Perform spatial analysis on network. Allow to calculate Network Kernel Density Estimate, and to build spatial matrices ('listw' objects like in 'spdep' package) to conduct any kind of traditional spatial analysis with spatial weights based on reticular distances. K functions on network are also available but still experimental. References: Okabe et al (2019) <doi:10.1080/13658810802475491>; Okabe et al (2012, ISBN:978-0470770818);Baddeley el al (2015, ISBN:9781482210200).
Version: | 0.1.1 |
Depends: | R (≥ 3.6) |
Imports: | spdep (≥ 1.1.2), maptools (≥ 0.9-5), rgeos (≥ 0.5-2), sp (≥ 1.3-1), sf (≥ 0.9-0), raster (≥ 3.0-12), igraph (≥ 1.2.4.2), cubature (≥ 2.0.4.1), future.apply (≥ 1.4.0), methods (≥ 1.7.1), ggplot2 (≥ 3.3.0), progressr (≥ 0.4.0), data.table (≥ 1.12.8), SearchTrees (≥ 0.5.2), Rcpp (≥ 1.0.4.6) |
LinkingTo: | Rcpp, RcppProgress, RcppArmadillo |
Suggests: | future (≥ 1.16.0), testthat (≥ 3.0.0), knitr (≥ 1.28), kableExtra (≥ 1.1.0), rmarkdown (≥ 2.1), RColorBrewer (≥ 1.1-2), classInt (≥ 0.4-3), reshape2 (≥ 1.4.3), dplyr (≥ 0.8.3), rlang (≥ 0.4.6), rgdal (≥ 1.5-18), plot3D (≥ 1.3) |
Published: | 2021-01-21 |
Author: | Jeremy Gelb [aut, cre], Philippe Apparicio [ctb] |
Maintainer: | Jeremy Gelb <jeremy.gelb at ucs.inrs.ca> |
BugReports: | https://github.com/JeremyGelb/spNetwork/issues |
License: | GPL-2 |
URL: | https://github.com/JeremyGelb/spNetwork |
NeedsCompilation: | yes |
SystemRequirements: | C++11 |
Materials: | README NEWS |
CRAN checks: | spNetwork results |
Reference manual: | spNetwork.pdf |
Vignettes: |
Network k Functions Network Kernel Density Estimate Details about NKDE Spatial Weight Matrices |
Package source: | spNetwork_0.1.1.tar.gz |
Windows binaries: | r-devel: spNetwork_0.1.1.zip, r-devel-UCRT: spNetwork_0.1.1.zip, r-release: spNetwork_0.1.1.zip, r-oldrel: spNetwork_0.1.1.zip |
macOS binaries: | r-release (arm64): spNetwork_0.1.1.tgz, r-release (x86_64): spNetwork_0.1.1.tgz, r-oldrel: spNetwork_0.1.1.tgz |
Old sources: | spNetwork archive |
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