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    "# Vector overlay operations\n",
    "\n",
    "Map overlay is probably the oldest analysis technique in GIS to understand relations between layers of geographic information. Already in the mid 19th century, John Snow famously identified the source of cholera outbreak in London to a specific public water pump by overlaying two point maps on top of each other ({cite}`unwin_1996`). Map overlay has been an important analytical tool for very long time, as being able to combine and analyse multiple layers of spatial data together is crucial for various spatial planning processes, including e.g. suitability analyses, environment impact assessment, or when doing zoning and landuse plans (e.g. {cite}`keeble_1952`; {cite}`masser_1999`; {cite}`steinitz_1976`). \n",
    "\n",
    "Overlay operations can be done both with vector and raster data. Vector overlay operations are commonly used technique to produce new geometries and associated attribute data based on two or more vector layers. When working with multiple spatial datasets (especially polygon or line layers), you might need to create new shapes based on places where the layers overlap (or do not overlap) with each other. Typical overlay operations include union, intersection, and difference (Figure 6.52). These are named after the result of the combination of two or more input layers which produce at least one (or more) output layer. Being able to combine spatial data layers like this is an important feature in most GIS tools. These manipulations are also often called as set operations.\n",
    "\n",
    "The basic idea of vector overlay operations is demonstrated in Figure 6.52 where the green areas represent the areas which constitute the result after the overlay operation. It is good to keep in mind that overlays operate at the GeoDataFrame level, not on individual geometries, and the properties from both are retained (often, not always). In effect, for every shape in the left GeoDataFrame, this operation is executed against every other shape in the right GeoDataFrame\n",
    "\n",
    "![_**Figure 6.52**. Typical vector overlay operations between two geographic layers (circle and rectangles). _](../img/vector_overlay_processes.png)\n",
    "\n",
    "_**Figure 6.52**. Typical vector overlay operations between two geographic layers (circle and rectangles)._\n"
   ]
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   "source": [
    "To demonstrate how these overlay operations work in practice, we will carry out vector overlay operations between two Polygon datasets that represent i) the postal code areas in the Helsinki city center and ii) a 3000 meter buffer around the Helsinki railway center. Let's start by reading the datasets and prepare them for analysis:"
   ]
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   "id": "0ac60f3a-422d-44d7-bc03-2628397057fc",
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    {
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       "      <th>posti_alue</th>\n",
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       "  posti_alue  he_vakiy  index_right       density  \\\n",
       "0      00100   18284.0            0   7769.586237   \n",
       "1      00120    7108.0            0  17168.685515   \n",
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       "\n",
       "                                            geometry  \n",
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      ]
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   ],
   "source": [
    "import geopandas as gpd\n",
    "\n",
    "postal_areas = gpd.read_file(\"data/Helsinki/Helsinki_centre_postal_areas.gpkg\")\n",
    "railway_station = gpd.read_file(\"data/Helsinki/Helsinki_railway_station.gpkg\")\n",
    "\n",
    "# Check the data\n",
    "postal_areas.head()"
   ]
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    {
     "data": {
      "text/plain": [
       "(30, 5)"
      ]
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     "metadata": {},
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   "source": [
    "postal_areas.shape"
   ]
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       "      <td>Helsinki Railway station</td>\n",
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       "                       name  id                        geometry\n",
       "0  Helsinki Railway station   0  POINT (385738.777 6672297.759)"
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    "railway_station.head()"
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    "From here we can see that the `postal_areas` include MultiPolygon geometries representing altogether thirty postal code areas, whereas the `railway_station` represents a single `Point` for the Helsinki Railway station. As vector overlay operation happens between two geographic datasets, it is necessary to ensure that they both share the same Coordinate Reference System. Hence, let's first check that the `.crs` are matching using the Python's `assert` statement that tests whether the condition is `True`. If the test fails, the `assert` will throw an `AssertionError` with the message that we provide as text like in the following:"
   ]
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   "execution_count": 4,
   "id": "496ff58a-2148-4933-bfe5-81784808800e",
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   "source": [
    "assert postal_areas.crs == railway_station.crs, \"The CRS does not match!\""
   ]
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  {
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   "id": "84548d53-d91f-42a1-957b-031d0a0a9869",
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   "source": [
    "Great, the CRS matches between the layers. Hence, let's continue and create a 3 kilometer buffer around the Helsinki railway station which we will use in our vector overlay operations:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e52f7727-3ad7-4917-bc2c-5d1580236247",
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   "source": [
    "station_buffer = railway_station.copy()\n",
