Package: prepr 0.3.1

Jeffrey O Hanson

prepr: Automatic Repair of Spatial Polygons

Automatically repair broken spatial polygons using constrained triangulation. The computational methodology is derived from Ledoux et al. (2014) <doi:10.1016/j.cageo.2014.01.009>.

Authors:Ahmadou Dicko [aut], Jeffrey O Hanson [aut, cre], Edzer Pebesma [ctb], Ken Arroyo Ohori [ctb, cph], Hugo Ledoux [ctb, cph], Martijn Meijers [ctb, cph]

prepr_0.3.1.tar.gz
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prepr_0.3.1.tgz(r-4.4-x86_64)prepr_0.3.1.tgz(r-4.4-arm64)prepr_0.3.1.tgz(r-4.3-x86_64)prepr_0.3.1.tgz(r-4.3-arm64)
prepr_0.3.1.tar.gz(r-4.5-noble)prepr_0.3.1.tar.gz(r-4.4-noble)
prepr.pdf |prepr.html✨
prepr/json (API)
NEWS

# Install 'prepr' in R:

install.packages('prepr', repos = c('https://prioritizr.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/prioritizr/prepr/issues

Uses libs:

gdal– Geospatial Data Abstraction Library
gmp– Multiprecision arithmetic library
c++– GNU Standard C++ Library v3

On CRAN:

gis spatial gdal gmp cpp

4.01 score 6 stars 17 scripts 1 exports 42 dependencies

Last updated 1 months agofrom:dbfcd69dec (on debug-autoconf). Checks:9 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Jan 12 2025
R-4.5-win-x86_64	OK	Jan 14 2025
R-4.5-linux-x86_64	OK	Jan 12 2025
R-4.4-win-x86_64	OK	Jan 12 2025
R-4.4-mac-x86_64	OK	Jan 12 2025
R-4.4-mac-aarch64	OK	Jan 12 2025
R-4.3-win-x86_64	OK	Jan 12 2025
R-4.3-mac-x86_64	OK	Jan 12 2025
R-4.3-mac-aarch64	OK	Jan 12 2025