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  "Title": "Simple Tools to Compute Landscape Connectivity Metrics",
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  "Authors@R": "c(\nperson(\"Frederico\", \"Mestre\", email = \"mestre.frederico@gmail.com\", role = c(\"aut\",\"cre\")),\nperson(\"Bruno\", \"Silva\", email = \"bmsasilva@gmail.com\", role = \"aut\"),\nperson(\"Benjamin\", \"Branoff\", email = \"branoff.benjamin@epa.gov\", role = \"ctb\"))",
  "Description": "Provides functions to upload vectorial data and derive\nlandscape connectivity metrics in habitat or matrix systems.\nAdditionally, includes an approach to assess individual patch\ncontribution to the overall landscape connectivity, enabling\nthe prioritization of habitat patches. The computation of\nlandscape connectivity and patch importance are very useful in\nLandscape Ecology research. The metrics available are: number\nof components, number of links, size of the largest component,\nmean size of components, class coincidence probability,\nlandscape coincidence probability, characteristic path length,\nexpected cluster size, area-weighted flux and integral index of\nconnectivity. Pascual-Hortal, L., and Saura, S. (2006)\n<doi:10.1007/s10980-006-0013-z> Urban, D., and Keitt, T. (2001)\n<doi:10.2307/2679983> Laita, A., Kotiaho, J., Monkkonen, M.\n(2011) <doi:10.1007/s10980-011-9620-4>.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
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  "Date/Publication": "2024-03-09 02:38:16 UTC",
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