dbmss: Distance-Based Measures of Spatial Structures

Simple computation of spatial statistic functions of distance to characterize the spatial structures of mapped objects, following Marcon, Traissac, Puech, and Lang (2015) <doi:10.18637/jss.v067.c03>. Includes classical functions (Ripley's K and others) and more recent ones used by spatial economists (Duranton and Overman's Kd, Marcon and Puech's M). Relies on 'spatstat' for some core calculation.

Version: 2.7-1
Depends: R (≥ 3.3.0), spatstat, Rcpp (≥ 0.12.14), ggplot2
Imports: cubature, reshape2, stats, RcppParallel, spatstat.utils (≥ 1.3-1), tibble
LinkingTo: Rcpp, RcppParallel
Suggests: testthat, knitr, pkgdown
Published: 2020-01-08
Author: Eric Marcon ORCID iD [aut, cre], Gabriel Lang ORCID iD [aut], Stephane Traissac [aut], Florence Puech ORCID iD [aut]
Maintainer: Eric Marcon <eric.marcon at ecofog.gf>
BugReports: https://github.com/EricMarcon/dbmss/issues
License: GPL-2 | GPL-3 [expanded from: GNU General Public License]
URL: https://github.com/EricMarcon/dbmss
NeedsCompilation: yes
SystemRequirements: pandoc, GNU make
Citation: dbmss citation info
Materials: README NEWS
In views: Spatial
CRAN checks: dbmss results


Reference manual: dbmss.pdf
Vignettes: Introduction to dbmss
Package source: dbmss_2.7-1.tar.gz
Windows binaries: r-devel: dbmss_2.7-1.zip, r-release: dbmss_2.7-1.zip, r-oldrel: dbmss_2.7-1.zip
macOS binaries: r-release: dbmss_2.7-1.tgz, r-oldrel: dbmss_2.7-1.tgz
Old sources: dbmss archive


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