<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Analysing Landscape Composition and Structure at Multiple Scales</dc:title>
  <dc:title>R package LandComp version 0.0.5</dc:title>
  <dc:description>Changes of landscape diversity and structure can be detected
    soon if relying on landscape class combinations and analysing patterns
    at multiple scales. 'LandComp' provides such an opportunity, based on
    Juhász-Nagy's functions (Juhász-Nagy P, Podani J 1983
    &lt;doi:10.1007/BF00129432&gt;). Functions can handle multilayered data.
    Requirements of the input: binary data contained by a regular square
    or hexagonal grid, and the grid should have projected coordinates.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10)</dc:relation>
  <dc:relation>Imports: future, future.apply, sf</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, testthat</dc:relation>
  <dc:creator>Krisztina Dóra Konrád &lt;konrad.krisztina@ecolres.hu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Krisztina Dóra Konrád [aut, cre, cph] (ORCID:
    &lt;https://orcid.org/0000-0002-4414-8766&gt;),
  Ákos Bede-Fazekas [aut, ths, cph] (ORCID:
    &lt;https://orcid.org/0000-0002-2905-338X&gt;),
  Sándor Bartha [cph] (ORCID: &lt;https://orcid.org/0000-0001-6331-7521&gt;),
  Imelda Somodi [ccp, ths, cph] (ORCID:
    &lt;https://orcid.org/0000-0002-6207-3796&gt;)</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=LandComp/LICENSE)</dc:rights>
  <dc:date>2024-02-06</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=LandComp</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.LandComp</dc:identifier>
  <dc:language>En</dc:language>
</oai_dc:dc>
