ArcGIS in a notebook (Filled In) v2.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- <img src=\"img/title_01.png\"> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"img/hello_fedgis_notebook.jpg\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hello, FedGIS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "1+2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import arcgis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enter password: ········\n"
     ]
    }
   ],
   "source": [
    "gis = arcgis.gis.GIS(url=\"https://ndirt.maps.arcgis.com\", username=\"ANieto_ndirt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "50dd333351814a789decafda797faf36"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "m = gis.map('Washington DC')\n",
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- <img src=\"\" /> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- <img src=\"\" /> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- <img src=\"\" /> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- <img src=\"\" /> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- <img src=\"\" /> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- <img src=\"\" /> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- <img src=\"\" /> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- <img src=\"\" /> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- <img src=\"\" /> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- <img src=\"\" /> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- <img src=\"\" /> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- <img src=\"\" /> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- <img src=\"\" /> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Anyone a fan of brutalist architecture? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"800\"\n",
       "            height=\"600\"\n",
       "            src=\"https://www.youtube.com/embed/VGwVAxRHxgM?autoplay=True&start=53&controls=0\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x1618e511ef0>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "YouTubeVideo('VGwVAxRHxgM', width=800, height=600, autoplay=True, start=53, controls=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Let's take a tour of Washington DC's brutalist Federal buildings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- <tr><td><img src=\"img/brutalist01.JPG\" style=\"width: 500px\"/><img src=\"img/brutalist03.JPG\" style=\"width: 500px\"/><img src=\"img/brutalist02.JPG\" style=\"width: 500px\"/></td> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "|DC Metro|FBI Headquarters|HUD Building|\n",
    "|:----:|:----:|:----:|\n",
    "|![](img/brutalist01.JPG)|![](img/brut03.JPG)|![](img/brutalist03.JPG)|"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"item_container\" style=\"height: auto; overflow: hidden; border: 1px solid #cfcfcf; border-radius: 2px; background: #f6fafa; line-height: 1.21429em; padding: 10px;\">\n",
       "                    <div class=\"item_left\" style=\"width: 210px; float: left;\">\n",
       "                       <a href='https://ndirt.maps.arcgis.com/home/item.html?id=96ff917a6f5b44a8afe57f3ee125269c' target='_blank'>\n",
       "                        <img src='data:image/png;base64,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' width='200' height='133' class=\"itemThumbnail\">\n",
       "                       </a>\n",
       "                    </div>\n",
       "\n",
       "                    <div class=\"item_right\"     style=\"float: none; width: auto; overflow: hidden;\">\n",
       "                        <a href='https://ndirt.maps.arcgis.com/home/item.html?id=96ff917a6f5b44a8afe57f3ee125269c' target='_blank'><b>Federal_Buildings_Brutalist_Architecture</b>\n",
       "                        </a>\n",
       "                        <br/>Federal Buildings in DC<img src='https://ndirt.maps.arcgis.com/home/js/jsapi/esri/css/images/item_type_icons/featureshosted16.png' style=\"vertical-align:middle;\">Feature Layer Collection by ANieto_ndirt\n",
       "                        <br/>Last Modified: March 07, 2018\n",
       "                        <br/>0 comments, 0 views\n",
       "                    </div>\n",
       "                </div>\n",
       "                "
      ],
      "text/plain": [
       "<Item title:\"Federal_Buildings_Brutalist_Architecture\" type:Feature Layer Collection owner:ANieto_ndirt>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "items = gis.content.search(\"Brutalist Buildings\", item_type=\"feature layer\")\n",
    "for item in items:\n",
    "    display(item)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4a9cbdc80b2f4131b2b95530e368644f"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "federal_buildings = items[0]\n",
    "\n",
    "m2 = gis.map('Washington DC', zoomlevel=12)\n",
    "m2.basemap = \"gray-vector\"\n",
    "\n",
    "display(m2)\n",
    "\n",
    "m2.add_layer([federal_buildings])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- <img src=\"\" /> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- <img src=\"\" /> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- <img src=\"\" /> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- <img src=\"\" /> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- <img src=\"\" /> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- <img src=\"\" /> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- <img src=\"\" /> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analysis - Let's plot the best tour route to each building"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "#### Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "from IPython.display import YouTubeVideo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "import time\n",
    "\n",
    "def visualize_find_routes_results(map_widget, find_routes_result, stops_layer, zoom_level, iterations=1):\n",
    "    # The map widget\n",
    "    m = map_widget\n",
    "    m.basemap = 'dark-gray-vector'\n",
    "    # The find_routes result\n",
    "    result = find_routes_result\n",
    "    \n",
    "    # 1. Parse the find-routes analysis results\n",
    "    # Extract the output data from the analysis results\n",
    "    # Store the output points and lines in pandas dataframes\n",
    "    lines_df = result.output_routes.df\n",
    "    lines_fset = arcgis.features.FeatureSet.from_dataframe(lines_df)\n",
    "    \n",
    "    # 2. Define the map symbology\n",
    "    # Allocation lines\n",
    "    allocation_line_symbol_1 = {'type': 'esriSLS', 'style': 'esriSLSSolid',\n",
    "                                'color': [255,255,255,153], 'width': 0.7}\n",
    "\n",
    "    allocation_line_symbol_2 = {'type': 'esriSLS', 'style': 'esriSLSSolid',\n",
    "                                'color': [0,255,197,39], 'width': 3}\n",
    "\n",
    "    allocation_line_symbol_3 = {'type': 'esriSLS', 'style': 'esriSLSSolid',\n",
    "                                'color': [0,197,255,39], 'width': 5}\n",
    "    \n",
    "    allocation_line_symbol_4 = {'type': 'esriSLS', 'style': 'esriSLSSolid',\n",
    "                                'color': [0,92,230,39], 'width': 7}\n",
    "    \n",
    "    time.sleep(1.5)\n",
    "    \n",
    "    m.add_layer(stops_layer)\n",
    "    \n",
    "    for iteration in range(iterations):\n",
    "        m.draw(shape=result.output_routes, symbol=allocation_line_symbol_4)\n",
    "        m.draw(shape=result.output_routes, symbol=allocation_line_symbol_2)\n",
    "        m.draw(shape=result.output_routes, symbol=allocation_line_symbol_1)\n",
    "    \n",
    "    m.zoom = zoom_level"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "federal_architecture_tour_route = arcgis.network.analysis.find_routes(federal_buildings.layers[0].query(),\n",
    "                                                                      reorder_stops_to_find_optimal_routes=True,\n",
    "                                                                      travel_mode=\"Walking Time\",\n",
    "                                                                      impedance=\"Walk Time\",\n",
    "                                                                      gis=gis)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Brutalist Architectural Tour of DC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "arcgis.network.analysis.find_routes?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "federal_architecture_tour_route = arcgis.network.analysis.find_routes(federal_buildings.layers[0].query(),\n",
    "                                                                      reorder_stops_to_find_optimal_routes=True,\n",
    "                                                                      travel_mode=\"Walking Time\",\n",
    "                                                                      impedance=\"Walk Time\",\n",
    "                                                                      gis=gis)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "federal_architecture_tour_route.output_directions.df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tour_map = gis.map('Washington Convention Center', zoomlevel=11)\n",
    "tour_map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "visualize_find_routes_results(tour_map, federal_architecture_tour_route, federal_buildings, zoom_level=13, iterations=5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### TODO - Add images, animation of stops"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "m.add_layer(routes_layer)\n",
    "m.add_layer(assigned_stops_layer)"
   ]
  }
 ],
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