Package index • chopin

Parallelization core functions

Functions for parallelizing chopin, terra and sf geospatial operations

par_grid(): Parallelize spatial computation over the computational grids

par_hierarchy(): Parallelize spatial computation by hierarchy in input data

par_multirasters(): Parallelize spatial computation over multiple raster files

par_grid_mirai(): Parallelize spatial computation over the computational grids

par_hierarchy_mirai(): Parallelize spatial computation by hierarchy in input data

par_multirasters_mirai(): Parallelize spatial computation over multiple raster files

`par_grid` preparation functions

Regular grid or equal number partitioning to run par_grid

par_pad_grid(): Get a set of computational grids

par_pad_balanced(): Extension of par_make_balanced for padded grids

par_make_h3(): Convert H3 indices to sf object

par_make_dggrid(): Convert DGGRID indices to sf object

par_merge_grid(): Merge adjacent grid polygons with given rules

par_split_list(): Split grid list to a nested list of row-wise data frames

chopin calculation functions

Functions for streamlining oft-used operations

extract_at(): Extract raster values with point buffers or polygons

summarize_aw(): Area weighted summary using two polygon objects

summarize_sedc(): Calculate Sum of Exponentially Decaying Contributions (SEDC) covariates

Helper function

Parallelization helper function

par_convert_f(): Map specified arguments to others in literals

Dataset

Bundled data in chopin package

prediction_grid: Regular grid points in the mainland United States at 1km spatial resolution

ncpoints: Mildly clustered points in North Carolina, United States