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    <title>topic superimposing vector and raster data in Python Questions</title>
    <link>https://community.esri.com/t5/python-questions/superimposing-vector-and-raster-data/m-p/422004#M33162</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;SPAN&gt;I have created a Python code that uses: &lt;/SPAN&gt;&lt;BR /&gt;&lt;SPAN&gt;a. a grid file of water depth values in a region (Every cell is 10x10 m) and &lt;/SPAN&gt;&lt;BR /&gt;&lt;SPAN&gt;b. a polygon shapefile of land use information&amp;nbsp; &lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;Generally the code reads the depth values in every grid cell and according to the land use of each cell performs several calculations&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;And now here comes the problem:&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;At first I made the assumption that the land use found in the center of every grid cell represents the land use of the whole cell. &lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;But I am wondering whether a big error takes place in cells which cover two different land use polygons.&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;Is it worthy to find a way to calculate the irregular areas that come up in those grid cells, which ???carry??? the same landuse information? Or I should only minimize the dimensions of every grid cell (to 5x5 for example), minimizing in this way the error?&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;Thank you very much for your time!&lt;/SPAN&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 10 Dec 2012 10:40:47 GMT</pubDate>
    <dc:creator>irinivozinaki</dc:creator>
    <dc:date>2012-12-10T10:40:47Z</dc:date>
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      <title>superimposing vector and raster data</title>
      <link>https://community.esri.com/t5/python-questions/superimposing-vector-and-raster-data/m-p/422004#M33162</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;SPAN&gt;I have created a Python code that uses: &lt;/SPAN&gt;&lt;BR /&gt;&lt;SPAN&gt;a. a grid file of water depth values in a region (Every cell is 10x10 m) and &lt;/SPAN&gt;&lt;BR /&gt;&lt;SPAN&gt;b. a polygon shapefile of land use information&amp;nbsp; &lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;Generally the code reads the depth values in every grid cell and according to the land use of each cell performs several calculations&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;And now here comes the problem:&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;At first I made the assumption that the land use found in the center of every grid cell represents the land use of the whole cell. &lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;But I am wondering whether a big error takes place in cells which cover two different land use polygons.&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;Is it worthy to find a way to calculate the irregular areas that come up in those grid cells, which ???carry??? the same landuse information? Or I should only minimize the dimensions of every grid cell (to 5x5 for example), minimizing in this way the error?&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;Thank you very much for your time!&lt;/SPAN&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 10 Dec 2012 10:40:47 GMT</pubDate>
      <guid>https://community.esri.com/t5/python-questions/superimposing-vector-and-raster-data/m-p/422004#M33162</guid>
      <dc:creator>irinivozinaki</dc:creator>
      <dc:date>2012-12-10T10:40:47Z</dc:date>
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