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   "source": [
    "# Import necessary packages\n",
    "import os\n",
    "import pathlib\n",
    "import pandas as pd # Aggregating, data manipulation\n",
    "import re # Parsing information out of file names\n",
    "import rioxarray as rxr # Work with raster data\n",
    "from rioxarray.merge import merge_arrays # Merge rasters\n",
    "import geopandas as gpd # Work with vector data\n",
    "import hvplot.pandas\n",
    "import xrspatial\n",
    "from math import floor, ceil\n",
    "import matplotlib.pyplot as plt\n",
    "import glob\n",
    "import warnings\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# A Note on the Data\n",
    "A [National Grassland unit](https://data.fs.usda.gov/geodata/edw/edw_resources/shp/S_USA.NationalGrassland.zip) designated by the Secretary of Agriculture and permanently held by the Department of Agriculture under Title III of the Bankhead-Jones Farm Tenant Act.\n",
    "\n",
    "This data is intended for read-only use. These data were prepared to describe Forest Service administrative area boundaries. The purpose of the data is to provide display, identification, and analysis tools for determining current boundary information for Forest Service managers, GIS Specialists, and others."
   ]
  },
  {
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   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Project directory created at: /Users/erinzimmerman/earth-analytics/data/habitat_suitability/strm\n"
     ]
    }
   ],
   "source": [
    "# Set up a project data directory\n",
    "\n",
    "# Step 1: Get the home folder path\n",
    "home_folder = os.path.expanduser(\"~\")\n",
    "\n",
    "# Step 2: Define the project directory within the home folder\n",
    "project_dir = os.path.join(\n",
    "    pathlib.Path.home(),\n",
    "    'earth-analytics',\n",
    "    'data',\n",
    "    'habitat_suitability',\n",
    "    'strm'\n",
    ")\n",
    "\n",
    "# Step 3: Create the project directory if it doesn't already exist\n",
    "os.makedirs(project_dir, exist_ok=True)\n",
    "\n",
    "# Step 4: Confirm creation\n",
    "print(f\"Project directory created at: {project_dir}\")\n",
    "\n",
    "os.makedirs(project_dir, exist_ok=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set up the USFS National Grassland Units boundary URL\n",
    "habitat_url = (\n",
    "    \"https://data.fs.usda.gov\"\n",
    "    \"/geodata/edw/edw_resources/shp/\"\n",
    "    \"S_USA.NationalGrassland.zip\"\n",
    ")\n",
    "\n",
    "# Set up a path to save the data on your machine\n",
    "habitat_dir = os.path.join(project_dir, 'usfs_grassland')\n",
    "\n",
    "# Make the USFS National Grassland Units directory\n",
    "os.makedirs(habitat_dir, exist_ok=True)\n",
    "\n",
    "# Join USFS National Grassland Units shapefile path\n",
    "habitat_path = os.path.join(habitat_dir, 'usfs_grassland.shp')\n",
    "\n",
    "# Only download once\n",
    "if not os.path.exists(habitat_path):\n",
    "    habitat_gdf = gpd.read_file(habitat_url)\n",
    "    habitat_gdf.to_file(habitat_path)\n",
    "\n",
    "# Load from file\n",
    "habitat_gdf = gpd.read_file(habitat_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Study Area(s)\n",
    "\n",
    "### Sheyenne National Grassland\n",
    "\n",
    "Our first study areas is Sheyenne National Grassland, located in southeastern North Dakota, comprising 70,180 acres (28,400 ha) of public land amid 64,769 acres (26,211 ha) of privately owned land. It is characterized by sandy soils, originally deposited as the delta of an ancient river as it emptied into glacial Lake Agassiz. Since that time, wind and rain have shaped the topography into a unique landscape ranging from flat deltaic plains to choppy sand dunes.\n",
    "\n",
    "It is the only National Grassland in the tallgrass prairie region of the United States.\n",
    "\n",
    "Reference:\n",
    "    [US Forest Service](https://www.fs.usda.gov/recarea/dpg/recarea/?recid=79470)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
