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    <title>topic Re: How to handle discrete (count) data as dependent variable in Geographically Weighted Regression? in Spatial Statistics Questions</title>
    <link>https://community.esri.com/t5/spatial-statistics-questions/how-to-handle-discrete-count-data-as-dependent/m-p/1096279#M2479</link>
    <description>&lt;P&gt;&lt;A href="https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-statistics/how-geographicallyweightedregression-works.htm" target="_blank"&gt;How Geographically Weighted Regression (GWR) works—ArcGIS Pro | Documentation&lt;/A&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;are you planning to use a Poisson (Count) Model type?&lt;/P&gt;&lt;P&gt;More suggestions and restrictions are listed in the link above&lt;/P&gt;</description>
    <pubDate>Wed, 08 Sep 2021 09:40:44 GMT</pubDate>
    <dc:creator>DanPatterson</dc:creator>
    <dc:date>2021-09-08T09:40:44Z</dc:date>
    <item>
      <title>How to handle discrete (count) data as dependent variable in Geographically Weighted Regression?</title>
      <link>https://community.esri.com/t5/spatial-statistics-questions/how-to-handle-discrete-count-data-as-dependent/m-p/1096261#M2478</link>
      <description>&lt;P&gt;This may look a bit familiar but I am not sure about a few things.&lt;/P&gt;&lt;P&gt;I want to investigate the possible relationship between crime incidents and some environmental variables such as the:&lt;/P&gt;&lt;P&gt;Distance to roads, distance to residential areas, land use and population density. Note that the Dependent variable is&amp;nbsp; a count/discrete data (crime incident points) and all the explanatory variables are rasters and&amp;nbsp; continuous variables (land use is categorical, which I intend to include using the dummy variable route).&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;1. I intend to convert all the rasters including the land use raster to points. Is this really okay?&amp;nbsp;&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;2. Can I use the raw crime data (without aggregating to a polygon such as fishnet, hexagon, etc) in Geographically Weighted Regression (GWR) to assess the relationship as explained above. Or must I aggregate into some kind of polygon for it to work?&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;&lt;FONT face="inherit"&gt;3. I was &lt;/FONT&gt;also&lt;FONT face="inherit"&gt;&amp;nbsp;looking at Forest-based classification... what do you think?&lt;/FONT&gt;&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;FONT face="inherit"&gt;Kindly offer your thoughts, please.&lt;/FONT&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 08 Sep 2021 08:01:51 GMT</pubDate>
      <guid>https://community.esri.com/t5/spatial-statistics-questions/how-to-handle-discrete-count-data-as-dependent/m-p/1096261#M2478</guid>
      <dc:creator>Elijah</dc:creator>
      <dc:date>2021-09-08T08:01:51Z</dc:date>
    </item>
    <item>
      <title>Re: How to handle discrete (count) data as dependent variable in Geographically Weighted Regression?</title>
      <link>https://community.esri.com/t5/spatial-statistics-questions/how-to-handle-discrete-count-data-as-dependent/m-p/1096279#M2479</link>
      <description>&lt;P&gt;&lt;A href="https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-statistics/how-geographicallyweightedregression-works.htm" target="_blank"&gt;How Geographically Weighted Regression (GWR) works—ArcGIS Pro | Documentation&lt;/A&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;are you planning to use a Poisson (Count) Model type?&lt;/P&gt;&lt;P&gt;More suggestions and restrictions are listed in the link above&lt;/P&gt;</description>
      <pubDate>Wed, 08 Sep 2021 09:40:44 GMT</pubDate>
      <guid>https://community.esri.com/t5/spatial-statistics-questions/how-to-handle-discrete-count-data-as-dependent/m-p/1096279#M2479</guid>
      <dc:creator>DanPatterson</dc:creator>
      <dc:date>2021-09-08T09:40:44Z</dc:date>
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