fsr: Handling Fuzzy Spatial Data in R

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Many spatial objects (i.e., geographical objects) in reality may have inexact locations, vague boundaries, and/or blurred interiors, and hence cannot be adequately represented by well-known (crisp) spatial objects (e.g., those objects available in spatial libraries like GEOS and GDAL). Fuzzy set theory and fuzzy logic are powerful approaches to deal with spatial fuzziness.

Unfortunately, spatial fuzziness has so far not found its way into spatial data science projects due to a lack of complete implementations of software packages that can handle fuzzy spatial objects. Motivated by this lack of support, the fsr package has the following advantages:


To cite fsr in publications use:


Install the released version of fsr from CRAN with:


Install the development version from GitHub with:

# install.packages("devtools")

Contributing and Contact

The project welcomes contributions. You can contribute to fsr by making Issues or Pull Requests on this GitHub Repository. Alternatively, you can contact Anderson Carniel. When a Pull Request or email is sent, Anderson Carniel will check it as soon as possible.