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      <alternateIdentifier system="https://doi.org">doi:10.6073/pasta/f54733ad85e8037fffc14820ef6f4bf6</alternateIdentifier>
      <title>R Code and Images for Developing a Spatial Concordance Coefficient at Harvard Forest 2010</title>
      <creator>
         <individualName>
            <givenName>Ronny</givenName>
            <surName>Vallejos</surName>
         </individualName>
         <userId directory="https://orcid.org">https://orcid.org/0000-0001-5519-0946</userId>
      </creator>
      <creator>
         <individualName>
            <givenName>Aaron</givenName>
            <surName>Ellison</surName>
         </individualName>
         <userId directory="https://orcid.org">https://orcid.org/0000-0003-4151-6081</userId>
      </creator>
      <creator>
         <individualName>
            <givenName>Andrew</givenName>
            <surName>Richardson</surName>
         </individualName>
         <userId directory="https://orcid.org">https://orcid.org/0000-0002-0148-6714</userId>
      </creator>
      <associatedParty>
         <individualName>
            <givenName>Javier</givenName>
            <surName>Perez</surName>
         </individualName>
         <role>Researcher</role>
      </associatedParty>
      <pubDate>2023</pubDate>
      <language>English</language>
      <abstract>
         <section>
            <title/>
            <para>Concordance correlation coefficients have been developed in a variety of different contexts. This problem has been widely addressed in a non-spatial context, but here we consider a coefficient that for a fixed spatial lag allows the comparison of two spatial sequences (e.g., images).  We define a spatial concordance coefficient for second-order stationary processes.</para>
         </section>
      </abstract>
      <keywordSet>
         <keyword>canopies</keyword>
         <keyword>imagery</keyword>
         <keyword>phenology</keyword>
         <keyword>spatial variability</keyword>
         <keywordThesaurus>LTER controlled vocabulary</keywordThesaurus>
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      <keywordSet>
         <keyword>primary production</keyword>
         <keywordThesaurus>LTER core area</keywordThesaurus>
      </keywordSet>
      <keywordSet>
         <keyword>Harvard Forest</keyword>
         <keyword>HFR</keyword>
         <keyword>LTER</keyword>
         <keyword>USA</keyword>
         <keywordThesaurus>HFR default</keywordThesaurus>
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      <intellectualRights>
         <section>
            <para>This dataset is released to the public under Creative Commons CC0 1.0 (No Rights Reserved). Please keep the dataset creators informed of any plans to use the dataset. Consultation with the original investigators is strongly encouraged. Publications and data products that make use of the dataset should include proper acknowledgement.</para>
         </section>
      </intellectualRights>
      <licensed>
         <licenseName>Creative Commons Zero v1.0 Universal</licenseName>
         <url>https://spdx.org/licenses/CC0-1.0.html</url>
         <identifier>CC0-1.0</identifier>
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            <url function="information">https://harvardforest.fas.harvard.edu/exist/apps/datasets/showData.html?id=hf322</url>
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      <coverage>
         <geographicCoverage>
            <geographicDescription>Prospect Hill Tract (Harvard Forest). Coordinates based on WGS84 datum.</geographicDescription>
            <boundingCoordinates>
               <westBoundingCoordinate>-72.20</westBoundingCoordinate>
               <eastBoundingCoordinate>-72.17</eastBoundingCoordinate>
               <northBoundingCoordinate>+42.55</northBoundingCoordinate>
               <southBoundingCoordinate>+42.53</southBoundingCoordinate>
               <boundingAltitudes>
                  <altitudeMinimum>280</altitudeMinimum>
                  <altitudeMaximum>420</altitudeMaximum>
                  <altitudeUnits>meter</altitudeUnits>
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         <temporalCoverage>
            <rangeOfDates>
               <beginDate>
                  <calendarDate>2010</calendarDate>
               </beginDate>
               <endDate>
                  <calendarDate>2010</calendarDate>
               </endDate>
            </rangeOfDates>
         </temporalCoverage>
         <taxonomicCoverage>
            <taxonomicClassification>
               <taxonRankName>genus</taxonRankName>
               <taxonRankValue>Pinus</taxonRankValue>
               <taxonomicClassification>
                  <taxonRankName>species</taxonRankName>
                  <taxonRankValue>strobus</taxonRankValue>
                  <commonName>white pine</commonName>
               </taxonomicClassification>