    "station_buffer[\"geometry\"] = station_buffer.buffer(3000)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "126adba5-4b52-432b-8ffb-ab8bf6967e5a",
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   "source": [
    "Here, we first created a copy of the original GeoDataFrame and then used the `.buffer()` method to create a Polygon circle with 3000 meter radius. Let's visualize the data on a map so that we can get a better understanding of the two layers and how they overlap with each other:"
   ]
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  {
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   "execution_count": 26,
   "id": "023188d8-570a-4c47-9d16-13a6c7fb9338",
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[24.9792123878566, 60.17472224714195], [24.979313910185162, 60.17496570511517], [24.979455332399365, 60.1752102581928], [24.979509166872123, 60.17528616814882], [24.9796280893762, 60.175453855332826], [24.979827328689872, 60.175694199425756], [24.980051569557403, 60.17592848969188], [24.980302596178507, 60.17615310477016], [24.980585596603074, 60.17636322127786], [24.980909521910185, 60.17655233781248], [24.981127514454137, 60.176648470168026], [24.981241521380902, 60.176698745723684], [24.981606300160927, 60.17682460310259], [24.981995321956532, 60.17693165060821], [24.982401729835477, 60.17702002794192], [24.982819945385558, 60.17708813570004], [24.983245297249336, 60.17713239977325], [24.983673665123206, 60.17714692999961], [24.984150544379446, 60.17711442423574], [24.984676224156477, 60.17702186093085], [24.985224523752002, 60.176879175086235], [24.985768837523565, 60.17669698275295], [24.986271398743256, 60.176493554867164], [24.986733084459875, 60.176279507371994], [24.98714062201623, 60.17607073900176], [24.987480389820938, 60.17588285856458], [24.987949786880662, 60.17560435199281], [24.988001258200566, 60.17557254386156], [24.988181049491747, 60.17556274388962], [24.988462187371148, 60.17557754024043], [24.98883352512253, 60.17562353358388], [24.989265342242653, 60.17569642078268], [24.9902318598889, 60.17588260391322], [24.990728607675678, 60.17597117153606], [24.991208766753395, 60.17603852136236], [24.99167484329635, 60.176073712201955], [24.992064009192156, 60.176069659467274], [24.992341570756995, 60.17602797950197], [24.992522019288135, 60.17595443970306], [24.992597208553217, 60.17587070063939], [24.99260143099847, 60.175773788933995], [24.992533535435474, 60.17567149772705], [24.992348806267287, 60.175544327178685], [24.99208036198833, 60.17541802198086], [24.991756641745642, 60.17529047704347], [24.991029773684865, 60.175021191985216], [24.990661706657367, 60.17487289132092], [24.990326803417467, 60.17471981574078], [24.990011002487037, 60.17455633707577], [24.989718217390323, 60.17438447017329], [24.989614063071134, 60.17431400491446], [24.989453777802293, 60.17420556338601], [24.98922485470277, 60.17402039215208], [24.989040900625525, 60.17382924112445], [24.988914145832894, 60.17363195570283], [24.98885395996611, 60.17343010727461], [24.98884688048775, 60.17322507600932], [24.988877418164925, 60.1730200803518], [24.98893237596881, 60.172818331289], [24.98905673408754, 60.17246480078883], [24.989093815896293, 60.17231154896618], [24.989090558017402, 60.172193309543076], [24.989089679952887, 60.17216140626298], [24.9890044874107, 60.17197749048063], [24.988843366405302, 60.17179574998054], [24.98862451761995, 60.17161684876878], [24.988362101506972, 60.171441950010966], [24.988066979553984, 60.17127282970227], [24.98774734426823, 60.17111204072162], [24.987409279633802, 60.17096312252588], [24.9870572253991, 60.17083087943936], [24.986694373141233, 60.17072171269737], [24.986323015705466, 60.170644036213424], [24.985950341100008, 60.170606094929035]]]], &quot;type&quot;: &quot;MultiPolygon&quot;}, &quot;id&quot;: &quot;28&quot;, &quot;properties&quot;: {&quot;density&quot;: 2205.34975650513, &quot;he_vakiy&quot;: 3962.0, &quot;index_right&quot;: 0, &quot;posti_alue&quot;: &quot;00570&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [24.963842045606043, 60.18672946701417, 24.984923839302667, 60.20114588207236], &quot;geometry&quot;: {&quot;coordinates&quot;: [[[[24.984377901970007, 60.18672946701417], [24.975879260476027, 60.187195907821526], [24.97119875387255, 60.18756187575486], [24.970549552727736, 60.18842137090008], [24.96983689835911, 60.18865061716767], [24.965012302715717, 60.189577862617014], [24.963842045606043, 60.189695669344275], [24.964890063786335, 60.190377456785704], [24.965010090188734, 60.19228725335938], [24.96625106055645, 60.19293069831242], [24.968088522809957, 60.19378234286879], [24.968441946023358, 60.195709182405324], [24.97169484330135, 60.196913280923944], [24.969276034217117, 60.19878055251459], [24.970770078308988, 60.200097445855306], [24.97779501521709, 60.20114588207236], [24.97978407496829, 60.20091476198865], [24.97977638390893, 60.20087011746327], [24.97977456426631, 60.20062136358728], [24.97982190820367, 60.200379043411424], [24.97991068805828, 60.20013847100224], [24.98003198781794, 60.19989985354998], [24.980179691667026, 60.199663608865706], [24.98035015000778, 60.19943039622347], [24.98054194342893, 60.19920116844635], [24.980755743642987, 60.19897723175194], [24.980994279630778, 60.19876032605729], [24.981262383002903, 60.19855270828121], [24.98152637783452, 60.19837866791291], [24.98180970087219, 60.19821095794813], [24.982697597619122, 60.19771846670988], [24.98298181504094, 60.197549131468136], [24.983292821163072, 60.19734299332197], [24.983581560212276, 60.19712915341942], [24.983849482116423, 60.1969092129546], [24.98409617051007, 60.19668428754675], [24.98431918118444, 60.19645505330331], [24.984513772960614, 60.1962217822624], [24.984672551917555, 60.195984349567695], [24.984785020174595, 60.19574223828568], [24.984842665356695, 60.19549592001265], [24.9848566177892, 60.19524551190194], [24.9848398182881, 60.19499213849003], [24.98480259671104, 60.19473663311485], [24.98464693440716, 60.19396256251206], [24.984602480893855, 60.19370300765204], [24.98457261584536, 60.19344290391698], [24.98456250267936, 60.19319050147171], [24.98456823633216, 60.192937756127584], [24.984612520702868, 60.192431685636095], [24.98468266361901, 60.19192529059423], [24.98484079324989, 60.19091246445053], [24.984901331502066, 60.19040618012555], [24.98491903136155, 60.19015308129722], [24.984923839302667, 60.18990001641462], [24.984912444473714, 60.18964035776402], [24.984887469137632, 60.18938070731268], [24.984810676199746, 60.18886130365722], [24.984661450200228, 60.188081562813046], [24.984377901970007, 60.18672946701417]]]], &quot;type&quot;: &quot;MultiPolygon&quot;}, &quot;id&quot;: &quot;29&quot;, &quot;properties&quot;: {&quot;density&quot;: 2109.6973664092784, &quot;he_vakiy&quot;: 2727.0, &quot;index_right&quot;: 0, &quot;posti_alue&quot;: &quot;00580&quot;}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