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.pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"ec95307e-2230-4f3d-9211-18cfdaea57d9\"},{\"id\":\"1f1a0aeb-4ae0-4f3e-a017-c67dfda74d87\"},{\"id\":\"40473620-424b-4649-902e-9e8170857f25\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}}]}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"ReactiveESM1\"},{\"type\":\"model\",\"name\":\"JSComponent1\"},{\"type\":\"model\",\"name\":\"ReactComponent1\"},{\"type\":\"model\",\"name\":\"AnyWidgetComponent1\"},{\"type\":\"model\",\"name\":\"request_value1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"_synced\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_request_sync\",\"kind\":\"Any\",\"default\":0}]}]}};\n",
       "  var render_items = [{\"docid\":\"003fce34-c2fb-4adf-962c-f6c25adbed63\",\"roots\":{\"6e994ccc-7683-4b11-8340-46d5a0a7c998\":\"b40ee438-56c0-4c04-8eb7-dd88f5d22989\"},\"root_ids\":[\"6e994ccc-7683-4b11-8340-46d5a0a7c998\"]}];\n",
       "  var docs = Object.values(docs_json)\n",
       "  if (!docs) {\n",
       "    return\n",
       "  }\n",
       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
       "  async function embed_document(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "    for (const render_item of render_items) {\n",
       "      for (const root_id of render_item.root_ids) {\n",
       "\tconst id_el = document.getElementById(root_id)\n",
       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
       "\t  const root_el = id_el.children[0]\n",
       "\t  root_el.id = root_el.id + '-rendered'\n",
       "\t  for (const child of root_el.children) {\n",
       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
       "\t  }\n",
       "\t}\n",
       "      }\n",
       "    }\n",
       "  }\n",
       "  function get_bokeh(root) {\n",
       "    if (root.Bokeh === undefined) {\n",
       "      return null\n",
       "    } else if (root.Bokeh.version !== py_version) {\n",
       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
       "\treturn null\n",
       "      }\n",
       "      return root.Bokeh.versions.get(py_version);\n",
       "    } else if (root.Bokeh.version === py_version) {\n",
       "      return root.Bokeh\n",
       "    }\n",
       "    return null\n",
       "  }\n",
       "  function is_loaded(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
       "  }\n",
       "  if (is_loaded(root)) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (is_loaded(root)) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else if (document.readyState == \"complete\") {\n",
       "        attempts++;\n",
       "        if (attempts > 200) {\n",
       "          clearInterval(timer);\n",
       "\t  var Bokeh = get_bokeh(root)\n",
       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
       "\t  } else {\n",
       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
       "\t    embed_document(root)\n",
       "\t  }\n",
       "        }\n",
       "      }\n",
       "    }, 25, root)\n",
       "  }\n",
       "})(window);</script>"
      ],
      "text/plain": [
       ":Overlay\n",
       "   .WMTS.I     :WMTS   [Longitude,Latitude]\n",
       "   .Polygons.I :Polygons   [Longitude,Latitude]"
      ]
     },
     "execution_count": 7,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "6e994ccc-7683-4b11-8340-46d5a0a7c998"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# select data from Sheyenne National Grassland only\n",
    "habitat1_gdf = habitat_gdf[habitat_gdf.GRASSLANDN=='Sheyenne National Grassland']\n",
    "habitat1_gdf.dissolve().hvplot(\n",
    "    geo=True, tiles='EsriImagery',\n",
    "    title='Sheyenne National Grassland',\n",
    "    fill_color=None, line_color='red', line_width=1,\n",
    "    frame_width=600\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Define bounds for Sheyanne National Grasslands\n",
    "habitat1_bounds = bounds_min_lon, bounds_min_lat, bounds_max_lon, bounds_max_lat = (\n",
    "    habitat1_gdf.total_bounds)\n",
    "\n",
    "habitat1_gdf.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Habitat 2 - Little Missouri National Grassland\n",
    "\n",
    "The second study area is Little Missouri National Grassland.The largest National Grassland, Little Missouri includes badlands and short and long grass prairie. \n",
    "\n",
    "The Little Missouri National Grassland was once a part of the Custer National Forest, but is now a part of the Dakota Prairie Grasslands, a National Forest unit consisting entirely of National Grasslands. A predominant feature of the grassland is colorful and beautiful badlands, a rugged terrain extensively eroded by wind and water. It is a mixed-grass prairie with both long and short grass.[4][5]\n",
