Automatic open data acquisition from resources of IGN ('Institut National de Information Geographique et forestiere') (<https://www.ign.fr/>). Available datasets include various types of raster and vector data, such as digital elevation models, state borders, spatial databases, cadastral parcels, and more. There also access to point clouds data ('LIDAR') and specifics API (<https://apicarto.ign.fr/api/doc/>).
Version: 0.3.3 Depends: R (≥ 4.1.0) Imports: archive, dplyr, jsonlite, httr2 (≥ 1.1.0), methods, sf (≥ 1.0-7), terra, xml2, yyjsonr Suggests: covr, ggplot2, httptest2, knitr, rmarkdown, testthat (≥ 3.0.0), tmap (≥ 4.0.0) Published: 2025-03-28 DOI: 10.32614/CRAN.package.happign Author: Paul Carteron [aut, cre] Maintainer: Paul Carteron <carteronpaul at gmail.com> BugReports: https://github.com/paul-carteron/happign/issues License: GPL (≥ 3) URL: https://github.com/paul-carteron, https://paul-carteron.github.io/happign/ NeedsCompilation: no SystemRequirements: C++11, GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0), sqlite3 Materials: README NEWS CRAN checks: happign results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=happign to link to this page.
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