fca: Floating Catchment Area (FCA) Methods to Calculate Spatial Accessibility

Perform various floating catchment area methods to calculate a spatial accessibility index (SPAI) for demand point data. The distance matrix used for weighting is normalized in a preprocessing step using common functions (gaussian, gravity, exponential or logistic).

Version: 0.1.0
Suggests: covr, knitr, rmarkdown, testthat
Published: 2021-12-06
Author: Etienne Grueebler [aut, cre], Merlin Unterfinger ORCID iD [aut], Reto Joerg [ctb]
Maintainer: Etienne Grueebler <package at etienne.app>
BugReports: https://github.com/egrueebler/fca/issues/
License: GPL (≥ 3)
URL: https://egrueebler.github.io/fca/, https://github.com/egrueebler/fca/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: fca results

Documentation:

Reference manual: fca.pdf
Vignettes: getting-started

Downloads:

Package source: fca_0.1.0.tar.gz
Windows binaries: r-devel: fca_0.1.0.zip, r-release: fca_0.1.0.zip, r-oldrel: fca_0.1.0.zip
macOS binaries: r-release (arm64): fca_0.1.0.tgz, r-release (x86_64): fca_0.1.0.tgz, r-oldrel: fca_0.1.0.tgz

Linking:

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