       "\n",
       "        \n",
       "    \n",
       "    geo_json_4874a13155fd8a9e96347f289fb01f7c.bindTooltip(\n",
       "    function(layer){\n",
       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
       "    \n",
       "    let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
       "    let fields = [&quot;posti_alue&quot;, &quot;he_vakiy&quot;, &quot;index_right&quot;, &quot;density&quot;];\n",
       "    let aliases = [&quot;posti_alue&quot;, &quot;he_vakiy&quot;, &quot;index_right&quot;, &quot;density&quot;];\n",
       "    let table = &#x27;&lt;table&gt;&#x27; +\n",
       "        String(\n",
       "        fields.map(\n",
       "        (v,i)=&gt;\n",
       "        `&lt;tr&gt;\n",
       "            &lt;th&gt;${aliases[i]}&lt;/th&gt;\n",
       "            \n",
       "            &lt;td&gt;${handleObject(layer.feature.properties[v])}&lt;/td&gt;\n",
       "        &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
       "    +&#x27;&lt;/table&gt;&#x27;;\n",
       "    div.innerHTML=table;\n",
       "    \n",
       "    return div\n",
       "    }\n",
       "    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
       "                     \n",
       "    \n",
       "            geo_json_4874a13155fd8a9e96347f289fb01f7c.addTo(map_4b98633354783559c778277a0a03126e);\n",
       "        \n",
       "    \n",
       "        function geo_json_d11908cc84796023fbcd8d609a68d119_styler(feature) {\n",
       "            switch(feature.id) {\n",
       "                default:\n",
       "                    return {&quot;color&quot;: &quot;red&quot;, &quot;fillColor&quot;: &quot;red&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "            }\n",
       "        }\n",
       "        function geo_json_d11908cc84796023fbcd8d609a68d119_highlighter(feature) {\n",
       "            switch(feature.id) {\n",
       "                default:\n",
       "                    return {&quot;fillOpacity&quot;: 0.75};\n",
       "            }\n",
       "        }\n",
       "        function geo_json_d11908cc84796023fbcd8d609a68d119_pointToLayer(feature, latlng) {\n",
       "            var opts = {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 2, &quot;stroke&quot;: true, &quot;weight&quot;: 3};\n",
       "            \n",
       "            let style = geo_json_d11908cc84796023fbcd8d609a68d119_styler(feature)\n",
       "            Object.assign(opts, style)\n",
       "            \n",
       "            return new L.CircleMarker(latlng, opts)\n",
       "        }\n",
       "\n",
       "        function geo_json_d11908cc84796023fbcd8d609a68d119_onEachFeature(feature, layer) {\n",
       "            layer.on({\n",
       "                mouseout: function(e) {\n",
       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
       "                            geo_json_d11908cc84796023fbcd8d609a68d119.resetStyle(e.target);\n",
       "                    }\n",
       "                },\n",
       "                mouseover: function(e) {\n",
       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
       "                        const highlightStyle = geo_json_d11908cc84796023fbcd8d609a68d119_highlighter(e.target.feature)\n",
       "                        e.target.setStyle(highlightStyle);\n",
       "                    }\n",
       "                },\n",
       "            });\n",
       "        };\n",
       "        var geo_json_d11908cc84796023fbcd8d609a68d119 = L.geoJson(null, {\n",
       "                onEachFeature: geo_json_d11908cc84796023fbcd8d609a68d119_onEachFeature,\n",
       "            \n",
       "                style: geo_json_d11908cc84796023fbcd8d609a68d119_styler,\n",
       "                pointToLayer: geo_json_d11908cc84796023fbcd8d609a68d119_pointToLayer,\n",
       "        });\n",
       "\n",
       "        function geo_json_d11908cc84796023fbcd8d609a68d119_add (data) {\n",
       "            geo_json_d11908cc84796023fbcd8d609a68d119\n",
       "                .addData(data);\n",
       "        }\n",
       "            geo_json_d11908cc84796023fbcd8d609a68d119_add({&quot;bbox&quot;: [24.88656613338643, 60.144625552964726, 24.99462643262791, 60.19846490840946], &quot;features&quot;: [{&quot;bbox&quot;: [24.88656613338643, 60.144625552964726, 24.99462643262791, 60.19846490840946], &quot;geometry&quot;: {&quot;coordinates&quot;: [[[24.99462643262791, 60.172374051790214], [24.994527131119177, 60.16973143580136], [24.99390851030083, 60.16710639196846], [24.99277664959779, 60.16452419432998], [24.991142563427907, 60.16200969851655], [24.989022090755824, 60.15958710285473], [24.986435738654233, 60.157279716003785], [24.983408481527917, 60.15510973333698], [24.979969518059104, 60.15309802418836], [24.976151988311056, 60.151263931974945], [24.97199265377838, 60.14962508907742], [24.967531543494616, 60.14819724821679], [24.962811569599072, 60.14699413190607], [24.957878116023604, 60.14602730138213], [24.95277860418515, 60.14530604623894], [24.94756203976068, 60.144837295787454], [24.942278544776542, 60.144625552964726], [24.93697887936401, 60.14467285140403], [24.931713957616605, 60.14497873606301], [24.926534362032175, 60.14554026758814], [24.921489861033752, 60.146352050374276], [24.916628934038002, 60.1474062840584], [24.91199830847835, 60.14869283796956], [24.90764251309216, 60.150199347843525], [24.903603451647747, 60.15191133390326], [24.89992000111811, 60.153812339205835], [24.8966276381043, 