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    <title>topic Which spatial statistics tools make sense for state-level data? in Spatial Statistics Questions</title>
    <link>https://community.esri.com/t5/spatial-statistics-questions/which-spatial-statistics-tools-make-sense-for/m-p/1151009#M2521</link>
    <description>&lt;P&gt;Goal:&amp;nbsp; To use spatial statistics tools to learn more about overdose death rates in the contiguous 48 states.&lt;/P&gt;&lt;P&gt;Problem:&amp;nbsp; I'm not sure which tools I should use.&amp;nbsp; I don't have county-level data, just rates for the entire state.&lt;/P&gt;&lt;P&gt;Data:&amp;nbsp; Five years worth of death rates for each state and the District of Columbia.&amp;nbsp; I&amp;nbsp;also have state data pertaining to poverty, unemployment, that I can use as exploratory variables.&amp;nbsp;&lt;/P&gt;&lt;P&gt;What I've done: I've run spatial autocorrelation, exploratory regression, and I was going to do geographically weighted regression but decided against it because my sample size was too small.&amp;nbsp; I've been running these spatial statistics tools on the lower 48 U.S. states and DC for a selected year (49 observations).&amp;nbsp;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Any suggestions?&amp;nbsp; Flags?&amp;nbsp; Glaring issues?&amp;nbsp; Are there any tools or strategies that make sense in particular?&amp;nbsp; I already know that rates seem to be significantly worse in some states.&amp;nbsp; Just mapping the rates by year makes that evident.&lt;/P&gt;&lt;P&gt;Thanks!&lt;/P&gt;</description>
    <pubDate>Sat, 05 Mar 2022 18:49:57 GMT</pubDate>
    <dc:creator>monstera</dc:creator>
    <dc:date>2022-03-05T18:49:57Z</dc:date>
    <item>
      <title>Which spatial statistics tools make sense for state-level data?</title>
      <link>https://community.esri.com/t5/spatial-statistics-questions/which-spatial-statistics-tools-make-sense-for/m-p/1151009#M2521</link>
      <description>&lt;P&gt;Goal:&amp;nbsp; To use spatial statistics tools to learn more about overdose death rates in the contiguous 48 states.&lt;/P&gt;&lt;P&gt;Problem:&amp;nbsp; I'm not sure which tools I should use.&amp;nbsp; I don't have county-level data, just rates for the entire state.&lt;/P&gt;&lt;P&gt;Data:&amp;nbsp; Five years worth of death rates for each state and the District of Columbia.&amp;nbsp; I&amp;nbsp;also have state data pertaining to poverty, unemployment, that I can use as exploratory variables.&amp;nbsp;&lt;/P&gt;&lt;P&gt;What I've done: I've run spatial autocorrelation, exploratory regression, and I was going to do geographically weighted regression but decided against it because my sample size was too small.&amp;nbsp; I've been running these spatial statistics tools on the lower 48 U.S. states and DC for a selected year (49 observations).&amp;nbsp;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Any suggestions?&amp;nbsp; Flags?&amp;nbsp; Glaring issues?&amp;nbsp; Are there any tools or strategies that make sense in particular?&amp;nbsp; I already know that rates seem to be significantly worse in some states.&amp;nbsp; Just mapping the rates by year makes that evident.&lt;/P&gt;&lt;P&gt;Thanks!&lt;/P&gt;</description>
      <pubDate>Sat, 05 Mar 2022 18:49:57 GMT</pubDate>
      <guid>https://community.esri.com/t5/spatial-statistics-questions/which-spatial-statistics-tools-make-sense-for/m-p/1151009#M2521</guid>
      <dc:creator>monstera</dc:creator>
      <dc:date>2022-03-05T18:49:57Z</dc:date>
    </item>
    <item>
      <title>Re: Which spatial statistics tools make sense for state-level data?</title>
      <link>https://community.esri.com/t5/spatial-statistics-questions/which-spatial-statistics-tools-make-sense-for/m-p/1151043#M2522</link>
      <description>&lt;P&gt;Issues?&amp;nbsp; "Ecological Fallacy" always comes to mind when dealing with statistics at such a scale.&lt;/P&gt;</description>
      <pubDate>Sun, 06 Mar 2022 04:34:20 GMT</pubDate>
      <guid>https://community.esri.com/t5/spatial-statistics-questions/which-spatial-statistics-tools-make-sense-for/m-p/1151043#M2522</guid>
      <dc:creator>DanPatterson</dc:creator>
      <dc:date>2022-03-06T04:34:20Z</dc:date>
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