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chopin
View on CRAN: Click
here
Download and install chopin package within the R console
Install from CRAN:
install.packages("chopin")
Install from Github:
library("remotes")
install_github("cran/chopin") Install by package version:
library("remotes")
install_version("chopin", "0.9.9") Attach the package and use:
library("chopin")
Maintained by
Insang Song
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-07-18
Latest Update: 2025-07-18
Description:
Geospatial data computation is parallelized by grid, hierarchy, or raster files. Based on 'future' (Bengtsson, 2024 <doi:10.32614/CRAN.package.future>) and 'mirai' (Gao et al., 2025 <doi:10.32614/CRAN.package.mirai>) parallel back-ends, 'terra' (Hijmans et al., 2025 <doi:10.32614/CRAN.package.terra>) and 'sf' (Pebesma et al., 2024 <doi:10.32614/CRAN.package.sf>) functions as well as convenience functions in the package can be distributed over multiple threads. The simplest way of parallelizing generic geospatial computation is to start from par_pad_*() functions to par_grid(), par_hierarchy(), or par_multirasters() functions. Virtually any functions accepting classes in 'terra' or 'sf' packages can be used in the three parallelization functions. A common raster-vector overlay operation is provided as a function extract_at(), which uses 'exactextractr' (Baston, 2023 <doi:10.32614/CRAN.package.exactextractr>), with options for kernel weights for summarizing raster values at vector geometries. Other convenience functions for vector-vector operations including simple areal interpolation (summarize_aw()) and summation of exponentially decaying weights (summarize_sedc()) are also provided.
How to cite:
Insang Song (2025). chopin: Spatial Parallel Computing by Hierarchical Data Partitioning. R package version 0.9.9, https://cran.r-project.org/web/packages/chopin. Accessed 10 Mar. 2026.
Previous versions and publish date:
0.9.4 (2025-07-18 16:40)
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