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waywiser

0.6.3

Ergonomic Methods for Assessing Spatial Models

0packages dependsuggested by 1
29.5Kdownloads / year
98.6%test coverage
13/13flavors OK

Overview

About

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).

Changes in 0.6.3
  • Avoid downloading data over the internet on CRAN.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 14.2 min · r-devel-linux-x86_64-debian-clang
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-08
  • ERROR12 OK, 1 ERROR2026-06-07
  • OK13 OK2026-04-30
Show 2 earlier changesHide 2 earlier changes
  • ERROR13 OK, 1 ERROR2026-04-24
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.6.3
READMEYes · 465 wordsVignettesYes · 3 · evaluation depends on the environmentNEWSYes · 100% structured · mentions 0.6.3Citation fileYes · software entry onlyWebsiteYes · pkgdown

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

29.5K
CRAN downloads in the past year
Rank #2,529 · ~81/day · ~2.5K/mo
Daily download trend is not available in this view yet.
2.2K30 days
6.2K90 days
29.5K1 year
Compare downloads with other packages →
Also on111 r2u6 autocran

Repository

43Stars
2Forks
7Open issues
0Open PRs
12Releases
151Commits
2Commit identities
cranrr-packagespatialspatial-analysistidymodelstidyverse
151 commits · Last activity 2025-04-15 · 0% stars, 30d
Responsiveness
How these are sampled
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

2026-07-14 · 412026-08-22 · 43
PracticesBeta

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.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (4)
Code of conduct (inherited from ropensci)Contributing guideIssue templatesSupport guide
Docs source (3)
README.Rmdpkgdown

GitHub Pages site last deployed 2023-02-21

Coverage (1)
Coverage reporting (Codecov)
Show all practicesHide 4 practices
Reproducibility and dev environment (1)
data-raw/
CRAN release process (1)
cran-comments.md
Research and citation (2)
CITATION.cffcodemeta.json
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
34 external dependencies (excludes base and recommended)

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.

Depends (1)
R >= 4.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

Datasets

People & History

People (5)
Author, Maintainer since 0.1.0 (2022)
Contributor · added in 0.2.0
Copyright holder, Funder · added in 0.3.0
Reviewer · added in 0.3.0
Virgilio reviewed the package (v. 0.2.0.9000) for rOpenSci, see <https://github.com/ropensci/software-review/issues/571>
Reviewer · added in 0.3.0
Jakub reviewed the package (v. 0.2.0.9000) for rOpenSci, see <https://github.com/ropensci/software-review/issues/571>
Listed in earlier versions (1)
RStudio
no longer listed · 0.1.0 to 0.2.0
Releases (12)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.6.3Latest
    record
    2025-04-16 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.6.2
    record
    2025-03-03 · diff ↗
  • 0.6.1
    record
    2025-02-17 · diff ↗
  • 0.6.0
    record
    2024-06-27 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 0.5.1
    record
    2023-10-31 · diff ↗
  • 0.5.0
    record
    2023-10-16 · diff ↗
  • 0.4.2
    record
    2023-07-20 · diff ↗
  • 0.4.1
    record
    2023-07-03 · diff ↗
  • 0.4.0
    record
    2023-05-17 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.3.0
    record
    2023-03-19 · 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_moran
    added 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
    record
    2022-10-23 · diff ↗ ·
    added 1 export
    ww_area_of_applicability
  • 0.1.0
    record
    2022-08-10
Show 1 earlier eventHide 1 earlier event
  • R
    R 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
Appears in task views

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for waywiser version 0.6.3 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

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.

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