -90.595231, -90.595139, -90.595046, -90.594954,\n",
       "       -90.594861, -90.594769, -90.594676, -90.594583, -90.594491, -90.594398,\n",
       "       -90.594306, -90.594213, -90.59412 , -90.594028, -90.593935, -90.593843,\n",
       "       -90.59375 , -90.593657, -90.593565, -90.593472, -90.59338 , -90.593287,\n",
       "       -90.593194, -90.593102, -90.593009, -90.592917, -90.592824, -90.592731,\n",
       "       -90.592639, -90.592546, -90.592454, -90.592361, -90.592269, -90.592176,\n",
       "       -90.592083, -90.591991, -90.591898, -90.591806, -90.591713, -90.59162 ,\n",
       "       -90.591528, -90.591435, -90.591343, -90.59125 , -90.591157, -90.591065,\n",
       "       -90.590972, -90.59088 , -90.590787, -90.590694, -90.590602, -90.590509,\n",
       "       -90.590417, -90.590324, -90.590231, -90.590139, -90.590046, -90.589954,\n",
       "       -90.589861, -90.589769, -90.589676, -90.589583, -90.589491, -90.589398,\n",
       "       -90.589306, -90.589213, -90.58912 , -90.589028, -90.588935, -90.588843,\n",
       "       -90.58875 , -90.588657, -90.588565, -90.588472, -90.58838 , -90.588287,\n",
       "       -90.588194, -90.588102, -90.588009, -90.587917, -90.587824, -90.587731,\n",
       "       -90.587639, -90.587546, -90.587454, -90.587361, -90.587269, -90.587176,\n",
       "       -90.587083, -90.586991, -90.586898, -90.586806, -90.586713, -90.58662 ,\n",
       "       -90.586528, -90.586435, -90.586343, -90.58625 , -90.586157, -90.586065,\n",
       "       -90.585972, -90.58588 , -90.585787, -90.585694, -90.585602, -90.585509,\n",
       "       -90.585417, -90.585324, -90.585231, -90.585139, -90.585046, -90.584954,\n",
       "       -90.584861, -90.584769, -90.584676, -90.584583, -90.584491, -90.584398,\n",
       "       -90.584306, -90.584213, -90.58412 , -90.584028, -90.583935, -90.583843,\n",
       "       -90.58375 , -90.583657, -90.583565, -90.583472])</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-e0591127-94f0-46c3-8c92-aed6287ee749' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0591127-94f0-46c3-8c92-aed6287ee749' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c68ab252-88d2-4ef5-8c77-0657a8b3a3ba' class='xr-var-data-in' type='checkbox'><label for='data-c68ab252-88d2-4ef5-8c77-0657a8b3a3ba' 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;NAD83&quot;,DATUM[&quot;North_American_Datum_1983&quot;,SPHEROID[&quot;GRS 1980&quot;,6378137,298.257222101004,AUTHORITY[&quot;EPSG&quot;,&quot;7019&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6269&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;4269&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314140356</dd><dt><span>inverse_flattening :</span></dt><dd>298.257222101004</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>GRS 1980</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>NAD83</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;NAD83&quot;,DATUM[&quot;North_American_Datum_1983&quot;,SPHEROID[&quot;GRS 1980&quot;,6378137,298.257222101004,AUTHORITY[&quot;EPSG&quot;,&quot;7019&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6269&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;4269&quot;]]</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-ae72685a-6a1f-45de-95ce-a24009d2e2c7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ae72685a-6a1f-45de-95ce-a24009d2e2c7' class='xr-section-summary' >Data variables: <span>(2)</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>mukey</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.988e+05 1.988e+05 ... 1.987e+05</div><input id='attrs-815f6a35-9646-42a2-b4ca-4ad6777604fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-815f6a35-9646-42a2-b4ca-4ad6777604fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e395f70e-a010-42af-8561-748631d06d90' class='xr-var-data-in' type='checkbox'><label for='data-e395f70e-a010-42af-8561-748631d06d90' 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>name :</span></dt><dd>mukey</dd><dt><span>long_name :</span></dt><dd>mukey</dd><dt><span>_FillValue :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([[198754., 198754., 198754., ..., 198750., 198750., 198750.],\n",
