<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Standardize kernel density data? in ArcGIS Spatial Analyst Questions</title>
    <link>https://community.esri.com/t5/arcgis-spatial-analyst-questions/standardize-kernel-density-data/m-p/561099#M8118</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;SPAN&gt;Hi there,&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;I have transect survey data with animal counts that I successfully calculated kernel density for.&amp;nbsp; However, there are &amp;gt;20 transects total, and in some areas (not all), multiple transects were conducted.&amp;nbsp; Thus, the densities for these areas are inflated.&amp;nbsp; I would like to standardize my data for number of transects conducted within a certain cell.&amp;nbsp; &lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;I have pondered this and tried a few things.&amp;nbsp; First, I tried to extract the kernel density raster and join to the table with transect data.&amp;nbsp; However, this doesn't work as my original table has &amp;gt;18,000 points, and the raster extraction then tries to match to each point.&amp;nbsp; Is there a way to extract kernel densities and match to the metadata (e.g., transect name)?&amp;nbsp; I don't think so, given how kernels work...&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;My next thought was to calculate kernel densities for each individual transect (&amp;gt;20), and then try to calculate mean density for all transects within cells.&amp;nbsp; However, I got stuck with this, as the cell statistics only seem to allow input of two different rasters at a time.&amp;nbsp; &lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;I suppose I could calculate mean # animals/transect in advance, but each point is an individual location, and I would have to first bin the data into cells (say, 3-km), which I'm trying to avoid (unless anyone has advice on an easy way to do this!)...&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;Does anyone have any other ideas?&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;Thanks in advance...&lt;/SPAN&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 13 Dec 2010 16:27:40 GMT</pubDate>
    <dc:creator>ElizabethPhillips</dc:creator>
    <dc:date>2010-12-13T16:27:40Z</dc:date>
    <item>
      <title>Standardize kernel density data?</title>
      <link>https://community.esri.com/t5/arcgis-spatial-analyst-questions/standardize-kernel-density-data/m-p/561099#M8118</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;SPAN&gt;Hi there,&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;I have transect survey data with animal counts that I successfully calculated kernel density for.&amp;nbsp; However, there are &amp;gt;20 transects total, and in some areas (not all), multiple transects were conducted.&amp;nbsp; Thus, the densities for these areas are inflated.&amp;nbsp; I would like to standardize my data for number of transects conducted within a certain cell.&amp;nbsp; &lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;I have pondered this and tried a few things.&amp;nbsp; First, I tried to extract the kernel density raster and join to the table with transect data.&amp;nbsp; However, this doesn't work as my original table has &amp;gt;18,000 points, and the raster extraction then tries to match to each point.&amp;nbsp; Is there a way to extract kernel densities and match to the metadata (e.g., transect name)?&amp;nbsp; I don't think so, given how kernels work...&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;My next thought was to calculate kernel densities for each individual transect (&amp;gt;20), and then try to calculate mean density for all transects within cells.&amp;nbsp; However, I got stuck with this, as the cell statistics only seem to allow input of two different rasters at a time.&amp;nbsp; &lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;I suppose I could calculate mean # animals/transect in advance, but each point is an individual location, and I would have to first bin the data into cells (say, 3-km), which I'm trying to avoid (unless anyone has advice on an easy way to do this!)...&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;Does anyone have any other ideas?&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;Thanks in advance...&lt;/SPAN&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 13 Dec 2010 16:27:40 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-spatial-analyst-questions/standardize-kernel-density-data/m-p/561099#M8118</guid>
      <dc:creator>ElizabethPhillips</dc:creator>
      <dc:date>2010-12-13T16:27:40Z</dc:date>
    </item>
    <item>
      <title>Re: Standardize kernel density data?</title>
      <link>https://community.esri.com/t5/arcgis-spatial-analyst-questions/standardize-kernel-density-data/m-p/561100#M8119</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;SPAN&gt;Hi Elizabeth,&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;It has been a while since you posted your question.&amp;nbsp; I am in a similar situation, with road mortality data on one road over 4 years but with different survey efforts in each of the four years of my data set.&amp;nbsp; Did you figure out how to standardize kernel density layers?&amp;nbsp; I would like to add my layers together to find the worst road mortality locations over the four years, but I do not want to bias those locations toward the years with more survey efforts.&lt;/SPAN&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 18 Aug 2011 20:18:33 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-spatial-analyst-questions/standardize-kernel-density-data/m-p/561100#M8119</guid>
      <dc:creator>LynGarrah</dc:creator>
      <dc:date>2011-08-18T20:18:33Z</dc:date>
    </item>
  </channel>
</rss>

