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2 changes: 1 addition & 1 deletion .nojekyll
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848b827b
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2 changes: 1 addition & 1 deletion analysis/bülach.html
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Expand Up @@ -694,7 +694,7 @@ <h3 class="anchored" data-anchor-id="how-many-clusters">How many clusters?</h3>
<div id="cell-82" class="cell">
<div class="sourceCode cell-code" id="cb61"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb61-1"><a href="#cb61-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Add BUE081</span></span>
<span id="cb61-2"><a href="#cb61-2" aria-hidden="true" tabindex="-1"></a><span class="co"># Create new point geometries with the desired coordinates</span></span>
<span id="cb61-3"><a href="#cb61-3" aria-hidden="true" tabindex="-1"></a>bue081 <span class="op">=</span> Point(<span class="fl">8.55892</span>, <span class="fl">47.43086</span>) <span class="co"># (East, North)</span></span>
<span id="cb61-3"><a href="#cb61-3" aria-hidden="true" tabindex="-1"></a>bue081 <span class="op">=</span> Point(<span class="fl">8.53595</span>, <span class="fl">47.52424</span>) <span class="co"># (East, North)</span></span>
<span id="cb61-4"><a href="#cb61-4" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb61-5"><a href="#cb61-5" aria-hidden="true" tabindex="-1"></a><span class="co"># Create a new GeoDataFrame for the point, adding the properties (like 'ID')</span></span>
<span id="cb61-6"><a href="#cb61-6" aria-hidden="true" tabindex="-1"></a>maxvogt_item <span class="op">=</span> geopandas.GeoDataFrame(</span>
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2 changes: 1 addition & 1 deletion search.json
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Expand Up @@ -2607,7 +2607,7 @@
"href": "analysis/bülach.html#clustering",
"title": "maxvogt-analysis: Bülach",
"section": "Clustering",
"text": "Clustering\nStandardize values before clustering.\n\nstandardized = (percentiles_joined - percentiles_joined.mean()) / percentiles_joined.std()\n\n\nstandardized\n\n\nHow many clusters?\n\ncgram = Clustergram(range(1, 12), n_init=10, random_state=0)\ncgram.fit(standardized.fillna(0))\n\n\nshow(cgram.bokeh())\n\n\ncgram.labels.head()\n\n\nmerged[\"cluster\"] = cgram.labels[8].values\n\n\nurban_types = buildings[[\"geometry\", \"uID\"]].merge(merged[[\"uID\", \"cluster\"]], on=\"uID\")\n\n\nurban_types.explore(\"cluster\", categorical=True, prefer_canvas=True, tiles=\"CartoDB Positron\", tooltip=False)\n\n\n# Add BUE081\n# Create new point geometries with the desired coordinates\nbue081 = Point(8.55892, 47.43086) # (East, North)\n\n# Create a new GeoDataFrame for the point, adding the properties (like 'ID')\nmaxvogt_item = geopandas.GeoDataFrame(\n {\n 'uID': ['bue081'],\n 'name': ['Remote Control Center Service Building'],\n 'constructed': ['1980']\n },\n geometry=[bue081],\n crs='EPSG:4326'\n)\n\n# Convert to CH coordinate system\nmaxvogt_item = maxvogt_item.to_crs(local_crs)\n\n# Append the new feature to the existing GeoDataFrame\nurban_types = pandas.concat([urban_types, maxvogt_item])"
"text": "Clustering\nStandardize values before clustering.\n\nstandardized = (percentiles_joined - percentiles_joined.mean()) / percentiles_joined.std()\n\n\nstandardized\n\n\nHow many clusters?\n\ncgram = Clustergram(range(1, 12), n_init=10, random_state=0)\ncgram.fit(standardized.fillna(0))\n\n\nshow(cgram.bokeh())\n\n\ncgram.labels.head()\n\n\nmerged[\"cluster\"] = cgram.labels[8].values\n\n\nurban_types = buildings[[\"geometry\", \"uID\"]].merge(merged[[\"uID\", \"cluster\"]], on=\"uID\")\n\n\nurban_types.explore(\"cluster\", categorical=True, prefer_canvas=True, tiles=\"CartoDB Positron\", tooltip=False)\n\n\n# Add BUE081\n# Create new point geometries with the desired coordinates\nbue081 = Point(8.53595, 47.52424) # (East, North)\n\n# Create a new GeoDataFrame for the point, adding the properties (like 'ID')\nmaxvogt_item = geopandas.GeoDataFrame(\n {\n 'uID': ['bue081'],\n 'name': ['Remote Control Center Service Building'],\n 'constructed': ['1980']\n },\n geometry=[bue081],\n crs='EPSG:4326'\n)\n\n# Convert to CH coordinate system\nmaxvogt_item = maxvogt_item.to_crs(local_crs)\n\n# Append the new feature to the existing GeoDataFrame\nurban_types = pandas.concat([urban_types, maxvogt_item])"
},
{
"objectID": "analysis/bülach.html#export",
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140 changes: 70 additions & 70 deletions sitemap.xml
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<lastmod>2024-10-03T10:56:56.822Z</lastmod>
<lastmod>2024-10-07T16:48:05.305Z</lastmod>
</url>
</urlset>

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