<?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 GWR Null Values in Spatial Statistics Questions</title>
    <link>https://community.esri.com/t5/spatial-statistics-questions/gwr-null-values/m-p/378659#M1231</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;SPAN&gt;I'm currently trying to run some GWR analyses in ArcGIS 10.0. I have four environmental variables for my dependant variable (species richness).&lt;/SPAN&gt;&lt;BR /&gt;&lt;SPAN&gt;The relationships I'm running are not necessarily linear, so I have created second order polynomials to explain the variance for two of the environmental variables. This clears up a lot of the explained variance in OLS and GWR when all the variables are combined. However, I want to look at how the R2 and coefficients change for each of the individual variables at a very local scale. Three of the GWR and environmental variables work fine, but for temperature (second order polynomial) at a fine resolution, many of the cells contain null (or infinity) values. &lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;I have read several discussion topics on this, which highlight the issue of multicollinearity in the environmental dataset. I get this, and the data does appear to perhaps be locally clustered. From reading these discussions, the two methods suggested to overcome this by creating new variables 1) mean - variable value 2) create a new range variable, have not solved my issue.&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;I was wondering if anyone had any advice on how to overcome this issue?&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;Cheers&lt;/SPAN&gt;&lt;BR /&gt;&lt;SPAN&gt;Paul&lt;/SPAN&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Thu, 03 May 2012 18:41:23 GMT</pubDate>
    <dc:creator>PaulHolloway</dc:creator>
    <dc:date>2012-05-03T18:41:23Z</dc:date>
    <item>
      <title>GWR Null Values</title>
      <link>https://community.esri.com/t5/spatial-statistics-questions/gwr-null-values/m-p/378659#M1231</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;SPAN&gt;I'm currently trying to run some GWR analyses in ArcGIS 10.0. I have four environmental variables for my dependant variable (species richness).&lt;/SPAN&gt;&lt;BR /&gt;&lt;SPAN&gt;The relationships I'm running are not necessarily linear, so I have created second order polynomials to explain the variance for two of the environmental variables. This clears up a lot of the explained variance in OLS and GWR when all the variables are combined. However, I want to look at how the R2 and coefficients change for each of the individual variables at a very local scale. Three of the GWR and environmental variables work fine, but for temperature (second order polynomial) at a fine resolution, many of the cells contain null (or infinity) values. &lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;I have read several discussion topics on this, which highlight the issue of multicollinearity in the environmental dataset. I get this, and the data does appear to perhaps be locally clustered. From reading these discussions, the two methods suggested to overcome this by creating new variables 1) mean - variable value 2) create a new range variable, have not solved my issue.&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;I was wondering if anyone had any advice on how to overcome this issue?&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;Cheers&lt;/SPAN&gt;&lt;BR /&gt;&lt;SPAN&gt;Paul&lt;/SPAN&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 03 May 2012 18:41:23 GMT</pubDate>
      <guid>https://community.esri.com/t5/spatial-statistics-questions/gwr-null-values/m-p/378659#M1231</guid>
      <dc:creator>PaulHolloway</dc:creator>
      <dc:date>2012-05-03T18:41:23Z</dc:date>
    </item>
  </channel>
</rss>