       "       [198754., 198754., 198754., ..., 198750., 198750., 198750.],\n",
       "       [198754., 198754., 198754., ..., 198750., 198750., 198750.],\n",
       "       ...,\n",
       "       [198754., 198754., 198754., ..., 198724., 198724., 198724.],\n",
       "       [198754., 198754., 198754., ..., 198724., 198724., 198724.],\n",
       "       [198754., 198754., 198754., ..., 198724., 198724., 198724.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>elevation</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>173.7 172.0 171.1 ... 181.2 181.4</div><input id='attrs-a4e3583b-ed9b-4462-8bcd-a1265d052033' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4e3583b-ed9b-4462-8bcd-a1265d052033' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b776a1b8-bdee-41b0-b3ff-176f49fbf786' class='xr-var-data-in' type='checkbox'><label for='data-b776a1b8-bdee-41b0-b3ff-176f49fbf786' 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>LAYER_TYPE :</span></dt><dd>athematic</dd><dt><span>RepresentationType :</span></dt><dd>ATHEMATIC</dd><dt><span>STATISTICS_MAXIMUM :</span></dt><dd>284.1125793457</dd><dt><span>STATISTICS_MEAN :</span></dt><dd>213.62414075786</dd><dt><span>STATISTICS_MINIMUM :</span></dt><dd>83.762252807617</dd><dt><span>STATISTICS_STDDEV :</span></dt><dd>22.778435029777</dd><dt><span>STATISTICS_VALID_PERCENT :</span></dt><dd>100</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd><dt><span>long_name :</span></dt><dd>Layer_1</dd></dl></div><div class='xr-var-data'><pre>array([[173.67080688, 171.96047974, 171.08390808, ..., 172.10124207,\n",
       "        172.2388916 , 171.97241211],\n",
       "       [172.68327332, 171.44102478, 170.65075684, ..., 172.20561218,\n",
       "        172.33590698, 172.00927734],\n",
       "       [171.81083679, 170.66856384, 170.29721069, ..., 171.5133667 ,\n",
       "        171.62541199, 171.84867859],\n",
       "       ...,\n",
       "       [175.94241333, 176.07365417, 176.73553467, ..., 181.040802  ,\n",
       "        181.30989075, 181.42185974],\n",
       "       [176.61058044, 176.91845703, 177.03279114, ..., 181.06401062,\n",
       "        181.11106873, 181.30020142],\n",
       "       [176.23300171, 176.77012634, 177.17182922, ..., 180.96748352,\n",
       "        181.20977783, 181.39945984]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d8898f74-daba-4810-b358-f10ab9f893d3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d8898f74-daba-4810-b358-f10ab9f893d3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (y: 178, x: 178)\n",
       "Coordinates:\n",
       "  * y            (y) float64 41.5 41.5 41.5 41.5 ... 41.48 41.48 41.48 41.48\n",
       "  * x            (x) float64 -90.6 -90.6 -90.6 -90.6 ... -90.58 -90.58 -90.58\n",
       "    spatial_ref  int64 0\n",
       "Data variables:\n",
       "    mukey        (y, x) float64 1.988e+05 1.988e+05 ... 1.987e+05 1.987e+05\n",
       "    elevation    (y, x) float64 173.7 172.0 171.1 170.6 ... 181.0 181.2 181.4"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# merge the two together\n",
    "out_grid[\"elevation\"] = (elevation.dims, elevation.values, elevation.attrs, elevation.encoding)\n",
