Package: fca 0.1.0

Etienne Grueebler

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).

Authors:Etienne Grueebler [aut, cre], Merlin Unterfinger [aut], Reto Joerg [ctb]

fca_0.1.0.tar.gz
fca_0.1.0.zip(r-4.7)fca_0.1.0.zip(r-4.6)fca_0.1.0.zip(r-4.5)
fca_0.1.0.tgz(r-4.6-any)fca_0.1.0.tgz(r-4.5-any)
fca_0.1.0.tar.gz(r-4.7-any)fca_0.1.0.tar.gz(r-4.6-any)
fca_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
fca/json (API)
NEWS

# Install 'fca' in R:
install.packages('fca', repos = c('https://egrueebler.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/egrueebler/fca/issues

Pkgdown/docs site:https://egrueebler.github.io

On CRAN:

Conda:

4.60 score 8 stars 7 scripts 256 downloads 4 exports 0 dependencies

Last updated from:f813216e2c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK104
source / vignettesOK132
linux-release-x86_64OK108
macos-release-arm64OK109
macos-oldrel-arm64OK145
windows-develOK70
windows-releaseOK68
windows-oldrelOK63
wasm-releaseOK96

Exports:dist_normalizespai_2sfcaspai_3sfcaspai_mh3sfca

Dependencies:

Getting started

Rendered fromgetting-started.Rmdusingknitr::rmarkdownon May 10 2026.

Last update: 2021-11-29
Started: 2021-09-13