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-any)fca_0.1.0.zip(r-4.6-any)fca_0.1.0.zip(r-4.5-any)
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✨
DESCRIPTION |NEWS
card.svg |card.png
fca/json (API)

# 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:

4.60 score 8 stars 8 scripts 344 downloads 4 exports 0 dependencies

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

Target	Result	Time
linux-devel	OK	93
source / vignettes	OK	138
linux-release	OK	131
macos-release	OK	161
macos-oldrel	OK	147
windows-devel	OK	67
windows-release	OK	65
windows-oldrel	OK	56
wasm-release	OK	75

Exports:dist_normalize spai_2sfca spai_3sfca spai_mh3sfca

Dependencies:

Getting started

Installation | Example | References

Rendered fromgetting-started.Rmdusingknitr::rmarkdown

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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Distance weight methods	dist_normalize
Two-Step Floating Catchment Area method	spai_2sfca
Three-Step Floating Catchment Area method	spai_3sfca
Modified-Huff-Three-Step Floating Catchment Area method	spai_mh3sfca