    "\n",
    "The Little Missouri River meanders through the grassland and White Butte, North Dakota's highest point, is located in the extreme southeast corner, south of the town of Amidon [Little Missouri National Grassland Wikipedia page.](https://en.wikipedia.org/wiki/Little_Missouri_National_Grassland)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
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fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"ReactiveESM1\"},{\"type\":\"model\",\"name\":\"JSComponent1\"},{\"type\":\"model\",\"name\":\"ReactComponent1\"},{\"type\":\"model\",\"name\":\"AnyWidgetComponent1\"},{\"type\":\"model\",\"name\":\"request_value1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"_synced\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_request_sync\",\"kind\":\"Any\",\"default\":0}]}]}};\n",
       "  var render_items = [{\"docid\":\"ae301eb2-4e47-4c22-a6fa-01a7c9f83139\",\"roots\":{\"3b589946-9264-413e-81ef-75869bad3080\":\"fc9cb1c0-4983-44ed-916f-d2b3d03f927e\"},\"root_ids\":[\"3b589946-9264-413e-81ef-75869bad3080\"]}];\n",
       "  var docs = Object.values(docs_json)\n",
       "  if (!docs) {\n",
       "    return\n",
       "  }\n",
       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
       "  async function embed_document(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "    for (const render_item of render_items) {\n",
       "      for (const root_id of render_item.root_ids) {\n",
       "\tconst id_el = document.getElementById(root_id)\n",
       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
       "\t  const root_el = id_el.children[0]\n",
       "\t  root_el.id = root_el.id + '-rendered'\n",
       "\t  for (const child of root_el.children) {\n",
       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
       "\t  }\n",
       "\t}\n",
       "      }\n",
       "    }\n",
       "  }\n",
       "  function get_bokeh(root) {\n",
       "    if (root.Bokeh === undefined) {\n",
       "      return null\n",
       "    } else if (root.Bokeh.version !== py_version) {\n",
       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
       "\treturn null\n",
       "      }\n",
       "      return root.Bokeh.versions.get(py_version);\n",
       "    } else if (root.Bokeh.version === py_version) {\n",
       "      return root.Bokeh\n",
       "    }\n",
       "    return null\n",
       "  }\n",
       "  function is_loaded(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
       "  }\n",
       "  if (is_loaded(root)) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (is_loaded(root)) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else if (document.readyState == \"complete\") {\n",
       "        attempts++;\n",
       "        if (attempts > 200) {\n",
       "          clearInterval(timer);\n",
       "\t  var Bokeh = get_bokeh(root)\n",
       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
       "\t  } else {\n",
       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
       "\t    embed_document(root)\n",
       "\t  }\n",
       "        }\n",
       "      }\n",
       "    }, 25, root)\n",
       "  }\n",
       "})(window);</script>"
      ],
      "text/plain": [
       ":Overlay\n",
       "   .WMTS.I     :WMTS   [Longitude,Latitude]\n",
       "   .Polygons.I :Polygons   [Longitude,Latitude]"
      ]
     },
     "execution_count": 10,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "3b589946-9264-413e-81ef-75869bad3080"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# select data from Little Missouri National Grassland\n",
    "habitat2_gdf = habitat_gdf[habitat_gdf.GRASSLANDN=='Little Missouri National Grassland']\n",
    "habitat2_gdf.dissolve().hvplot(\n",
    "    geo=True, tiles='EsriImagery',\n",
    "    title='Little Missouri National Grassland',\n",
    "    fill_color=None, line_color='red', line_width=3,\n",
    "    frame_width=800\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%store habitat1_gdf habitat2_gdf project_dir"
   ]
  }
 ],
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   "display_name": "earth-analytics-python",
   "language": "python",
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