60.15588408696557], [24.893758097073675, 60.15810665538287], [24.89133906370749, 60.160458668340304], [24.889393906349348, 60.162917500174224], [24.88794144821364, 60.16545949259158], [24.88699578265169, 60.168060181680815], [24.88656613338643, 60.170694532862264], [24.88665676121572, 60.1733371815412], [24.887266918253953, 60.175962677162566], [24.88839085033378, 60.17854572832597], [24.890017847729343, 60.18106144660034], [24.89213234389334, 60.18348558668077], [24.89471406142698, 60.18579478055705], [24.897738204029704, 60.18796676341302], [24.9011756927093, 60.18998058904863], [24.904993444078617, 60.1918168327114], [24.909154688127106, 60.19345777934175], [24.91361932244036, 60.19488759537328], [24.918344299453153, 60.19609248238822], [24.92328404296692, 60.197060811102354], [24.928390889845858, 60.19778323434696], [24.933615552531148, 60.198252777921454], [24.938907597784194, 60.19846490840946], [24.944215936890892, 60.198417577279905], [24.94948932243167, 60.198111240831395], [24.954676846649107, 60.19754885577954], [24.95972843642668, 60.19673585053014], [24.96459533992965, 60.195680072424906], [24.96923060005082, 60.19439171148622], [24.973589509949594, 60.192883201421445], [24.977630046169295, 60.19116909887396], [24.98131327506295, 60.18926594212212], [24.98460372854769, 60.18719209063063], [24.987469745539023, 60.18496754704423], [24.989883775783124, 60.18261376338494], [24.991822643203836, 60.1801534333633], [24.993267766305486, 60.177610272846735], [24.99420533361763, 60.17500879063611], [24.99462643262791, 60.172374051790214]]], &quot;type&quot;: &quot;Polygon&quot;}, &quot;id&quot;: &quot;0&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;red&quot;, &quot;id&quot;: 0, &quot;name&quot;: &quot;Helsinki Railway station&quot;}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
       "\n",
       "        \n",
       "    \n",
       "    geo_json_d11908cc84796023fbcd8d609a68d119.bindTooltip(\n",
       "    function(layer){\n",
       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
       "    \n",
       "    let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
       "    let fields = [&quot;name&quot;, &quot;id&quot;];\n",
       "    let aliases = [&quot;name&quot;, &quot;id&quot;];\n",
       "    let table = &#x27;&lt;table&gt;&#x27; +\n",
       "        String(\n",
       "        fields.map(\n",
       "        (v,i)=&gt;\n",
       "        `&lt;tr&gt;\n",
       "            &lt;th&gt;${aliases[i]}&lt;/th&gt;\n",
       "            \n",
       "            &lt;td&gt;${handleObject(layer.feature.properties[v])}&lt;/td&gt;\n",
       "        &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
       "    +&#x27;&lt;/table&gt;&#x27;;\n",
       "    div.innerHTML=table;\n",
       "    \n",
       "    return div\n",
       "    }\n",
       "    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
       "                     \n",
       "    \n",
       "            geo_json_d11908cc84796023fbcd8d609a68d119.addTo(map_4b98633354783559c778277a0a03126e);\n",
       "        \n",
       "&lt;/script&gt;\n",
       "&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x161d1cf80>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m = postal_areas.explore(tiles=\"CartoDB Positron\")\n",
    "m = station_buffer.explore(m=m, color=\"red\")\n",
    "m"
   ]
  },
  {
   "cell_type": "raw",
   "id": "036e108f-62f2-4da3-8f22-8efa59508877",
   "metadata": {
    "editable": true,
    "raw_mimetype": "",
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-cell"
    ]
   },
   "source": [
    "% This cell is only needed to produce a figure for display in the hard copy of the book.\n",
    "\\adjustimage{max size={0.9\\linewidth}{0.9\\paperheight}, caption={\\emph{\\textbf{Figure 6.53}. A sample of postal code areas in the Helsinki city centre and a 3km buffer around Helsinki railway station.}}, center, nofloat}{../img/figure_6-53.png}\n",
    "{ \\hspace*{\\fill} \\\\}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff6d70d7",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "_**Figure 6.53**. A sample of postal code areas in the Helsinki city centre and a 3km buffer around Helsinki railway station._"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e475501-29a9-4eae-b276-3a37f7f2078f",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "## Intersection"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "21a70196",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "We are now ready to conduct an overlay analysis between these layers. We will create a new layer based postal code polygons that `intersect` with our Helsinki layer. We can use a method called `.overlay()` to conduct the overlay analysis between the given GeoDataFrame (`postal_areas`) and a second GeoDataFrame (`station_buffer`). With parameter `how` we can control how the overlay analysis is conducted. Possible values are `'intersection'`, `'union'`, `'symmetric_difference'`, `'difference'`, and `'identity'`. Let's start by doing an overlay using `\"intersection\"` as the overlay operation:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "44d5d909-b257-482e-a2ee-ea534f42d8d1",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "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>posti_alue</th>\n",
       "      <th>he_vakiy</th>\n",
       "      <th>index_right</th>\n",
       "      <th>density</th>\n",
       "      <th>name</th>\n",
       "      <th>id</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>00100</td>\n",
       "      <td>18284.0</td>\n",
       "      <td>0</td>\n",
       "      <td>7769.586237</td>\n",
       "      <td>Helsinki Railway station</td>\n",
       "      <td>0</td>\n",
       "      <td>POLYGON ((385573.62 6671699.801, 385612.659 66...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>00120</td>\n",
       "      <td>7108.0</td>\n",
       "      <td>0</td>\n",
       "      <td>17168.685515</td>\n",
       "      <td>Helsinki Railway station</td>\n",
       "      <td>0</td>\n",
       "      <td>POLYGON ((385279.612 6671123.567, 385255.478 6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>00130</td>\n",