    "out_grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f2dd5398550>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "out_grid.mukey.plot.imshow()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f2dd5282ed0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "out_grid.elevation.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get the elevation statistics of each region using the mask"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "grouped_elevation = out_grid.drop(\"spatial_ref\").groupby(out_grid.mukey)\n",
    "grid_mean = grouped_elevation.mean().rename({\"elevation\": \"elevation_mean\"})\n",
    "grid_min = grouped_elevation.min().rename({\"elevation\": \"elevation_min\"})\n",
    "grid_max = grouped_elevation.max().rename({\"elevation\": \"elevation_max\"})\n",
    "grid_std = grouped_elevation.std().rename({\"elevation\": \"elevation_std\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>elevation_mean</th>\n",
       "      <th>elevation_min</th>\n",
       "      <th>elevation_max</th>\n",
       "      <th>elevation_std</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mukey</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>198692.0</th>\n",
       "      <td>173.130925</td>\n",
       "      <td>169.394562</td>\n",
       "      <td>188.442505</td>\n",
       "      <td>3.307044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198714.0</th>\n",
       "      <td>175.045866</td>\n",
       "      <td>170.214157</td>\n",
       "      <td>179.716675</td>\n",
       "      <td>2.150987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198724.0</th>\n",
       "      <td>179.931131</td>\n",
       "      <td>178.237244</td>\n",
       "      <td>181.490387</td>\n",
       "      <td>0.630699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198750.0</th>\n",
       "      <td>176.187118</td>\n",
       "      <td>167.951233</td>\n",
       "      <td>190.138763</td>\n",
       "      <td>3.815206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198754.0</th>\n",
       "      <td>171.633084</td>\n",
       "      <td>167.610321</td>\n",
       "      <td>181.611298</td>\n",
       "      <td>2.997591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271425.0</th>\n",
       "      <td>167.974433</td>\n",
       "      <td>167.951233</td>\n",
       "      <td>168.653015</td>\n",
       "      <td>0.079769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271431.0</th>\n",
       "      <td>176.718101</td>\n",
       "      <td>170.258133</td>\n",
       "      <td>180.460220</td>\n",
       "      <td>2.731732</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          elevation_mean  elevation_min  elevation_max  elevation_std\n",
       "mukey                                                                \n",
       "198692.0      173.130925     169.394562     188.442505       3.307044\n",
       "198714.0      175.045866     170.214157     179.716675       2.150987\n",
       "198724.0      179.931131     178.237244     181.490387       0.630699\n",
       "198750.0      176.187118     167.951233     190.138763       3.815206\n",
       "198754.0      171.633084     167.610321     181.611298       2.997591\n",
       "271425.0      167.974433     167.951233     168.653015       0.079769\n",
       "271431.0      176.718101     170.258133     180.460220       2.731732"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "zonal_stats = xarray.merge([grid_mean, grid_min, grid_max, grid_std]).to_dataframe()\n",
