waywiser: Yardstick Extensions for Measuring Spatial Structure in Model
Residuals
Predictive models of spatial data may have spatially
structured errors, with "hot spots" of higher than expected error
clustered geographically due to spatial structure in the underlying
data. These functions provide methods for measuring the spatial
structure of model errors for models, and 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>) and Getis-Ord's G
('Ord' and 'Getis' (1995) <doi:10.1111/j.1538-4632.1995.tb00912.x>).
| Version: |
0.1.0 |
| Depends: |
R (≥ 3.5) |
| Imports: |
rlang, sf, spdep, yardstick |
| Suggests: |
covr, dplyr, ggplot2, sfdep, spelling, testthat (≥ 3.0.0), tidymodels, tidyr |
| Published: |
2022-08-10 |
| Author: |
Michael Mahoney 
[aut, cre],
RStudio [cph, fnd] |
| Maintainer: |
Michael Mahoney <mike.mahoney.218 at gmail.com> |
| BugReports: |
https://github.com/mikemahoney218/waywiser/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/mikemahoney218/waywiser,
https://mikemahoney218.github.io/waywiser/ |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README NEWS |
| CRAN checks: |
waywiser results |
Documentation:
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