            </taxonomicClassification>
            <taxonomicClassification>
               <taxonRankName>genus</taxonRankName>
               <taxonRankValue>Quercus</taxonRankValue>
               <taxonomicClassification>
                  <taxonRankName>species</taxonRankName>
                  <taxonRankValue>rubra</taxonRankValue>
                  <commonName>red oak</commonName>
               </taxonomicClassification>
            </taxonomicClassification>
         </taxonomicCoverage>
      </coverage>
      <maintenance>
         <description>
            <para>complete</para>
         </description>
      </maintenance>
      <contact scope="document">
         <positionName>Information Manager</positionName>
         <organizationName>Harvard Forest</organizationName>
         <address scope="document">
            <deliveryPoint>324 North Main Street</deliveryPoint>
            <city>Petersham</city>
            <administrativeArea>MA</administrativeArea>
            <postalCode>01366</postalCode>
            <country>USA</country>
         </address>
         <phone phonetype="voice">(978) 724-3302</phone>
         <electronicMailAddress>hf-im@lists.fas.harvard.edu</electronicMailAddress>
      </contact>
      <publisher scope="document">
         <organizationName>Harvard Forest</organizationName>
         <address scope="document">
            <deliveryPoint>324 North Main Street</deliveryPoint>
            <city>Petersham</city>
            <administrativeArea>MA</administrativeArea>
            <postalCode>01366</postalCode>
            <country>USA</country>
         </address>
         <phone phonetype="voice">(978) 724-3302</phone>
         <phone phonetype="fax">(978) 724-3595</phone>
         <onlineUrl>https://harvardforest.fas.harvard.edu</onlineUrl>
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      <methods>
         <methodStep>
            <description>
               <section>
                  <title/>
                  <para>The proposed spatial concordance coefficient was explored for the bivariate Mat\'ern and Wendland covariance functions. The asymptotic normality of a sample version of the spatial concordance coefficient for an increasing domain sampling framework was established for the Wendland covariance function. Finally, we developed a local approach for estimating the concordance that uses local spatial models on non-overlapping windows.</para>
                  <para>As an illustrative example, we applied this methodology to two similar images of a deciduous forest canopy at Harvard Forest. The images were recorded with different cameras but similar fields-of-view and within minutes of each other. Our analysis showed that the local approach helped to explain a percentage of the non-spatial concordance and to learn about the decaying of it as a function of the spatial lag.</para>
               </section>
            </description>
         </methodStep>
      </methods>
      <project>
         <title>Harvard Forest Long-Term Ecological Research</title>
         <personnel>
            <organizationName>Harvard Forest</organizationName>
            <address>
               <deliveryPoint>324 North Main Street</deliveryPoint>
               <city>Petersham</city>
               <administrativeArea>MA</administrativeArea>
               <postalCode>01366</postalCode>
               <country>USA</country>
            </address>
            <phone phonetype="voice">(978) 724-3302</phone>
            <phone phonetype="fax">(978) 724-3595</phone>
            <onlineUrl>https://harvardforest.fas.harvard.edu</onlineUrl>
            <userId directory="https://ror.org">https://ror.org/059cpzx98</userId>
            <role>pointOfContact</role>
         </personnel>
         <abstract>The Harvard Forest Long-Term Ecological Research (LTER) program examines ecological dynamics in the New England region resulting from natural disturbances, environmental change, and human impacts.</abstract>
         <funding>National Science Foundation LTER grants: DEB-8811764, DEB-9411975, DEB-0080592, DEB-0620443, DEB-1237491, DEB-1832210.</funding>
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         <additionalClassifications>
            <researchTopic>informatics</researchTopic>
            <studyType>short-term measurement</studyType>
            <studyType>modeling</studyType>
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      <metadata>
         <additionalLinks>
            <url name="PhenoCam Images and Canopy Phenology at Harvard Forest since 2008">https://harvardforest.fas.harvard.edu/exist/apps/datasets/showData.html?id=hf158</url>
            <url name="Canopy Phenology and Greenness Indices at 13 Sites across North America 2003-2012">https://harvardforest.fas.harvard.edu/exist/apps/datasets/showData.html?id=hf215</url>
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