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
prepr_0.3.1.zip(r-4.7-x86_64)prepr_0.3.1.zip(r-4.7-arm64)prepr_0.3.1.zip(r-4.6-x86_64)prepr_0.3.1.zip(r-4.6-arm64)prepr_0.3.1.zip(r-4.5-x86_64)
prepr_0.3.1.tgz(r-4.6-x86_64)prepr_0.3.1.tgz(r-4.6-arm64)prepr_0.3.1.tgz(r-4.5-x86_64)prepr_0.3.1.tgz(r-4.5-arm64)
prepr_0.3.1.tar.gz(r-4.7-arm64)prepr_0.3.1.tar.gz(r-4.7-x86_64)prepr_0.3.1.tar.gz(r-4.6-arm64)prepr_0.3.1.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
prepr/json (API)

# 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

3.71 score 6 stars 17 scripts 1 exports 14 dependencies

Last updated from:dbfcd69dec (on debug-autoconf). Checks:14 OK, 1 FAIL. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	140
linux-devel-x86_64	OK	138
source / vignettes	OK	227
linux-release-arm64	OK	129
linux-release-x86_64	OK	152
macos-release-arm64	OK	123
macos-release-x86_64	OK	215
macos-oldrel-arm64	OK	104
macos-oldrel-x86_64	OK	274
windows-devel-arm64	OK	265
windows-devel-x86_64	OK	430
windows-release-arm64	OK	226
windows-release-x86_64	OK	489
windows-oldrel-x86_64	OK	495
wasm-release	FAIL	618