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    <title>PyPI recent updates for ecospat</title>
    <link>https://pypi.org/project/ecospat/</link>
    <description>Recent updates to the Python Package Index for ecospat</description>
    <language>en</language>    <item>
      <title>1.1.0</title>
      <link>https://pypi.org/project/ecospat/1.1.0/</link>
      <description>A python package that uses GBIF data to categorize the range edges of species through time to understand patterns of range movement, population dynamics, and individual persistence.</description>
<author>anytko@vols.utk.edu</author>      <pubDate>Sun, 07 Sep 2025 01:23:02 GMT</pubDate>
    </item>    <item>
      <title>1.0.1</title>
      <link>https://pypi.org/project/ecospat/1.0.1/</link>
      <description>A python package that uses GBIF data to categorize the range edges of species through time to understand patterns of range movement, population dynamics, and individual persistence.</description>
<author>anytko@vols.utk.edu</author>      <pubDate>Tue, 02 Sep 2025 21:12:03 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/ecospat/1.0.0/</link>
      <description>A python package that uses GBIF data to categorize the range edges of species through time to understand patterns of range movement, population dynamics, and individual persistence.</description>
<author>anytko@vols.utk.edu</author>      <pubDate>Tue, 02 Sep 2025 14:35:06 GMT</pubDate>
    </item>    <item>
      <title>0.0.2</title>
      <link>https://pypi.org/project/ecospat/0.0.2/</link>
      <description>A python package to o characterize the range dynamics and shifts of North American tree species.</description>
<author>anytko@vols.utk.edu</author>      <pubDate>Wed, 14 May 2025 16:18:55 GMT</pubDate>
    </item>    <item>
      <title>0.0.1</title>
      <link>https://pypi.org/project/ecospat/0.0.1/</link>
      <description>A python package to o characterize the range dynamics and shifts of North American tree species.</description>
<author>anytko@vols.utk.edu</author>      <pubDate>Tue, 29 Apr 2025 20:32:39 GMT</pubDate>
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