<?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>China Map Data from AutoNavi Map</dc:title>
  <dc:title>R package cnmap version 0.1.2</dc:title>
  <dc:description>According to the codes and names of county-level and above administrative divisions released in 2022 by the Ministry of Civil Affairs of the People's Republic of China, the online vector map files were retrieved from the website (available at: &lt;http://datav.aliyun.com/portal/school/atlas/area_selector&gt;). This study was supported by the National Natural Science Foundation of China (NSFC, Grant No. 42205177).</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.3.0)</dc:relation>
  <dc:relation>Imports: sf, terra</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, ggplot2, tibble</dc:relation>
  <dc:creator>Panfeng Zhang &lt;zhangpf08@163.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Panfeng Zhang [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0001-6084-9231&gt;)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2026-02-27</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=cnmap</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.cnmap</dc:identifier>
</oai_dc:dc>