first-map.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "id": "4681aaaa-53e1-4010-8fb0-39d1b85c34a8",
      "metadata": {},
      "source": [
        "# Add a map to your website\n",
        "\n",
        "Get started with maps\n",
        "\n",
        "Nate Quarderer  \n",
        "Elsa Culler  \n",
        "2024-03-28\n",
        "\n",
        "## Get started with map-making using open-sources tools\n",
        "\n",
        "### Finding locations and boundaries\n",
        "\n",
        "[Open Street Map (OSM)](https://www.openstreetmap.org/) is an\n",
        "open-source, editable map of the world – a little like a wiki for\n",
        "places. They also provide a service for looking up locations using text,\n",
        "which we’ll be using in this activity.\n",
        "\n",
        "### Mapping libraries\n",
        "\n",
        "You’ll need to start by importing the following libraries:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "id": "cd830589",
      "metadata": {},
      "outputs": [],
      "source": [
        "# Work with vector data\n",
        "import geopandas as gpd\n",
        "\n",
        "# Save maps and plots to files\n",
        "import holoviews as hv\n",
        "# Create interactive maps and plots\n",
        "import hvplot.pandas\n",
        "\n",
        "# Search for locations by name - this might take a moment\n",
        "from osmnx import features as osm"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "f9505692-f5e7-4163-9ba7-7a08773dc238",
      "metadata": {},
      "source": [
        "### Search for a point of interest\n",
        "\n",
        "You can use the `pyrosm` package to download and search for spatial\n",
        "vector data in your area, or anywhere around the world.\n",
        "\n",
        "In this case, we’re looking for the location of the United Tribes\n",
        "Technical College campus in North Dakota. The address in here,\n",
        "`'United Tribes Technical College, Bismarck, ND, United States'`, does\n",
        "not have to be complete or exact, but it should be specific enough to\n",
        "narrow it down. We are also specifying that we want it to be tagges as a\n",
        "`'amentity'` type, specifically a `'college'` You might have to try a\n",
        "couple different searches with different addresses and/or tags to get\n",
        "the address you want, just like if you are using a map website or app."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "id": "c4a50a59",
      "metadata": {},
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
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              "    }\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></th>\n",
              "      <th>nodes</th>\n",
              "      <th>amenity</th>\n",
              "      <th>boundary</th>\n",
              "      <th>internet_access</th>\n",
              "      <th>name</th>\n",
              "      <th>operator</th>\n",
              "      <th>website</th>\n",
              "      <th>geometry</th>\n",
              "      <th>ele</th>\n",
              "      <th>gnis:feature_id</th>\n",
              "      <th>wikidata</th>\n",
              "      <th>wikipedia</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>element_type</th>\n",
              "      <th>osmid</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th rowspan=\"2\" valign=\"top\">way</th>\n",
              "      <th>46226108</th>\n",
              "      <td>[589514700, 2188984094, 2188984095, 326889012,...</td>\n",
              "      <td>university</td>\n",
              "      <td>administrative</td>\n",
              "      <td>wlan</td>\n",
              "      <td>University of Colorado Boulder (Main Campus)</td>\n",
              "      <td>University of Colorado Boulder</td>\n",
              "      <td>https://www.colorado.edu/</td>\n",
              "      <td>POLYGON ((-105.27589 40.01047, -105.27597 40.0...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>391232001</th>\n",
              "      <td>[3944423259, 3944423260, 3944423261, 394442326...</td>\n",
              "      <td>university</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Naropa University</td>\n",
              "      <td>Naropa University</td>\n",
              "      <td>NaN</td>\n",
              "      <td>POLYGON ((-105.26632 40.01452, -105.26631 40.0...</td>\n",
              "      <td>1620</td>\n",
              "      <td>178660</td>\n",
              "      <td>Q2975783</td>\n",
              "      <td>en:Naropa University</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                                    nodes  \\\n",
              "element_type osmid                                                          \n",
              "way          46226108   [589514700, 2188984094, 2188984095, 326889012,...   \n",
              "             391232001  [3944423259, 3944423260, 3944423261, 394442326...   \n",
              "\n",
              "                           amenity        boundary internet_access  \\\n",
              "element_type osmid                                                   \n",
              "way          46226108   university  administrative            wlan   \n",
              "             391232001  university             NaN             NaN   \n",
              "\n",
              "                                                                name  \\\n",
              "element_type osmid                                                     \n",
