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segmetric: Metrics for Assessing Segmentation Accuracy for Geospatial Data

A system that computes metrics to assess the segmentation accuracy of geospatial data. These metrics calculate the discrepancy between segmented and reference objects, and indicate the segmentation accuracy. For more details on choosing evaluation metrics, we suggest seeing Costa et al. (2018) <doi:10.1016/j.rse.2017.11.024> and Jozdani et al. (2020) <doi:10.1016/j.isprsjprs.2020.01.002>.

Version: 0.3.0
Depends: R (≥ 2.10), sf
Imports: magrittr, graphics, units
Suggests: classInt, dplyr, testthat (≥ 3.0.0)
Published: 2023-01-10
DOI: 10.32614/CRAN.package.segmetric
Author: Rolf Simoes ORCID iD [aut], Alber Sanchez ORCID iD [aut], Michelle Picoli ORCID iD [aut, cre]
Maintainer: Michelle Picoli <mipicoli at gmail.com>
BugReports: https://github.com/michellepicoli/segmetric/issues
License: MIT + file LICENSE
URL: https://michellepicoli.github.io/segmetric/
NeedsCompilation: no
Citation: segmetric citation info
Materials: README NEWS
CRAN checks: segmetric results

Documentation:

Reference manual: segmetric.pdf

Downloads:

Package source: segmetric_0.3.0.tar.gz
Windows binaries: r-devel: segmetric_0.3.0.zip, r-release: segmetric_0.3.0.zip, r-oldrel: segmetric_0.3.0.zip
macOS binaries: r-release (arm64): segmetric_0.3.0.tgz, r-oldrel (arm64): segmetric_0.3.0.tgz, r-release (x86_64): segmetric_0.3.0.tgz, r-oldrel (x86_64): segmetric_0.3.0.tgz
Old sources: segmetric 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.