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uci: Urban Centrality Index

Calculates the Urban Centrality Index (UCI) as in Pereira et al., (2013) <doi:10.1111/gean.12002>. The UCI measures the extent to which the spatial organization of a city or region varies from extreme polycentric to extreme monocentric in a continuous scale from 0 to 1. Values closer to 0 indicate more polycentric patterns and values closer to 1 indicate a more monocentric urban form.

Version: 0.3.0
Depends: R (≥ 4.2.0)
Imports: checkmate, cppRouting, data.table, furrr, future, pbapply, fields, sf, spdep, utils
Suggests: covr, knitr, ggplot2, rmarkdown, stats, testthat
Published: 2023-09-23
DOI: 10.32614/CRAN.package.uci
Author: Rafael H. M. Pereira ORCID iD [aut, cre]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br at gmail.com>
BugReports: https://github.com/ipeaGIT/uci/issues
License: MIT + file LICENSE
URL: https://github.com/ipeaGIT/uci, https://ipeagit.github.io/uci/
NeedsCompilation: no
Citation: uci citation info
Materials: README NEWS
CRAN checks: uci results

Documentation:

Reference manual: uci.pdf
Vignettes: Introduction to uci: urban centrality index

Downloads:

Package source: uci_0.3.0.tar.gz
Windows binaries: r-devel: uci_0.3.0.zip, r-release: uci_0.3.0.zip, r-oldrel: uci_0.3.0.zip
macOS binaries: r-release (arm64): uci_0.3.0.tgz, r-oldrel (arm64): uci_0.3.0.tgz, r-release (x86_64): uci_0.3.0.tgz, r-oldrel (x86_64): uci_0.3.0.tgz
Old sources: uci archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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