waywiser
0.6.3Ergonomic Methods for Assessing Spatial Models
Overview
Assessing predictive models of spatial data can be challenging, both because these models are typically built for extrapolating outside the original region represented by training data and due to potential spatially structured errors, with "hot spots" of higher than expected error clustered geographically due to spatial structure in the underlying data. Methods are provided for assessing models fit to spatial data, including approaches for measuring the spatial structure of model errors, assessing model predictions at multiple spatial scales, and evaluating where predictions can be made safely. Methods are particularly useful for models fit using the 'tidymodels' framework. Methods include Moran's I ('Moran' (1950) doi:10.2307/2332142), Geary's C ('Geary' (1954) doi:10.2307/2986645), Getis-Ord's G ('Ord' and 'Getis' (1995) doi:10.1111/j.1538-4632.1995.tb00912.x), agreement coefficients from 'Ji' and Gallo (2006) (<doi: 10.14358/PERS.72.7.823>), agreement metrics from 'Willmott' (1981) (<doi: 10.1080/02723646.1981.10642213>) and 'Willmott' 'et' 'al'. (2012) (<doi: 10.1002/joc.2419>), an implementation of the area of applicability methodology from 'Meyer' and 'Pebesma' (2021) (doi:10.1111/2041-210X.13650), and an implementation of multi-scale assessment as described in 'Riemann' 'et' 'al'. (2010) (doi:10.1016/j.rse.2010.05.010).
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Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-08
- ERROR12 OK, 1 ERROR2026-06-07
- OK13 OK2026-04-30
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- ERROR13 OK, 1 ERROR2026-04-24
- OK14 OK2026-03-10
Documentation
The repository also keeps web-only articles.
- Help pages
- 19 (2 internal)includes a package overview page
- Examples that run
- 100%16 run in a plain check (5 of them under a condition)
- Exported functions with examples
- 100%
- Documented parameters
- 97%
- Return-value docs
- 100%
- Help pages citing references
- 47%
Downloads
Repository
- PRs merged (all time)
- 94%
- Median days to close, 50 most recently updated closed issues
- 1
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
15 development-tooling and community-health practices detected across 8 families in the upstream repository
Checks run against github.com/ropensci/waywiser on 2026-10-11.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2023-02-21
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Dependencies
Installing waywiser adds 39 packages (28 with compiled code, 48 MB of source tarballs). Heaviest: sf 9.3 MB, spdep 4.5 MB, sp 4.3 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.6.3Latest
- RR 4.5.0 released · 2025-04-11
- 0.6.22025-03-03 · diff ↗
- 0.6.12025-02-17 · diff ↗
- 0.6.02024-06-27 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 0.5.12023-10-31 · diff ↗
- 0.5.02023-10-16 · diff ↗
- 0.4.22023-07-20 · diff ↗
- 0.4.12023-07-03 · diff ↗
- 0.4.02023-05-17 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 0.3.02023-03-19 · diff ↗ ·
removed 7 exports
ww_global_geary, ww_global_moran, ww_local_geary, ww_local_getis_ord, ww_local_getis_ord_pvalue, ww_local_getis_ord_pvalue_vec, ww_local_moranadded 31 exports
ww_agreement_coefficient, ww_agreement_coefficient_vec, ww_local_getis_ord_g_pvalue, ww_local_getis_ord_g_pvalue_vec, ww_multi_scale, ww_systematic_agreement_coefficient, ww_systematic_agreement_coefficient_vec, ww_systematic_mpd, ww_systematic_mpd_vec, ww_systematic_mse, ww_systematic_mse_vec, ww_systematic_rmpd, ww_systematic_rmpd_vec, ww_systematic_rmse, ww_systematic_rmse_vec, ww_unsystematic_agreement_coefficient, ww_unsystematic_agreement_coefficient_vec, ww_unsystematic_mpd, ww_unsystematic_mpd_vec, ww_unsystematic_mse, ww_unsystematic_mse_vec, ww_unsystematic_rmpd, ww_unsystematic_rmpd_vec, ww_unsystematic_rmse, ww_unsystematic_rmse_vec, ww_willmott_d, ww_willmott_d1, ww_willmott_d1_vec, ww_willmott_d_vec, ww_willmott_dr and 1 more - 0.2.0
- 0.1.02022-08-10
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- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-08-10
- Total releases
- 12 / 4 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.0
- Bundled data
- 0.3 KB / 3 files
- Download size
- 2.8 MB
Cite
Cite this package
Run in R for the authors' entry:
citation("waywiser")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.48550/arxiv.2303.11312.
The repository also keeps a CITATION.cff.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.