       "      <td>1508.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3515.476578</td>\n",
       "      <td>Helsinki Railway station</td>\n",
       "      <td>0</td>\n",
       "      <td>POLYGON ((386176.826 6671111.888, 386039.154 6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>00140</td>\n",
       "      <td>7865.0</td>\n",
       "      <td>0</td>\n",
       "      <td>8440.281536</td>\n",
       "      <td>Helsinki Railway station</td>\n",
       "      <td>0</td>\n",
       "      <td>MULTIPOLYGON (((386552.849 6670283.51, 386528....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>00150</td>\n",
       "      <td>9496.0</td>\n",
       "      <td>0</td>\n",
       "      <td>6944.933965</td>\n",
       "      <td>Helsinki Railway station</td>\n",
       "      <td>0</td>\n",
       "      <td>MULTIPOLYGON (((384823.503 6669566.95, 384799....</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  posti_alue  he_vakiy  index_right       density                      name  \\\n",
       "0      00100   18284.0            0   7769.586237  Helsinki Railway station   \n",
       "1      00120    7108.0            0  17168.685515  Helsinki Railway station   \n",
       "2      00130    1508.0            0   3515.476578  Helsinki Railway station   \n",
       "3      00140    7865.0            0   8440.281536  Helsinki Railway station   \n",
       "4      00150    9496.0            0   6944.933965  Helsinki Railway station   \n",
       "\n",
       "   id                                           geometry  \n",
       "0   0  POLYGON ((385573.62 6671699.801, 385612.659 66...  \n",
       "1   0  POLYGON ((385279.612 6671123.567, 385255.478 6...  \n",
       "2   0  POLYGON ((386176.826 6671111.888, 386039.154 6...  \n",
       "3   0  MULTIPOLYGON (((386552.849 6670283.51, 386528....  \n",
       "4   0  MULTIPOLYGON (((384823.503 6669566.95, 384799....  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Intersection\n",
    "intersection = postal_areas.overlay(station_buffer, how=\"intersection\")\n",
    "intersection.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "50bf1b6b-4173-42f4-9d89-f257b5675f06",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(23, 7)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "intersection.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "88b28de4-1a9e-4fd9-8754-cb661bfe0703",
   "metadata": {},
   "source": [
    "As a result we got a new GeoDataFrame that includes 23 postal code areas that intersected with the `station_buffer`. As we can see, due to the overlay operation, the dataset contains the attributes from both input layers, i.e. it works in a bit similar manner as `sjoin()` demonstrated in Chapter 6.7. To make it easier to understand how different vector overlay operations work, let's create an easy helper function called `plot_vector_overlay()` that creates a comparison map based on the results before and after the overlay operation. To do this, we use `matplotlib` library and create a subplot with 2 separate plots:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "03c8c1b5-07b1-47a5-9284-3b77bb1b9c29",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "def plot_vector_overlay(gdf1, gdf2, result, title):\n",
    "    \"\"\"\n",
    "    Creates two maps next to each other based on `gdf1`, `gdf2` and the\n",
    "    `result` GeoDataFrames.\n",
    "    \"\"\"\n",
    "\n",
    "    fig, (ax1, ax2) = plt.subplots(nrows=1, ncols=2, figsize=(8, 5))\n",
    "\n",
    "    ax1 = gdf1.plot(ax=ax1)\n",
    "    ax1 = gdf2.plot(ax=ax1, color=\"red\", alpha=0.3)\n",
    "\n",
    "    result.plot(ax=ax2)\n",
    "\n",
    "    # Fetch bounds and apply to axis 2\n",
    "    xmin, ymin, xmax, ymax = gdf1.total_bounds\n",
    "\n",
    "    ax2.set_xlim(xmin, xmax)\n",
    "    ax2.set_ylim(ymin, ymax)\n",
    "\n",
    "    fig.suptitle(title, fontsize=16)\n",
    "    # Add an arrow between the plots\n",
    "    fig.text(0.49, 0.5, \"⇨\", fontsize=30, color=\"red\")\n",
    "    ax1.axis(\"off\")\n",
    "    ax2.axis(\"off\")\n",
    "    plt.tight_layout()\n",
    "    return fig, ax1, ax2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6022dbb6-16c1-4264-bc68-0023cd8693c6",
   "metadata": {},
   "source": [
    "Now we can call this function to create a visualizaton that demonstrates how the intersection overlay operations behaves:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "574770c7-4887-4159-ad68-a0d89b5e3381",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1, ax2 = plot_vector_overlay(\n",
    "    gdf1=postal_areas, gdf2=station_buffer, result=intersection, title=\"Intersection\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ae7846c-db8c-4ecd-9730-96dc18a2328c",
   "metadata": {},
   "source": [
    "_**Figure 6.54**. Result after conducting vector overlay operation by intersecting the two layers._"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "37488138",
   "metadata": {},
   "source": [
    "As we can see, the `\"intersection\"` overlay operation keeps the postal code areas that intersect with the circle and keeps all those geometries in the result. Important thing to notice is that with `overlay()` the intersecting GeoDataFrame (`station_buffer`) will also modify the input geometries by cutting them in the border areas where they cross. This is one of the key differences between `.overlay()` and `sjoin()` methods as `sjoin()` will not modify the input geometries. As mentioned earlier, attribute data from both GeoDataFrames are kept from the features that are part of the result.  In the following, we will show one-by-one, how different overlay operations (i.e. union, difference, symmetric difference, identity) influence the results."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20a3ebbe-cda9-47a9-b2e4-44bb34945b30",
   "metadata": {},
   "source": [
    "## Union\n",
    "\n",
    "In a similar manner as with intersection, we can conduct overlay operation using `\"union\"` as below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "fa4c9e58-7cbe-4bde-bf79-54a627de5e3a",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Union\n",
    "union = postal_areas.overlay(station_buffer, how=\"union\")\n",
    "\n",
