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: |
2.7-10 |
Depends: |
R (≥ 3.5.0), Rcpp (≥ 0.12.14), spatstat.core |
Imports: |
cubature, ggplot2, RcppParallel, reshape2, rlang, spatstat.utils, stats, tibble, spatstat.geom, spatstat.random |
LinkingTo: |
Rcpp, RcppParallel |
Suggests: |
testthat, knitr, pkgdown, rmarkdown |
Published: |
2022-07-10 |
Author: |
Eric Marcon [aut,
cre],
Gabriel Lang
[aut],
Stephane Traissac
[aut],
Florence Puech
[aut] |
Maintainer: |
Eric Marcon <eric.marcon at agroparistech.fr> |
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 |
Documentation:
Downloads:
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