Package: MultiscaleSCP 0.2.0

Pablo Merlo

MultiscaleSCP: Multiscale Systematic Conservation Planning Across Nested H3 Grids

Provides tools for multiscale systematic conservation planning using the H3 hierarchical hexagonal grid system (Uber Technologies (2024) <https://h3geo.org>) and the 'prioritizr' package (Hanson et al. (2025) <doi:10.1111/cobi.14376>). Supports the definition and solution of conservation problems across nested H3 resolutions with resolution-specific features, costs, and management attributes, including cross-scale connectivity penalties derived from parent-child relationships. Includes a multiscale minimum-set objective that allows planning units at different resolutions to contribute toward feature representation targets while accounting for overlapping costs and feature amounts across nested planning units. Also includes utilities to evaluate solutions using multiscale-aware diagnostics and to post-process optimization outputs into alternative area-targeted conservation scenarios.

Authors:Pablo Merlo [aut, cre], Oisín Callery [aut], Carlos Tighe [ctb], Anthony Grehan [ctb]

MultiscaleSCP_0.2.0.tar.gz
MultiscaleSCP_0.2.0.zip(r-4.7-x86_64)MultiscaleSCP_0.2.0.zip(r-4.7-arm64)MultiscaleSCP_0.2.0.zip(r-4.6-x86_64)MultiscaleSCP_0.2.0.zip(r-4.6-arm64)
MultiscaleSCP_0.2.0.tar.gz(r-4.7-arm64)MultiscaleSCP_0.2.0.tar.gz(r-4.7-x86_64)MultiscaleSCP_0.2.0.tar.gz(r-4.6-arm64)MultiscaleSCP_0.2.0.tar.gz(r-4.6-x86_64)
MultiscaleSCP_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MultiscaleSCP/json (API)

# Install 'MultiscaleSCP' in R:

install.packages('MultiscaleSCP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

2.30 score 317 downloads 23 exports 50 dependencies

Last updated from:fb3baae180. Checks:10 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	190
linux-devel-x86_64	OK	215
source / vignettes	OK	271
linux-release-arm64	OK	173
linux-release-x86_64	OK	223
windows-devel-arm64	OK	313
windows-devel-x86_64	OK	271
windows-release-arm64	OK	313
windows-release-x86_64	OK	232
wasm-release	OK	158

Exports:add_multiscale_connectivity_penalties add_multiscale_min_set add_multiscale_min_set_objective add_multiscale_relative_targets build_crossscale_index build_h3_maps build_multiscale_atoms build_multiscale_connectivity_matrix build_multiscale_feature_atoms build_multiscale_objective_data compute_overlaps_by_resolution compute_pu_scores compute_pu_scores_crossscale compute_selection_by_resolution compute_selection_by_strata deduplicate_h3_selections eval_exact_raster_coverage eval_geom_feature_coverage eval_multiscale_atom_solution load_multiscale_feature multiscale_feature_cols summarize_coverage_by_resolution summarize_coverage_by_strata

Dependencies:assertthat BH class classInt cli cpp11 curl DBI dplyr e1071 exactextractr generics geojsonsf geometries glue h3jsr jsonify jsonlite KernSmooth lattice lifecycle magrittr Matrix pillar pkgconfig prioritizr proxy purrr R6 rapidjsonr raster Rcpp RcppArmadillo rlang s2 sf sfheaders sp stringi stringr terra tibble tidyr tidyselect units utf8 V8 vctrs withr wk

Multiscale SCP workflow example

Rendered fromMultiscaleSCP_workflow_vignette.Rmdusingknitr::rmarkdown

Last update: 2026-10-14
Started: 2026-03-30

Help page	Topics
Add multiscale connectivity penalties to a prioritizr problem	add_multiscale_connectivity_penalties add_multiscale_connectivity_penalties,ANY,ANY,ANY,array,character-method add_multiscale_connectivity_penalties,ANY,ANY,ANY,data.frame,character-method add_multiscale_connectivity_penalties,ANY,ANY,ANY,dgCMatrix,character-method add_multiscale_connectivity_penalties,ANY,ANY,ANY,Matrix,character-method add_multiscale_connectivity_penalties,ANY,ANY,ANY,matrix,character-method
Add a multiscale minimum-set objective and relative targets	add_multiscale_min_set
Add a multiscale minimum-set objective	add_multiscale_min_set_objective
Add multiscale relative targets	add_multiscale_relative_targets
Build cross-scale index structures for H3-based SCP workflows	build_crossscale_index
Build H3 hierarchy maps for multiscale planning units	build_h3_maps
Build non-overlapping cost atoms for nested planning units	build_multiscale_atoms
Build a multiscale H3 connectivity matrix	build_multiscale_connectivity_matrix
Build multiscale feature accounting for nested planning units	build_multiscale_feature_atoms
Prepare data for multiscale minimum-set optimization	build_multiscale_objective_data
Count cross-resolution overlaps in a selection	compute_overlaps_by_resolution
Compute importance scores for planning units	compute_pu_scores
Compute cross-scale planning-unit scores by resolution	compute_pu_scores_crossscale
Stratified multiscale selection by resolution	compute_selection_by_resolution
Stratified multiscale selection by strata and resolution	compute_selection_by_strata
Deduplicate multiscale selections across H3 resolutions	deduplicate_h3_selections
Exact feature coverage from rasters and selected PUs	eval_exact_raster_coverage
Geometry-based feature coverage evaluation from sf column features and selected PUs	eval_geom_feature_coverage
Evaluate multiscale feature representation	eval_multiscale_atom_solution
Prepare a conservation feature for multiscale planning	load_multiscale_feature
Retrieve feature columns for multiscale optimization	multiscale_feature_cols
Cross-scale coverage summary by resolution	summarize_coverage_by_resolution
Cross-scale coverage summary by strata	summarize_coverage_by_strata

Package: MultiscaleSCP 0.2.0

MultiscaleSCP: Multiscale Systematic Conservation Planning Across Nested H3 Grids

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