<?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>Calculate Distance to Features</dc:title>
  <dc:title>R package distanceto version 0.0.3</dc:title>
  <dc:description>Calculates distances from point locations to features.
    The usual approach for eg. resource selection function analyses is to
    generate a complete distance to features surface then sample it with your 
    observed and random points. Since these raster based approaches can be
    pretty costly with large areas, and often lead to memory issues in R, 
    the distanceto package opts to compute these distances using
    efficient, vector based approaches. As a helper, there's a decidedly 
    low-res raster based approach for visually inspecting your region's 
    distance surface. But the workhorse is distance_to.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: sf, nabor, geodist</dc:relation>
  <dc:relation>Suggests: fasterize, knitr, rmarkdown, raster, tinytest, lwgeom</dc:relation>
  <dc:creator>Alec L. Robitaille &lt;robit.alec@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Alec L. Robitaille [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-4706-1762&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2023-06-01</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=distanceto</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.distanceto</dc:identifier>
</oai_dc:dc>