              "way          46226108   University of Colorado Boulder (Main Campus)   \n",
              "             391232001                             Naropa University   \n",
              "\n",
              "                                              operator  \\\n",
              "element_type osmid                                       \n",
              "way          46226108   University of Colorado Boulder   \n",
              "             391232001               Naropa University   \n",
              "\n",
              "                                          website  \\\n",
              "element_type osmid                                  \n",
              "way          46226108   https://www.colorado.edu/   \n",
              "             391232001                        NaN   \n",
              "\n",
              "                                                                 geometry  \\\n",
              "element_type osmid                                                          \n",
              "way          46226108   POLYGON ((-105.27589 40.01047, -105.27597 40.0...   \n",
              "             391232001  POLYGON ((-105.26632 40.01452, -105.26631 40.0...   \n",
              "\n",
              "                         ele gnis:feature_id  wikidata             wikipedia  \n",
              "element_type osmid                                                            \n",
              "way          46226108    NaN             NaN       NaN                   NaN  \n",
              "             391232001  1620          178660  Q2975783  en:Naropa University  "
            ]
          },
          "execution_count": 12,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Search for United Tribes Technical College\n",
        "cub_abaker_gdf = osm.features_from_address(\n",
        "    'University of Colorado Boulder (Main Campus), Boulder, CO, United States',\n",
        "    {'amenity': ['university']})\n",
        "cub_abaker_gdf"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "id": "8aa08622",
      "metadata": {},
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "execution_count": 13,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "cub_abaker_gdf.plot()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "eaafd823-c1f1-46f2-96e2-486a405e9ef5",
      "metadata": {},
      "source": [
        "We have a map of the UTTC Campus!\n",
        "\n",
        "> **Warning**\n",
        ">\n",
        "> The Open Street Maps (OSM) database is not always complete. For\n",
        "> example, try searching for UTTC with the `{'building': True}`, and\n",
        "> compare it to the [map of the UTTC campus on their\n",
        "> website](https://uttc.edu/wp-content/uploads/2022/12/CAMPUS-MAP-2022-23.pdf).\n",
        "> What do you notice?\n",
        "\n",
        "### Create an interactive map\n",
        "\n",
        "There are lots of different ways to create maps and plots in Python.\n",
        "Here, we’re going to use a tool called `'hvplot'` and `'geoviews'` to\n",
        "create an interactive map, including the online `'EsriImagery'` tile\n",
        "source basemap."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "id": "8176d4d3",
      "metadata": {},
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "WARNING:bokeh.core.validation.check:W-1005 (FIXED_SIZING_MODE): 'fixed' sizing mode requires width and height to be set: figure(id='p1403', ...)\n"
          ]
        },
        {
          "data": {},
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.holoviews_exec.v0+json": "",
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              "</div>\n",
              "<script type=\"application/javascript\">(function(root) {\n",
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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\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]}]}};\n",
              "  var render_items = [{\"docid\":\"35d007a3-4d85-4165-bf0a-83fa4cf04679\",\"roots\":{\"p1461\":\"c262a491-e71c-4108-af29-d85832b6f5c3\"},\"root_ids\":[\"p1461\"]}];\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",
              "  function embed_document(root) {\n",
              "    var Bokeh = get_bokeh(root)\n",
              "    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].className === 'bk-root')) {\n",
              "\t  const root_el = id_el.children[0]\n",
              "\t  root_el.id = root_el.id + '-rendered'\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": 14,
          "metadata": {
            "application/vnd.holoviews_exec.v0+json": {
              "id": "p1461"
            }
          },
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Plot UTTC boundary\n",
        "cub_abaker_map = cub_abaker_gdf.reset_index().hvplot(\n",
        "    # Givethe map a descriptive title\n",
        "    title=\"University of Colorado, Boulder, CO\",\n",
        "    # Add a basemap\n",
        "    geo=True, tiles='EsriImagery',\n",
        "    # Change the colors\n",
        "    fill_color='white', fill_alpha=0.2,\n",
        "    line_color='skyblue', line_width=5,\n",
        "    # Change the image size\n",
        "    frame_width=400, frame_height=400)\n",
        "\n",
        "# Save the map as a file to put on the web\n",
        "hv.save(cub_abaker_map, 'cub_abaker.html')\n",
        "\n",
        "# Display the map\n",
        "cub_abaker_map"
      ]
    }
  ],
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