    "fig, ax1, ax2 = plot_vector_overlay(\n",
    "    gdf1=postal_areas, gdf2=station_buffer, result=union, title=\"Union\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2658ff2-81a4-46d5-baa0-f422a602a085",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "_**Figure 6.55**. Result after conducting vector overlay operation based on union._"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1b03a56e-aba7-4229-8109-35589d2f5834",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(42, 7)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "union.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82dfb395-b535-45f6-bf1b-f13217c53f09",
   "metadata": {},
   "source": [
    "When using `\"union\"` overlay operation, the geometries from both GeoDataFrames are kept in the result. As you can see, the number of rows has increased quite significantly from 30 to 42 rows. This happens because the postal code geometries are again modified by the `station_buffer` in the areas where the geometries cross each other: the postal code geometry is splitted in two in areas where the buffer geometry crosses the postal code geometry. Hence, this will increase the number of rows in the final output. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2577958a-caad-4583-b69c-e35fd66c45a7",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "question"
    ]
   },
   "source": [
    "#### Question 6.13\n",
    "\n",
    "Did you fully understand why the number of rows increase after doing the union overlay? If not, use the `.explore()` and investigate the geometries in areas where the postal code areas and the ring (border) of the buffer geometry cross each other. When you hover over the border, what happens with the attribute values?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b769bc35-2d99-4d3a-b8fc-8e0c60834a7f",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "remove_cell"
    ]
   },
   "outputs": [],
   "source": [
    "# Use this cell to enter your solution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "e3a04812-15d8-4eb0-8c77-0d3e1d225631",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-cell",
     "remove_book_cell"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "When hovering over the buffer geometry border, the attribute values in the table change. \n",
      "Inside the ring, the attributes of the Helsinki railway station are kept in the results, whereas outside of the ring \n",
      "the table does not include any data for the columns associated with the railway station.\n",
      "\n"
     ]
    },
    {
     "data": {
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       "    \n",
       "        &lt;script&gt;\n",
       "            L_NO_TOUCH = false;\n",
       "            L_DISABLE_3D = false;\n",
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       "\n",
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       "\n",
       "        \n",
       "    \n",
       "            var tile_layer_3130a1b6361c409c3eb674dfe8270134 = L.tileLayer(\n",
       "                &quot;https://tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
       "                {&quot;attribution&quot;: &quot;\\u0026copy; \\u003ca href=\\&quot;https://www.openstreetmap.org/copyright\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e contributors&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 19, &quot;maxZoom&quot;: 19, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
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       "    \n",
       "            tile_layer_3130a1b6361c409c3eb674dfe8270134.addTo(map_4e77cc5121c5d3b84fc0f96053b8fc20);\n",
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       "            map_4e77cc5121c5d3b84fc0f96053b8fc20.fitBounds(\n",
       "                [[60.099578323224954, 24.82886354951091], [60.21646738846887, 25.019393382237915]],\n",
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[[[24.915818637508604, 60.19544846086155], [24.91581863750861, 60.19544846086155], [24.917994575681444, 60.19483675989452], [24.915818637508604, 60.19544846086155]]]], &quot;type&quot;: &quot;MultiPolygon&quot;}, &quot;id&quot;: &quot;41&quot;, &quot;properties&quot;: {&quot;density&quot;: null, &quot;he_vakiy&quot;: null, &quot;id&quot;: 0.0, &quot;index_right&quot;: null, &quot;name&quot;: &quot;Helsinki Railway station&quot;, &quot;posti_alue&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
       "\n",
       "        \n",
       "    \n",
       "    geo_json_997b6ffec7a6e5eac78163849f82d01a.bindTooltip(\n",
       "    function(layer){\n",
       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
       "    \n",
       "    let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
       "    let fields = [&quot;posti_alue&quot;, &quot;he_vakiy&quot;, &quot;index_right&quot;, &quot;density&quot;, &quot;name&quot;, &quot;id&quot;];\n",
       "    let aliases = [&quot;posti_alue&quot;, &quot;he_vakiy&quot;, &quot;index_right&quot;, &quot;density&quot;, &quot;name&quot;, &quot;id&quot;];\n",
       "    let table = &#x27;&lt;table&gt;&#x27; +\n",
       "        String(\n",
       "        fields.map(\n",
       "        (v,i)=&gt;\n",
       "        `&lt;tr&gt;\n",
       "            &lt;th&gt;${aliases[i]}&lt;/th&gt;\n",
       "            \n",
       "            &lt;td&gt;${handleObject(layer.feature.properties[v])}&lt;/td&gt;\n",
       "        &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
       "    +&#x27;&lt;/table&gt;&#x27;;\n",
       "    div.innerHTML=table;\n",
       "    \n",
       "    return div\n",
       "    }\n",
       "    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
       "                     \n",
       "    \n",
       "            geo_json_997b6ffec7a6e5eac78163849f82d01a.addTo(map_4e77cc5121c5d3b84fc0f96053b8fc20);\n",
       "        \n",
       "&lt;/script&gt;\n",
       "&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x161de3d10>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Answer\n",
    "print(\n",
    "    \"\"\"\n",
    "When hovering over the buffer geometry border, the attribute values in the table change. \n",
