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rcrisp: Automate the Delineation of Urban River Spaces

Provides tools to automate the morphological delineation of riverside urban areas based on a method introduced in Forgaci (2018) <doi:10.7480/abe.2018.31>. Delineation entails the identification of corridor boundaries, segmentation of the corridor, and delineation of the river space using two-dimensional spatial information from street network data and digital elevation data in a projected CRS. The resulting delineation can be used to characterise spatial phenomena that can be related to the river as a central element.

Version:0.3.1
Depends:R (≥ 4.1.0)
Imports:checkmate,dbscan,dplyr,lwgeom,osmdata,rcoins,rlang,rstac,sf (≥ 0.9.0),sfheaders,sfnetworks,stringr,terra,tidygraph,units,visor
Suggests:knitr,purrr,rmarkdown,testthat (≥ 3.0.0),withr
Published:2025-11-24
DOI:10.32614/CRAN.package.rcrisp
Author:Claudiu ForgaciORCID iD [aut, cre, cph], Francesco NattinoORCID iD [aut], Fakhereh AlidoostORCID iD [ctb], Meiert Willem GrootesORCID iD [ctb], Netherlands eScience Center [fnd]
Maintainer:Claudiu Forgaci <c.forgaci at tudelft.nl>
BugReports:https://github.com/CityRiverSpaces/rcrisp/issues
License:Apache License (≥ 2)
URL:https://cityriverspaces.github.io/rcrisp/,https://doi.org/10.5281/zenodo.15793526
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:rcrisp results

Documentation:

Reference manual:rcrisp.html ,rcrisp.pdf
Vignettes:Getting started with rcrisp (source)
1. The method of delineation (source)
2. Getting OSM data for delineation (source)
3. Preparing the network for delineation (source)
4. Valley delineation (source)
5. Corridor delineation (source)
6. Corridor segmentation (source)
7. Riverspace delineation (source)

Downloads:

Package source: rcrisp_0.3.1.tar.gz
Windows binaries: r-devel:rcrisp_0.3.1.zip, r-release:rcrisp_0.3.1.zip, r-oldrel:rcrisp_0.3.1.zip
macOS binaries: r-release (arm64):rcrisp_0.3.1.tgz, r-oldrel (arm64):rcrisp_0.3.1.tgz, r-release (x86_64):rcrisp_0.3.1.tgz, r-oldrel (x86_64):rcrisp_0.2.0.tgz
Old sources: rcrisp archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=rcrispto link to this page.


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