    "zonal_stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "ssurgo_data = ssurgo_data.merge(zonal_stats, on=\"mukey\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ssurgo_data.plot(column=\"elevation_mean\", legend=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Tfu1kYqyCuS0dMRI0MaGqdqlqt/l6OeAJEoa5Dag043sBNAL7I13QUUA5ypttiTFC/2hrVXQNFFw27Izf3Ck0/Wkh7w+dF7lyhuJ3RLTDBhSCoIkJRWSCaePBXBlzYSicEdmMjeMvA9eYRTcSJomhH8cPKEdpHRR8UmNrZtQ+jg+bx73IncdJFfUUSB4DQ146+/s51NNN//Aw1YWFVBYUUpKfj3GvK6rgdrko9Ljp12E2dxxmwBc6kL4ifOgvs3j9w33UuVfZ9rnSCbvS8kSZmPAa4HMiMgz0Adf5I1WMSUz4FeBJEfkWsJaRKVxIHAWUw/ToJMqwTwG93LpgXFmZJ5+TyusZGPSypbWN9d3Bc9F39PfT0R8+PlF9SQkFJW7e7wkdeH7IJzy8fQ7/dmL2KSA7N6NGk5hQVR8CHgpSd2xiwp1YyAcfiDMFy2FahsJmU4qKXk7kX94yVnA94mZB1UQWVkxmsBvW7DvIO83NDIUZvVihuaeHoX5fxBhGT+x0oyRnJS7Z2OWImC5kjqQOtvNeT7Ut/Sguvrz+LKaV1LCoagpFw/lsONDM+kOH4lY6YznU3c2JFeEVZ59PaPNlX+goVWFYXZaOTCFzJHWwnRdbSmzpp3n4DLa1NbCzuZPVBw7QPZjYbBvFeZH3kaw6Mi2hMqSKBBuhk46jgHKY5w8rSkHM7YelgZ/s+gQf+N08th9JTj72Yo+HHV2R7VY/2FKOkl3hS+30hE4XHCN0DjPgE7o5njLeiVw5ACWftzov4bOvNtCZgBjP4Ti5oZ6VbXsi1tvUIRz2Lsq6cK2ZpFys4IyAcpzNvdOjqt+js7nhtRv5+AsTkqZ8SjweZlVV09Q4iZWtkZWPn2W7TkigVMknCX5ASccZAeU4926t4dcL3Mi4tGyjUVys6vgIn3qpngEbYtK4RagqKqLAnUe+202+243H7cLtclHgduMTpds7yOH+o7T19XK0v9/wTInit/XIljzuPH4CeZo9gcvs8gNKFxwFlOO806Uc9J7JJPfrIev4pIpvbryKx96LLYhQRUEhk8rKyM9z43G7GWSY7V0tNA8fhWGIGBk2xt+cIuwbmM30/OxQQKownKsByUTELSJrReRZ8/1tZuAhDbIvZGzbchHZJyIPBZRdKyIbRGSTiNwXUH6TiLQEBD+6OeDcjSKyzTxujO6jOoTif3bPDHmuj+P52MvXxKR8ZlVV0zRlEv2eATb1HGJt535WHdnDuiMH6B4eikdky6xsm5CU6ySLbJuCRaNO7wACc6C8DlwIvG+h7TeBFf43IlIDfAdYoqpzgQkiEhhX4amA4EePmm2qMdzFz8Dwtvy6mS3VIU5+tR965aRx5fuHzuasZ85nbav12+TEmlrmT26gvrqYrf0trGrdS583caE/IvH0+8Upu7bdZKMNyNKdJSKNwGXAo/4yVV2rqrsttD0NaACeDyieCWxT1Rbz/V+AqyN0dRHwgqoeUdV24AXGR3RziAnht80Ljr1ThFfb/o5zfz8nKkPzwokT2dLbzNojBzjUdzQBckbPmjahh9mpFsM2VMXSkSlYfbQ9iJGGOaoweiLiAu4H7hxzajtwoohMNze+XQVMCTh/tTk9e1pE/OWTgb0BdYIGPBKRW/xBmFpaWsaedgjBt7d48EoDSjEPbvkkn365jmiMLwsmTGBtx358ycj1HCUvtmSPV3QU8YAygogKSEQuB5pVdU0M/d8KLFfVfYGF5gjmc8BTwGvAbji2DPMHYLqqnoIxyvl5NBdU1Uf8QZjq6upiEDk36fMJyw5dwA+3X8NDGwujartgwgTWdR5IS+UD8Pu9ZakWwRZUs88GZGUV7CzgChG5FCgEykXkcVW9wULbxcA5InIrUArki0i3qt6lqn/AUDaY4SK9AKqj4kM8ykhg7P0Y4QP8NGLmqXewh/u2eDiJqYD1keP8hvRWPgDrj2TODzI8gjfXVsFU9W5VbVTV6cB1wEsWlQ+qer2qTjXb3gk8pqp3AYhIvfm3CmOk5Dc2Twzo4gpGDN/PAR8WkSqzzYfNMgcbKSqxfoPPratnQ9fBtFY+AJUJzACSbHLVBjQOEbndDGTUCGwQEb8CafK/jsD3RORdjNW0e1V1q1l+u7k0vx64HbgJQFWPYKymvWUe3zDLHGykZdharq2KggIODHXijc4smBJOqU5/Ga2Q83vBVPUVzGmPqi4Flgapsxq4OUj5MoxcRP73QQMiqerdjI7GH3jup8BPo5HZITr29rdTUVBJ58BA2HrTaipY134wSVLFxydnBA+ClnGoYQeyAxH5KeC3755sli0AHsYwtQwDt6rqKhG5HiPaoQBHgc+p6vogfS7DCOnqf4rdpKrrwsmRXRNKh7gRgWlVlWHrnDppUsYon9oCZX7pa6kWwzZsXAVbhvXEhLuA81R1HsYsJFyGjS8F+PCtiySEsxXDYRxFhaGfSw0lpWw+mjlbG761sBPR9PBJihe10QitqitEZPq4SwRJTKiqfwuosxLD7GILzgjIYRzDEtpzuaqsgJ4kbaOIl+I8ZUntX1Mthq2oWjti5F8InZjQz2eAP4Xp4x7Th+8BEYkYbMpRQGnA1GJ4+9w1rD9vJZc0pFoaGNTgCmhR42Te7WxOsjSxc39TV1bthIeoVsFiyYwaKjEhACJyPoYC+kqI9ncDJwGnA9Vh6h3DmYKlmLNr4Acnv06h7gCFB046xN9P/iDv9xXzrc15eFPwjAimgKZVVLLmSMQ8c2lDbYHy4doXIgawzySM0Y3lFa5WVW2K8hI3Yuz5BCMx4bHVbBE5xXx/yRhfvQD51G8YHBCRnzF+B8Q4nBFQirlyUp+hfExc2sXZpc9wfd2TrD53DfWxR0yNmVLXaE/osvwChjxDDKm9AeYTydJFrbi0I9Vi2E6KEhNOxciY+okAd5lx+H34zCSGV0HkUJvOCChFFLiUyycKS6o2haxTwmaeaKpjyevTkyaXKhztGvGb8bhcTKouYXNn5uyrK85Tzqh4OatGP35sXIaPJjHh14Aa4AdmgtRh/+hqTGLC/xUR/ybCdcBnI8nhKKAk88ApvSyu2EWVbEbojVh/insFn5k+lZ/sTs5gdWHpNNbsGrHzzJtUz+q2zJl6AfzzSYO4tCvVYtiOIvjsWwWLJjHhzQTx7TPPBSYmvCBaOZwpWBL56klDXFb5NNWyxpLy8fOZKVsSKNUIBZLHnsPdx94vnDgx45QPwEcbt6VahIShFo9MwVFASUJQ/qEhtiXhWnmLGUmIqzWvcBotvYZiLMsvYGevfWmbk8X0UqXevTrVYiQGdfaCOcTILTMUj+6NXDEEH5mUWANwvaeMdftGtiycVF9D+2BfQq+ZCP676RASMch0BpNlQyBHASWJGxvjm0bNK+uxSZLgTNBaBryGkivKy2NDR2ZstQhkbqWyoOQvqRYjoTgjIIeoOb0KaiS+acGUQmu71GPhhKIJrD0w4rA3q7ompXGcY6EqX3nqrL8hhN9Em8ko4POJpSNTcBRQwlEePPk9JM5xcVVeghSQwkDX6NugMD+