    "Inside the ring, the attributes of the Helsinki railway station are kept in the results, whereas outside of the ring \n",
    "the table does not include any data for the columns associated with the railway station.\n",
    "\"\"\"\n",
    ")\n",
    "\n",
    "# Solution\n",
    "union.explore()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0edb91d6-8dc6-4a59-8041-5e18dd191125",
   "metadata": {},
   "source": [
    "## Difference and symmetric difference\n",
    "\n",
    "Sometimes it might be useful to focus extract geometries that area *outside* a given layer. This can be achieved by using the `.overlay()` with `\"difference\"` operator:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "895f156e-0c21-494a-8f8a-dca39d72a10e",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Difference\n",
    "difference = postal_areas.overlay(station_buffer, how=\"difference\")\n",
    "\n",
    "fig, ax1, ax2 = plot_vector_overlay(\n",
    "    gdf1=postal_areas, gdf2=station_buffer, result=difference, title=\"Difference\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fdd7c177-0ef4-4593-999c-a108b0800459",
   "metadata": {},
   "source": [
    "_**Figure 6.56**. Result after conducting vector overlay operation based on difference._"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "4d58365d-3c76-489b-b6f2-a2cb9a6f5729",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['posti_alue', 'he_vakiy', 'index_right', 'density', 'geometry'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "difference.columns.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "cbde933d-3697-48ba-91fe-d59332b84794",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(18, 5)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "difference.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a65d807-07cc-4b57-803b-8feffd20f94e",
   "metadata": {},
   "source": [
    "As can be seen from the results above, the `\"difference\"` will keep the postal code geometries that are outside of the buffer geometry (note we output `difference.columns.values` here to output only the column names). In terms of attributes, only the columns that are present in the source GeoDataFrame (i.e. `postal_areas`) are kept. \n",
    "\n",
    "The symmetric difference overlay operation is an interesting one. It will keep the geometries and attributes outside of the `station_buffer` layer, as well as create a geometry within the `station_buffer` that includes areas that are within the `station_buffer` ring but outside the `postal_areas` GeoDataFrame. I.e. in our case, it mostly contains water areas that surround the Helsinki city centre as shown below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "4f36e1c5-aafb-42d1-ba1a-c8c7514c5558",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Symmetric Difference\n",
    "symmetric_difference = postal_areas.overlay(station_buffer, how=\"symmetric_difference\")\n",
    "\n",
    "fig, ax1, ax2 = plot_vector_overlay(\n",
    "    gdf1=postal_areas,\n",
    "    gdf2=station_buffer,\n",
    "    result=symmetric_difference,\n",
    "    title=\"Symmetric Difference\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c7d6502-af4c-401a-8897-e04b4bb1b412",
   "metadata": {},
   "source": [
    "_**Figure 6.57**. Result after conducting vector overlay operation based on symmetric difference._"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f0234f7b-b29a-45f9-93b6-c00b279e8e0f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['posti_alue', 'he_vakiy', 'index_right', 'density', 'name', 'id',\n",
       "       'geometry'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "symmetric_difference.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "7ee4e5d1-2d04-49cf-ac7b-ae2920d22114",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(19, 7)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "symmetric_difference.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "1fa3d571-7ad6-41ed-bd3c-71df1430cf33",
   "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>posti_alue</th>\n",
       "      <th>he_vakiy</th>\n",
       "      <th>index_right</th>\n",
       "      <th>density</th>\n",
       "      <th>name</th>\n",
       "      <th>id</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>00520</td>\n",
       "      <td>7306.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5609.742526</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POLYGON ((385333.465 6675315.885, 385335.052 6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>00550</td>\n",
       "      <td>9464.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9829.492877</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POLYGON ((386285.241 6675258.417, 386164.283 6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>00570</td>\n",
       "      <td>3962.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2205.349757</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MULTIPOLYGON (((389839.918 6673030.501, 389808...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>00580</td>\n",
       "      <td>2727.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2109.697366</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POLYGON ((387366.285 6674940.194, 387550.714 6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Helsinki Railway station</td>\n",
       "      <td>0.0</td>\n",
       "      <td>MULTIPOLYGON (((383835.597 6669978.727, 383617...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   posti_alue  he_vakiy  index_right      density                      name  \\\n",
       "14      00520    7306.0          0.0  5609.742526                       NaN   \n",
       "15      00550    9464.0          0.0  9829.492877                       NaN   \n",
       "16      00570    3962.0          0.0  2205.349757                       NaN   \n",
       "17      00580    2727.0          0.0  2109.697366                       NaN   \n",
       "18        NaN       NaN          NaN          NaN  Helsinki Railway station   \n",
       "\n",
       "     id                                           geometry  \n",
       "14  NaN  POLYGON ((385333.465 6675315.885, 385335.052 6...  \n",
       "15  NaN  POLYGON ((386285.241 6675258.417, 386164.283 6...  \n",
