Spatial Parallel Computing by Hierarchical Data Partitioning
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Documentation for package ‘chopin’ version 0.9.4
Help Pages
| extract_at | Extract raster values with point buffers or polygons |
| extract_at-method | Extract raster values with point buffers or polygons |
| ncpoints | Mildly clustered points in North Carolina, United States |
| par_convert_f | Map specified arguments to others in literals |
| par_grid | Parallelize spatial computation over the computational grids |
| par_grid_mirai | Parallelize spatial computation over the computational grids |
| par_hierarchy | Parallelize spatial computation by hierarchy in input data |
| par_hierarchy_mirai | Parallelize spatial computation by hierarchy in input data |
| par_merge_grid | Merge adjacent grid polygons with given rules |
| par_multirasters | Parallelize spatial computation over multiple raster files |
| par_multirasters_mirai | Parallelize spatial computation over multiple raster files |
| par_pad_balanced | Extension of par_make_balanced for padded grids |
| par_pad_grid | Get a set of computational grids |
| par_split_list | Split grid list to a nested list of row-wise data frames |
| prediction_grid | Regular grid points in the mainland United States at 1km spatial resolution |
| summarize_aw | Area weighted summary using two polygon objects |
| summarize_aw-method | Area weighted summary using two polygon objects |
| summarize_sedc | Calculate Sum of Exponentially Decaying Contributions (SEDC) covariates |