zUhoXuJQXlqynZFTOhCxEARVrR4bgKKAEc+/J/dTJqrj7cUtibECnlk5nZ3v7qLIjQ5lj+xGU5y/cTo0rSw3PY0jwXrCk4/gBJZAil3Jlzau2GAVdCTCslrgL2H5w/Miqd3jQ9mslit+ef4CpnldTLUbyyCDlYgVnBJRA/m32AG61Z/OmKwEjoNmeRtr7+8eV92bIbvefndXG/OJwG7OzDWsG6EwyQjsjoATyoRr7HAhdEXK3R8uk/ErW7Au+U7x7KL1HQILy2w8eZH7J8lSLknyybATkKKAE0VAA5YTe5xUteXRHrmQVhZKBMoZ9reNOuUQY8g3HnI890dQXKr8+dyuNnuyJcmgZBc2gFS4rOAooQdw0fchWhzi3tmI8/uK/AZtKZvLm7uB+Pj5VagtLaB1IrN9RtBS4lC+dPMBNU5/DrZmzMdZ+HAXkYIFzquz9kQhDTCt28X5vfGPwGUW1rNkTPkj7xOKypCsgQTmzDuZXD1Nb6KU6f4hKzxDlnkEmF7XR4N6I0J11U5CoybLPb1kBiYgbWA3sV9XLReQ2jBCOxwF1qjp+PD/Sthx4F/idqt5mll0LfBVwA8+q6lfM8i9i7LwdxsiQ92lVfd885wU2mt3uUdUrovisSaUu3/59VCeWKe9b38MalBqtYLsvvHIpEk98FwmKcvFkZXFdPz4Ver0uppf2c2JpGxMKDlLMboTMWf5PGbmqgDAipW1mJGj168CzWMtO+k1ghf+NiNQA3wFOU9UWEfm5iCxR1ReBtUCTqvaKyOcwIvNfazbtMyP2pz2l0mL7zXJciRdDX8fO4HDkHFnbWttwucS2hIOn1yo/PWMlpTbaxHISvyNiFmFpGV5EGoHLCAjRqKprVXW3hbanAQ3A8wHFM4Ftqscm838Brjb7fVlV/c95WyPwJ4PFA3Vce7iIPLU/jMXUoviXxz15kf/LOwcGOL260RYFevFkH0+e+WtH+dhEtjkiWvUDehD4MkSXBlNEXMD9jI8Nux04UUSmm9HXrgKmBOlibAT+QjPA9koRuSrENW/xB+JuaUmusfJ0bx0Hb/oLq+54g2FvsI8THxMLx/vsRIvPbW05/639BzijZio1BbHHAZlUpCxd+HxWhkZNGT6xdkRARH4qIs0i8k5A2QLzt7XO/A0tMstFRJaKyHYz48WpIfo8TUQ2mvWWmqFZwxJRAYmIP3vimoifajy3AstVdV9goaq2Y0Tgfwp4DdgNox1dROQGoAljquZnmhkK8h+AB0XkuLEXVNVHVLVJVZvq6upiENka560r4ry1I7GTF0odbZ96CVEAYaC/zPZrVubFv9Gyy2fdiPTW/v10dAwwp6SBRTVTolZGPzjjIJ7R//UOcSJq7bDAMqwnJrwEON48bgF+GKLPH2KEdfXXHdv/OKzYgM4CrhCRSzFStpaLyOOqeoOFtouBc0TkVqAUyBeRblW9S1X/APwBjFELAQpIRC7EMFCfp6rHfnWqxrxGVXeKyCvAQmAkonuSmFZQwZ57DZPWuV84HSl0s+e+F8Fn/M+LKMUl9k/B7Mhwvq//CHmuAoZ91npT4L1WY31BgDm1DRQV5rG27UBYG9GkIuWUkhzaIpEMbIz1E01iQuBK4DFVVWCliFSKyMSALBj+gPTlqrrSfP8YxswmrKt6RAUUmKtdRD4I3GlR+aCq1wcIeBOGcfku8329qjaLSBXGSOljZvlC4EfAxaoj+xjMer2qOiAitRiK8dukgKn78/A/1/c+8Na484svrcTFBtuva4eL/YAOM6+hkXUHo8+XHqiM6kvKqC4rDJkn7K55RxHSy5co80n4Tvd/AZ4Tke9izI4+YJZPBgKj6e0zywKdySab5WPrhCXmvWAicrsZTb8R2CAij5rlTf7XEfieiLyLsZp2b0C6j+9gjJZ+Zc5FnzHLZwOrRWQ98LLZ5t1Y5Y8H95HwWxXOvzoRy9jgs2nrXpu7A48rvtW05p4e9rUdDTktO682y0NjpArrERFtT0yYCKJyRFTVVzCX3VV1KbA0SJ3VBImgr6rLMOad/vdBo/Kr6oUhyv8GzItG3kSheeGfQnOaEhO7Z9imp9+BwQ5OnzqTlSG8oa3SPTTIaaUTaRsYbVeaW6mUjdg2HezE+jzczsSE+xm9SNRolgWyn9Er1sHqjMPZDR8L7vCKoKIqMemLmweKbOvr7d7dTK+sjLsfd5Bb6O+m9ccdgM0hCIkPSBY0MSHwDPBJczXsTKAz0P4Dx7KidonImebq1yeB30e6oLMVIxbaw0/B3O7EjIB29ebb1pcXH57yYaQjPrtmr3f8dzG5OHvDoqYaiytckfuJLjHhcuBSDPeZXuBTAf2sC3AOvhVjllOEYXyOGCvFUUAxcPTV0EvLeR5wkRgFtLXb3v+unf0tLJp6HG/uORC5chDqikt4p2O8MbsmP35/JYcQ2LcKFk1iQgU+H6KfBQGvVwMnRyOHMwWLklOlnvY3QiugycfZN00ay7oO+/t8Z2APE0pKY2o7vboi6FL8zu7Y+stk3upZnGoRMhJHAUWJ52c7w56fPMu+aVIgPczmQAIGFv06REN9QdTtTps0iTdbg+c5e/FgErIophFv93yAL24c5xObEGx0REwLnClYFMx319H85/Vh60yckZgl+Nc65ySkX4CtfYcA63LPratnTfu+kKFpXj4kKEU5sbt9e/9cblk/z/aIlUFRLG2zyCScEVAUFP8icmbThkb7v1KfVPCNzYkbVbijCHI1u7aWHf0tYb2gh3xCtyZnRJBKhnx5fHHzEjoHk2h0dzKj5ibz8mo59NvIMZ6r6+3YMDGaN7vPo3UwcU++fJe1gfBJtbVs7W2ldzhypMfdfRkVxCAmfnzoJjZ3diX1mtk2BXMUkAXm5dXi/cL4LRfByC+MXCcafFLJ3Zsq7e10DB6J7BWd73bT4etjSK1NNdYcqYlXrLRmW9/JPLQ9Bb90ZwSUW5y3pZTua16kb6+1J53Lbe///q9bP5wQ43MgHcN9EbdmLJg4gQN91p/2v9xdiGaxifGeXRcy5EuC3WcsjgLKLYZ3RDfEjhwBxTrdzOWrm6JfoYqWYfVy6pSGsHX290fn27S5U9g39IHIFTOQ7f1zeb25I+nXtTr9cqZgWYRrcXQxhQ7tsS+v+i8OzSdZWRAGXaG9uxvLytnbHb1z5X9tmhWPSGnLqx2np+7iNgUkSxccBRSBrQ0DUW2tefdNe5L6+aSc72+3T5lFYmd/C+4Qw7dJFWUx6cE/7XfR7gsaPC+j2dVnf7A5qzgjoByjebCbognWPXvXvGRPAsEhahmw+CS7eZYLV5wjpW5vP1NDbE49MhR7Ko4f7UyLAAa2Up/KrSaODSi3+EBPHf0HrSuVjtZhvBrenmKFAS2xVO/aacUsqX2EU2sq4r5mMBVWW1TM1s6QGZci8qMteQxJdi3JV3pSpIAcG1BucarUceAfX4y6XU93/Aqo3xfZ8XB2RQWXN/wIgCnF8Wdh7ewf/8OaVlUZpxlK2D+QXbagQ/0p3OvmjIBygxPzqzn6jyuOxXmOhpaD8Y9Gil1Hw5/P8/D5WcvJcxleuHWF8Yc/HQoSJ9plw7Le9p7quPtIJw4NJGa/nxXEZ+3IFBwFFISKvEI8d65luCs2g/LOd+NfOi9hM9PCDIL++YRWajwjYU9rbcjEOqWifFyZHespBa4M+kVYIIMGGGmPo4CCsGC10LOzI+b2v/1BN0p8LtGC8n+ODz6quWxyOQvKfzWqrDo/tpg+gZQWjXcc7LOw7SISxe74+0gnXKlc5XamYNlNiTufPd9+M64+drzTx59/dXbcslxUsZwPjNnRML20jI9N/vG4upV54cOEWOF9b8s4j+j3Wlooy4tvylHliTOhfZqRsnCzjhE6+zmO8pjsPmN58I5munvmxtWH0MePT36RRVUjZZ+f9Sb5QexDxa5mivPiCwXSMniUhY2jDehDPh8nVdTH1e+EAvtzpKWSCCHBE4tNI6AQmVGfMjPRrBOR3SKyziy/PqB8nYj4RGRBkD7/XUT2B9S7NJIclhWQiLhFZK2IPGu+v81Mwapmnq5wbctFZJ+IPBRQdq2Z5nWTiNwXUF5gfhHbReTNwORpInK3Wb5FRC6yKrtVClx5FD66y6behMHB+G1BHt3PY6f8kY9MhPMnVNJY+LfgVxOYVBx/NMbNg3uZVT3aaNw/EPuep9oCpYj4R2fpREqf2vZNwZYxJnOpql6rqgvMMKu/Bn5jlv9vQPkngF2qui5Evw/466rq8khCRPNd3gEEJnt6HbgQeN9C228CK/xvRKQGI//XElWdC0wQkSXm6c8A7ao6C3gAuM9sMwe4DpiL8cX9QMTCNu4oOPNtDy3P2fNjEVEqKu158ru0jfuPf4wHZ/8VF6GnQxOL4v9p9PoGaSloG5UxY3NrC1X5sSm3L8ztQxiKW650QlI0xxHsWwVT1RXAkaDXMbJafAx4IsjpjwNPxv4pRmPpjhWRRuAyRvIEoaprVXW3hbanAQ3A8wHFM4Ftqtpivv8LcLX5+krg5+brp4El5hdyJfCkqg6o6i6MCP2LrMgfimpPEdMKKjj7aB0f+M0ge+5dGU93o7jiH2txS/TZR8NR5H2becUnkSfBnRQbCu3ZBtLt7edocQd1xcYynE+V48vDDnJDcknDe7bIlE6kbAYWnQ0olsSEfs4BDqvqtiDnriW4YvJzmzmz+amZzTgsVuMlPAh8GYhqE4yIuID7gRswRkt+tgMnmtOrfRg5pP2P9mNpYFV1WEQ6gRqzPFBDBE39an7RtwBMnTo1pGx5hwcpv2Ylohayp8XARz6VGG/ZvOH3mFc4g80DzfT72kedqy/oxq4JQsdwH6c01NGyyzAgd/dGr9xmVyiVrnW2yJNOvN+bvD1647A++IolMaGfjxNEyYjIGRjp0UNlnfwhxmxHzb/3A58Od6GId6uIXA40q+qaSHWDcCuwXFVHpZFQ1XaMNLBPAa8Bu8GeoLqq+oiqNqlqU11d6J3s4tOErRaUlLtpnGZ/bng/Lu8u5uSXk+8a7bdTkx/7lolgbO87dGyD6nttrdQXWtse4ucLczqQKFJ5ZgLNQ5NZ3ZaYtEuWSPAyvJkT7O8wfptjuY4wox9VPayqXlX1AT/GwgzFyuPyLOAKEdmNMfe7QEQet9AOYDHGkGw38F2M7Ir3msL+QVXPUNXFwBbAnxv+WBpY88uoANqwlh42Lbj+y9UI9mxKDYX4DnJ84ehA9dUee7+OXt8gjeUjSm5qScQR9ShOr8ou4zPAL1suwaupW+dOwjL8hcB7YwcN5mzmY4Sx/4jIxIC3HwUi5ueOqIBU9W5VbVTV6Rga8CVVvSFSO7Pt9ao61Wx7J/CYqt5lCltv/q3CGCn57UvPYOSoBrjGvJ6a5deZq2QzgOOBVVbkSDbnfzSobc92Coffpi5/9rH3VZ5tttsnXK6RWyRUuI5gCEqFbI1cMYM46q1g2e4UTr/AzmX4J4A3MEwh+0TkM+apUKOcc4G9qjrqqSIij4qIf6r3bRHZKCIbgPOBL0SSI+aYmSJyO4ZdaAKwQUSWq+rNpjCfVdWbI3TxPRGZb77+hqr679afAP9PRLZjWOmvA1DVTSLyS+BdYBj4vKrFAMVJZNLMAqqq3k7a9RrdQ/gt+QWuLk4or2BLl31TBG/A/jBfFE/+ynwQ4t+flk78/PDfJzcDxljUvn1eoTKjqupNIcpfAc4MUn5zwOtPRCtHVArIFOIV8/VSYGmQOquBccpHVZdh+B7434f6AvqBvw9x7h7gnmhkTjaX3lSOkLytBy7vHiYUzOPQwEYA5lUNscWmRA2q0DUw8oPzqvW7v284c6LyWaFruIqf7XJDEv9vg5JBXs5WcDyhbebEBckflFW7R8JDzCq1zw7UWFhJR0CIjq4h60//fp+iYXyWMo2XOpdE9fkThbMVwyEsk2eED6ORCAp0xN+o1hM6b320THCP9ohu7ovGsC4cHE5h7GSb2dwT33YU23A2ozqEo6LqYNKv6fLuo8htOApWe7bb1m93z8h0oyy/gK7h6EYAv9yTPdlRd/WkwWjOqvJxFFBukucBtyv+sBixUOuZAUCRu41yT/x70Ipd+WxtG4kx1FASnQ8QwMNbPPgkO4KRpTQEh4ngTMEcwjBhWmHKQjWUBaRXnlwcf3rWWUUNDAesgJUVRq/UBnzCpp64dsukDUU2J5yMFUcBOYRkwvT4wmHEQx4jWyUmFdvwuB4YvUDqccd2qzy8bVL8sqQBiypbIldKBs4UzCEU005KnZ3ArSMG4gmF8e1Dq/IUs/FQ86iylsHYfHqW73PRT+bbgi6ueoE8SYOfi6OAHEJx7W3xx2WOFQnYmFpX0BFXX8d5JoyaftUVl7CjK/bP9sv94/zXMo6qvBbOqR8fMzupWJx+OVOwHEPyhOvvnU5F+frUyaAdx2IF1ebHHgbEhbDj8GhP6ulxpub593WFDMjM2DtIEy5v2JtqEZwRkMNo6i6aSekTS1j4sdQ7qeW5DONztWdXzH2cXDKF1r7RMZx7ffF9NkX4xd7FcfWRDiypeJ5Cd8y7l2zBScvjcIxJN53Cmk+Xs8HbwoSC9sgNEohKGYM+Yw9Ged6umH8ofd2jH5/FHg+bO+M3wH53UyE+qYi7n1RS4j7KhROid0ewE2cK5gCAp6KALR8pORaaocJlb/TDaPG5Rjx13eJldkX02TunFFTzXsvomEIn1NQwHMUesFD0DgtbejPfFnR5fbAggUnCcUR08KOqtA4ZUxU3Pjya2tBEwzLaQDqnIvqVsHrGx/sRG2ccP9mR+Uvy55Y9z4zSqAKD2oujgBwA1Kvkmzm0Fla5Uh54fYDRcWqOK7GSK2A0zUdH237qikvY1GHfyO537wsqKfzx2oDHNcwdx6XGGO14QjscY9K3zmLQZ+x8n1+Reqtf5/Dolauphaujap8nbvZ1jY7jMbmqjH6vfeEnvLjo0SmRK6Y555a/nLLA9OJTS0em4CigGJh6/3msmDhidJ5YmOq4aB5ah0bbJkryDjKlxLodaEpB9Sjfn7l19bzdZv+0sn0odJzuTKHM3ckJ5SnwCbLRBhRlYsLpItIXcO7hEH1Wi8gLIrLN/Bsxhq+jgKJAgSnfv4BXJ3eMKq/JT+30y+ueiU/HZ62YW2H9v7fKPbK643G5aNeehOSfOdCf2SthfqaXpOanY+MUbBkWExOa7AhIOPjZEH3eBbyoqscDL5rvw+IoIIsoMOXhC1hRN94juNpjTz6uWOkNYVc5vsxalgwXQmfXyFRr4aSJ7OuxKaziGHYcTe0ytl3UFqQoMqJNI6A4EhOG40pGcvr9HCPdVlgcBWQBBSb/eAmvVQbfjlCRl1onxI7h4DGgpxVtsdR+YeHMY6E36ktKWNueuBW9bm+Kg7rbRHleaka9STJCB0tMOMNMzf6qiJwTol2DqvoDYh3CSEgaFkcBWWDa/efxepjRRFleXxKlGUveOPuPn7r8iFlRmFfcyKo9IzGMJlSWMuBLnE3rpLLsCFR/dDhFHtHWR0DxZEYdm5jwIDBVVRcCXwR+ISJhjWBmJpuIqjC1fuUZwNQvLRpn8xlLvqTOBuR1z8Q3GFzR5Lt6aCwuZV9v8FCqE/Ir2H5gJIRsfXEJ69oOJMT242dqcUfiOk8iHUMp+OloVNssYsqMGpCY8LRjl1UdAAbM12tEZAdwAjB2qfWwiExU1YNmjrBmImB5BCQibnMI9qz5/jYR2S4iKiJhE4eLSLmZe+ihgLKP+3MIicif/X3Ea4m3k4kfn8vrTVaUS+qWPfvCP4iYXhrih6JQ2FtK9+CI/WpqVUVClQ9AbX7EezIjaB9M/kJ8kvyAxiUmFJE6EXGbr2di5OQLlnUyMKffjcDvI10sminYHcDmgPevm8Ja8Xj7JrDC/8bUst8DzlfVU4ANwG1giyXeFmrOncqGq4stbUNIZbTO9uHwxuKivOB344LSaew4MtoG6Yoi8WCsFEtqQtbaSedwNWuOJDbzbUhUrR0RiDIx4bkYuf/WAU9j5P07YvYTmJjwXuBDIrINQzfcG0kOS+NIEWkELsPIyfVFAFVda56L1PY0DGPUnwG/oGIeJSLSBpQD28e081viL7Aio52Uza1j779MoXvQ6k2WqhFQHq1DobOPqsKGI+NHcC6Eg63j7VbeBOdxbyxWXNoeuWKa87sjl9vqoBkNdnk5R5OYUFV/jTEYCFY/MDFhG7AkGjmsjoAexMiCGtUdauaTvh8jLfMxVHUI+BywETgAzMHIiBpITJZ4EbnFb3hraYl+F3fVGZM5/M0TOGxZ+UASBg5BCeX/42dv/9kc7u8dV76gZBoHjo5PHySa2A+yuD5zPHRDoQpP7E2RL1MWbkaNOAISkcuBZtP49MEo+78VWK6q+wJHSiLiwVBACzHmkt8H7ga+FdA2lCW+zRxV/U5E5qrqqDmIqj4CPALQ1NQU1X9FQUMJzV+ZyeHBaH1gUvM/Hmj/aR+axXs9H2DH0VoGfMKgT3irtZuxmTzzxMX7zcGV6+4jHcZHSZAeml8VX6jYdGBV93nsCKK8k0UmxfqxgpUp2FnAFSJyKVAIlIvI46p6g4W2i4FzRORWoBTIF5FuzOGcqu4AMHO+H/OajNMSHxsuoeChxbw3GP2oKVWZMDpM+8+hgdP40rrTTHtVeOU5v3gaqw4fCnquta+XmXXV7OwO6p8WNzNKM38J/sf7FgIdKbt+timgiFMwVb1bVRtVdTqGgeoli8oHVb1eVaeabe8EHlPVu4D9wBwR8W8M+hCjDdzxWOJjovH757PeG1vgrdQooDzaTP+fDV2LLBnL81157DgU3GnRT31h9HGErFKal1qP8Xh58+h5vHq4I3UCKLYZodOFmB0RReR2EdkHNGJYyB81y5v8r0OhqgeA/wBWiMgGYAHwnwFVorLEx8uU25t4rSZ1AeVjoT/vFIbV8MB2W3wsnlI0lba+8E6T7T2JmyYVuzNbAX1v98JUi5B14Tii8qZS1VeAV8zXS4GlQeqsBm4OUr4MYwOc//3DQFBfnmgt8bGg5lNiyj+fxlvnKMTh/OuW5O6GV6lmR//I6pfLwvWLXfm8dyDyCtS2I21UVRTRPmi/d/egL3P9Xg8PNfJWW0eqxcgoA7MVMveOiJOhiQW0Pr2IXcMDcSkfgCLpTNqNoVLNdq+Hfl9wO04o5hZOYeWANR+cxuLyhCig1oEiKLK926SwovPsVItwzBExm8hZBSQiHB22ZxNpPonPmqm46GE2WwcK8OoqBn3VDGgl/b4y3umoJJxhtMRdwDv7re2MByhyJybBYtdw6jLHxsuhwTJIcdRLNLOCjVkhZxWQXVR4QDT6ZdkD3rN4bP8M1na42NBh2HAK3UKR2/hb6BKK8pRCFxS4YE8f7Dnm0nPymN46wl6rsaCKd4fCG5+TQWleikJY2MDRYQ8pV0DgTMEcRjMnysB4Sj7PtF/JlzYWMuJwY6wF9HiNw18zVRzqT4yfy3CCHR0TSVcqNp8GwZmCOYzi+FLrjhlDMoU73zufPyU5g0/H0Hhv6FDMrq1lU09iBNzVXUyQxBsZQedQGkSuUcCZgjkEMqPY2rTCKzVcteYCtnUn/wZqHjpKnqt4VMznYBTm5dEriVsq39LpgQyNSd+ZBrMvIOumYGmg1jObxsLIfjOKm3t2XZoS5WNcX2koiRwK9aSGGnZ1J26zqCdD77YBXwHvdqaHF3e2+QFl6C2RPtTnR57evNJ1BY/vSa39o74svAJa1DiZt48kNlTGjLJ0GUZEx587LqdnOD1kz7a0PM4ULE6qPeENts2+M/indYnb3mCV/ILQCnBefQNvtu5JeGCjxTXWXQHShd0DJ/L1d6tJmxWwzNEtlnAUUJyUujtC3hS9chJXrTqB1IYsM2j3Bd8B31hezva+FpKxQHVc8e7EX8Rmlredkz6jH0AyaJ+XFZwpWJwUEnwP2aBM54q3FtGagtCdwdjd10qBe3RGilJPPj6PNyk/MDc+itiR8OvYzZrO1I9eR+GzeEQgysSEHxKRNWYI5TUiEjRIoIj8u4jsD+jj0khyOCOgOHDjw6XjFdCwTOC6teexpzd9nlZefBxfXcV7LcY0SIBpdRVsbI9uS0esLKgRJB2mMVHgVRdvH7HuwpAMbBwBLQMeAh7zF6jqtceuI3I/4PdebQU+oqoHRORk4Dlgcoh+H1DV71oVwlFAcXBCmRsZs5FMpYyb3/kw73Slj/LxU140shXi9MbJrGzbk7RrN9Vmnhd0u7eB7qE02sFvow1IVVeIyPRg58aGQ/aHXzbZBBSJSIEZoysunClYHMwqHX83/KL5Mv6WppE9xPzfPn3yZFa2Jk/5AMytSGXutNiozTvI5OJ0yuRqbQXMhlWwYOGQ/VwNvB1G+dxmZrr5qZMbPsG4x5h3DvsW8x+b03fDZZuvi7mT6njzSOJXvMbSVL0vcqU05IyaNMvkaj0gmZ2JCQEQkbnAfcA/hWj3Q+A4jPheBzHiwYfFmYLFwVDAg8YnVdy49gTSeZ30qK+fre2Jyfkejqp8ZYL77aRf1w4WVx7gN3vTxBCdosSEZnkj8Fvgk/5QyuPEUz0cUP/HwLORrueMgOKgPcA88OjBS9jZk77KB+DocGqCwv/TiQMImRmQ/uLKP1JXmEZBjBIfkjVYOORK4I/AXar6eqiGZjZUPx8FIuYGdxRQHPytDQ77zuTtvkv57tb0H0wO+IZpKE7+0/zMmsQEuU8Ghe4+bpmRHtswANvS8kSZmPA2YBbwtYAl9nqzn8DEhN/2ZzsGzge+EEmO9P/VpDnn/PWEVIsQFQ0lJRwOkSs+UUwrPpjU69nNdbW/4kcFN9E6kHpDukTYUGyVKBMTfovRKbMCzwUmJvxEtHI4I6AcoyQ/2c8cpdyVeQ6IgRS6+5hdUZBqMcxwHBaPDMEZAeUY3b7kPsWvmebDpck3fNtNTX7q7XuC5u5WDBFxm2mRnzXf3yYi20VERaQ2Qttyc575UEDZx/3zRRH5s7+PcO7cInK3ec0tInJR9B/XYU/fkSSuwCv/OjczV7/GUpOfJl7cOZwX7A5GJw98HcNi/r6Ftt8EVvjfmEt93wPOV9VTgA0Yhi4/D6jqAvNYbraZg2EgmwtcDPzAn6jQwTq93kGmllcm5Vq3zR6iQtYn5VqJpjo/TVbxclEBmT4AlwHHEg6q6lpV3W2h7WlAA/B8YLF5lJhu3+VApGA0VwJPquqAqu4CtgOLrMjvMJr6kuKEX8ONj8/PDLlim3GUutNAAWWhDcjqCOhB4MtE+dFExIXhDXlnYLmqDgGfAzZiKJ45wE8CqgRz554M7A2os48gG+JE5Ba/92dLS+LT5WQiLlfin5DfbuqhMAN3v4did19lqkUAjFUwK0emEFEBicjlQLOqromh/1uB5YFOTWafHgwFtBCYhDEFu9s8HbU7dyCq+oiqNqlqU11dXeQGOUjrUGKyXvhZMtHHRxt+n9BrJJPt/XN5em86bKa1OP3KoCmYlVWws4ArTGNwIVAuIo+r6g0W2i4GzhGRW4FSIF9EujFTLPtdukXkl8BdZlkod+79jA5p3miWOUTJnt4jFOWV0JeAOEAVHuV/TnsJ0TSYssTJu30L+c8d5/FmaweQBrvilYxSLlaIOAJS1btVtVFVp2MYgV+yqHxQ1etVdarZ9k7gMVW9C0NxzBER/xDlQ5gG7jDu3M8A14lIgYjMAI4HVlmRw2EMAlPLKhLS9W8+uJOCyKbBtOeFjsu5etVCU/mkETlqAxqHiNwuIvswRiIbRORRs7zJ/zoUqnoA+A9ghem2vQD4T/N0UHduVd0E/BJ4F/gz8HlVjTOre+7icdvvg/r9MzqZmf+y7f0mm429p/PFjRMY1vT7JYuqpSNTiMoRUVVfAV4xXy8Flgapsxq4OUj5MowobP73DwMPB6kX0p1bVe8B7olGZofglOTbGzbkP0/t4fLaX9naZyo4MDidf9rQRL839dsugpJBysUKjid0jqJRxHWIxN2n9HPdxKds6y9VHPVW8I/vXEFLf5p6bquCN/1GZfHgKKAcpcsbf6xjQfnhmZ18uOZ3SCYZHoIw5Mvj9i2fYmtXR6pFCY8zAnLIBvb3deAWF94Yb+jTa5VHFq2h0kickNGowjff/yx/be5ItSiRcRSQQzbQ7xtiZuVEtrVHF8B6eqnyQNMh5pe8hJCmdpIo+X8tn+CJ95MboiQmFMigrKdWcBRQDlNTXMg2i6ngJxQpDy06zKmlL2aN4gE4MlTPf28tJC0yn0ZEIQ1X5uLBUUA5TK/PmrPgxZN9LF34PJ7RDu1ZwQ8PXEPPcHrl/gqJknVGaCcgWQ5zaKAzYp17FvbwgwW/yErls39gBv/7ftyprZKLTVsxosmMap6LGApHRGaIyJtmvadEJD+SHI4CymGODof/8T15bjP/MOmJjA0oH4nv7/sIQ74M82W1by/YMoywNgFd67X+MDgY26V+A1GFwrkPI5TOLKAd+EyQOqNwFFAOM6xejquoDnruPxb0ckbZM0mWKHn4FF44lGGjHxs3o6rqCiBotoCAzKj+4PQRQ+GYbS4AnjaLfg5cFUkORwHlOHWl41POfHSal09MfjpI7exhR/88uoYyTAEp4PNZO+JLTDg2M6qVUDg1QIeqDoepMw7HCJ3jjI0RPbtC+c68ZxFNg93fCWRtz9xUixAb1v2AYkpMaBI0M2oicBRQjrOjp4VCdwH93mHKPcqvzv4bbs3+QG5HhwtTLUIMJH4rRojMqFZC4bQBlSKSZ46CLIXLyVkF5BKhqiDxoUkzgRklE9jW3sZT5+ymRA4BVRHbZDoTC4epLiizrb+K/CRkT1XQxPsBjcuMihEK5xci8t8YAQTHhcJRVRWRl4FrgCeBG4GIUelyVgFNK63mrSu/mGoxHFLE5Q1w+UmpliIGbPKENjOjfhDDVrQP+Lqq/oQgmVFVdZMZNPBdYJiAUDgishy42Qyx8xXgSRH5FrCW0WGWg5KzCsjBISOxaS9YNJlRzfKgoXBU9dKA1zuJMlGEo4AcHDIFVf8KV9bgKCAHh0zC2Q3v4OCQGhT1ZpjndgQcBeTgkCk44TgcHBxSihOOw8HBIRUooM4IyMHBISWoE5DMwcEhhWSbEVo0y5b1AhGRFuD9EKdrgdYkimMHjszJIREyT1PVusjVQiMif8aQzQqtqnpx5GqpJasVUDhEZHUcu4VTgiNzcshEmTMVJx6Qg4NDynAUkIODQ8rIZQX0SKoFiAFH5uSQiTJnJDlrA3JwcEg9uTwCcnBwSDFZoYBEZL6IvCEiG0XkDyJSHnDOSj4jEZF7RGSriGwWkdsDypea7TeIyKkBbW4UkW3mcWOS5V0mIrsCcjgtMMurROS3pqyrROTkgDa7zeutE5HV0cibQpkvNvvcLiJ3pZHMFWZ/60Vkk4h8KqCNN6B+9qYVsQtVzfgDeAs4z3z9aeCb5us5wHqgAJgB7ADcQdp/CngMcJnv682/lwJ/AgQ4E3jTLK8Gdpp/q8zXVUmUdxlwTZDy72BEtgM4CXgx4NxuoDaF33FUMgNus6+ZQL55jTlpIvP/Be4zX9dhpLfJN993p/r3kElHVoyAgBOAFebrF4CrzdcR8xmZfA74hpoBd1W1OaD9Y2qwEiPo9kTgIuAFVT2iqu3mNaNx+opX3lDMAV4yP8N7wHQRaYiifTiSLfMiYLuq7lTVQYw4w1emicwKlJm5sEoxFNBw+CYOwcgWBbSJkZvz7xmJ4G8lnxHAccC1Zv6kP4nI8RHaW+03UfIC3GNOWx4QkQKzbD1GRgNEZBEwDSM7ARg/mudFZI1ElyMqVTLH+x0nUuaHgNnAAWAjcIeORIsvNO+jlSJyVZTy5hwZo4BE5C8i8k6Q40qM4fWtIrIGKAOiTWpVAPSr4f36Y+CnaS7v3RjTldMxpoFfMcvvxRilrQP+GSMwuH/z0NmqeipwCfB5ETk3A2SOSIpkvghYh5EhYgHwUIB9aZp5H/0D8KCIHBflNXOKjNmMqqoXRqjyYQAROQG4zCyzks8IjCfgb8zXvwV+FqH9foyMAoHlryRLXlU9aL4cEJGfAXea5V0Y9ix/qtxdGPYpVHW/+bdZRH6LMeVYMabfdJK5yGK/SZfZlPdeNYw+20VkF4aiWhXwPe8UkVeAhRg2JocgZMwIKBwiUm/+dQH/CjxsnnoGuE5ECkRkBkHyGZn8DjjffH0esDWg/SfF4Eyg07wpnwM+bK7gVGHc5M8lS17TDuX/wV4FvGO+rxSRfLPazcAKVe0SkRIRKTPrlJjyvmNV3lTIjGFAPl5EZpjnrzOvlXKZgT3AEvNcA3AisNO8HwrM8lrgLIxUNg6hSLUV3I4DuANDaWzFGNJLwLmvYjyBtgCXBJQvByaZryuBP2LM598A5pvlAvyP2X4j0BTQ/tMYxsvtwKeSLO9LpjzvAI8DpWb5YrPPLRgjuiqzfCaGrWU9hl3kqyn4jqOS2Tx3qXluR5rJPAl4PuDcDWb5B8yy9ebfz6T6t5Huh+MJ7eDgkDKyYgrm4OCQmTgKyMHBIWU4CsjBwSFlOArIwcEhZTgKyMHBIWU4CsjBwSFlOArIwcEhZTgKyMHBIWX8f1w3dacQmFJYAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ssurgo_data.plot(column=\"elevation_max\", legend=True)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}