       "16  NaN  MULTIPOLYGON (((389839.918 6673030.501, 389808...  \n",
       "17  NaN  POLYGON ((387366.285 6674940.194, 387550.714 6...  \n",
       "18  0.0  MULTIPOLYGON (((383835.597 6669978.727, 383617...  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "symmetric_difference.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "afccf136-a349-4172-838c-7d87bc741137",
   "metadata": {},
   "source": [
    "As can be seen from above, the table includes now the attributes from the `postal_areas` GeoDataFrame as well as the attributes from `station_buffer` in the last row of the resulting GeoDataFrame. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c11649f5-b8ee-4b43-b641-9a009a90069e",
   "metadata": {},
   "source": [
    "## Identity\n",
    "\n",
    "As a last overlay operation, we have the `\"identity\"` which computes a geometric intersection of the input features and identity features. The input features or portions thereof that overlap identity features will get the attributes of those identity features. The basic idea is very similar to `\"union\"` but in this case, the areas outside of `postal_areas` GeoDataFrame will not be filled with the `station_buffer` geometry as demonstrated below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "48a18dc1-ba58-45cf-a0b9-67bab384936f",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Identity\n",
    "identity = postal_areas.overlay(station_buffer, how=\"identity\")\n",
    "\n",
    "fig, ax1, ax2 = plot_vector_overlay(\n",
    "    gdf1=postal_areas, gdf2=station_buffer, result=identity, title=\"Identity\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b145e2e-6055-4459-a305-b11461772e0c",
   "metadata": {},
   "source": [
    "_**Figure 6.58**. Result after conducting vector overlay operation based on identity._"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "75396007-d5f1-401a-9541-7b5656da172f",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['posti_alue', 'he_vakiy', 'index_right', 'density', 'name', 'id',\n",
       "       'geometry'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "identity.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "4b35c45e-5f71-409c-b685-1a979c427fba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(41, 7)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "identity.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "c0988501-950e-4ce9-8387-2d6a0e467c68",
   "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>posti_alue</th>\n",
       "      <th>he_vakiy</th>\n",
       "      <th>index_right</th>\n",
       "      <th>density</th>\n",
       "      <th>name</th>\n",
       "      <th>id</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>00550</td>\n",
       "      <td>9464.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9829.492877</td>\n",
       "      <td>Helsinki Railway station</td>\n",
       "      <td>0.0</td>\n",
       "      <td>POLYGON ((387057.865 6674284.968, 387045.245 6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>00570</td>\n",
       "      <td>3962.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2205.349757</td>\n",
       "      <td>Helsinki Railway station</td>\n",
       "      <td>0.0</td>\n",
       "      <td>MULTIPOLYGON (((388536.474 6672959.818, 388512...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>00580</td>\n",
       "      <td>2727.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2109.697366</td>\n",
       "      <td>Helsinki Railway station</td>\n",
       "      <td>0.0</td>\n",
       "      <td>POLYGON ((387749.472 6673979.696, 387491.215 6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>00140</td>\n",
       "      <td>7865.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8440.281536</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POLYGON ((387352.067 6664714.928, 387339.366 6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>00150</td>\n",
       "      <td>9496.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6944.933965</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POLYGON ((384180.692 6668373.742, 384154.302 6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>00190</td>\n",
       "      <td>743.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>971.226183</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MULTIPOLYGON (((388259.682 6668460.022, 388233...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   posti_alue  he_vakiy  index_right      density                      name  \\\n",
       "20      00550    9464.0          0.0  9829.492877  Helsinki Railway station   \n",
       "21      00570    3962.0          0.0  2205.349757  Helsinki Railway station   \n",
       "22      00580    2727.0          0.0  2109.697366  Helsinki Railway station   \n",
       "23      00140    7865.0          0.0  8440.281536                       NaN   \n",
       "24      00150    9496.0          0.0  6944.933965                       NaN   \n",
       "25      00190     743.0          0.0   971.226183                       NaN   \n",
       "\n",
       "     id                                           geometry  \n",
       "20  0.0  POLYGON ((387057.865 6674284.968, 387045.245 6...  \n",
       "21  0.0  MULTIPOLYGON (((388536.474 6672959.818, 388512...  \n",
       "22  0.0  POLYGON ((387749.472 6673979.696, 387491.215 6...  \n",
       "23  NaN  POLYGON ((387352.067 6664714.928, 387339.366 6...  \n",
       "24  NaN  POLYGON ((384180.692 6668373.742, 384154.302 6...  \n",
       "25  NaN  MULTIPOLYGON (((388259.682 6668460.022, 388233...  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "identity.loc[20:25]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8bde7dc-fc81-4441-96bc-8b6fdee137b4",
   "metadata": {},
   "source": [
    "As can be seen from the results above, the output now includes attribute information from both GeoDataFrames and the geometries in the `postal_areas` are split into multiple parts in places where the `station_buffer` cuts them. However, the geometry of the `station_buffer` itself is not included at all in the results. "
   ]
  }
 ],
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