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Update number of shared categories, reflow attributions section.
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font-size: 14px;
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}
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.conf-table th, .conf-table td {
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.conf-table th,
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.conf-table td {
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padding: 8px 12px;
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}
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@@ -336,7 +337,7 @@ <h2>The Conflation Process</h2>
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</p>
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<p>
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<strong>Taxonomy normalization:</strong> Each source uses its own
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category system. OpenPOIs maps all three to a shared set of ~50 labels
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category system. OpenPOIs maps all three to a shared set of ~100 labels
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(e.g., Cafe, Bank, Pharmacy) using manually curated crosswalks. This
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shared taxonomy is used both for filtering in the web map and to set
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per-category match distances. See the full
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</thead>
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<tbody>
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<tr>
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<td><div class="conf-swatch" style="background:#d73027;"></div></td>
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<td>
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<div class="conf-swatch" style="background:#d73027;"></div>
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</td>
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<td>Low</td>
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<td>&lt; 30%</td>
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<td>Typically included in a single data source with low confidence</td>
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</tr>
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<tr>
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<td><div class="conf-swatch" style="background:#fee08b;"></div></td>
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<td>
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<div class="conf-swatch" style="background:#fee08b;"></div>
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</td>
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<td>Medium</td>
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<td>30% – 70%</td>
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<td>Typically included in multiple data sources with low confidence, or a single data source with medium-high confidence</td>
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<td>Typically included in multiple data sources with low confidence, or a single data source with medium-high
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confidence</td>
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</tr>
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<tr>
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<td><div class="conf-swatch" style="background:#a8c176;"></div></td>
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<td>
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<div class="conf-swatch" style="background:#a8c176;"></div>
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</td>
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<td>High</td>
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<td>70% – 90%</td>
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<td>Typically included in multiple data sources with medium confidence, or a single data source with high confidence</td>
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<td>Typically included in multiple data sources with medium confidence, or a single data source with high
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confidence</td>
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</tr>
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<tr>
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<td><div class="conf-swatch" style="background:#1a9850;"></div></td>
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<td>
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<div class="conf-swatch" style="background:#1a9850;"></div>
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</td>
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<td>Very high</td>
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<td>&gt; 90%</td>
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<td>Typically included in multiple data sources with high confidence</td>
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<h2>Data Access &amp; Licensing</h2>
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<p>
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OpenStreetMap data is distributed under the
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<a href="https://opendatacommons.org/licenses/odbl/" target="_blank" rel="noopener noreferrer">
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Open Database License (ODbL)</a>.
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Because the conflated dataset incorporates OpenStreetMap, the combination
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is also covered by ODbL. You are free to copy, distribute, and use the
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data, provided that you attribute OpenStreetMap contributors and share
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any derivative databases under the same license.
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The raw snapshot and conflated Parquet files are publicly hosted on
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<a href="https://source.coop/henryspatialanalysis/openpois" target="_blank" rel="noopener noreferrer">Source
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Cooperative</a> and can be queried directly with pyarrow, DuckDB, or any tool that reads HTTPS Parquet.
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</p>
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<p>
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The raw snapshot and conflated Parquet files are publicly hosted on
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<a href="https://source.coop/henryspatialanalysis/openpois" target="_blank"
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rel="noopener noreferrer">Source Cooperative</a> and can be queried
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directly with pyarrow, DuckDB, or any tool that reads HTTPS Parquet.
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The OpenPOIs dataset is released under the <a href="https://opendatacommons.org/licenses/odbl/">Open Database
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License (ODbL)</a>. Any public use must credit OpenStreetMap contributors, the Overture Maps Foundation,
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and OpenPOIs. Any derivative database must be shared under the same license.
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</p>
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<p>
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See the <a href="https://www.openstreetmap.org/copyright">OpenStreetMap copyright</a>
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and <a href="https://docs.overturemaps.org/attribution/">Overture Maps attribution</a>
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pages for more details about upstream attribution requirements.
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</p>
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</p>
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<h2>Python API Documentation</h2>
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<p>
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The <code>openpois</code> Python package provides modules for

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