Package: chopin 0.9.3

chopin: Computation of Spatial Data by Hierarchical and Objective Partitioning of Inputs for Parallel Processing

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.

Authors:Insang Song [aut, cre], Kyle Messier [aut, ctb], Alec L. Robitaille [rev], Eric R. Scott [rev]