SpatialVx: Spatial Forecast Verification
Spatial forecast verification arose from verifying high-resolution forecasts, where coarser-resolution models generally are favored even when a human forecaster finds the higher-resolution model to be considerably better. Most newly proposed methods, which largely come from image analysis, computer vision, and similar, are available, with more on the way.
| Version: |
0.6-6 |
| Depends: |
R (≥ 2.10.0), spatstat, fields (≥ 6.8), smoothie, smatr, turboEM |
| Imports: |
distillery, maps, boot, CircStats, fastcluster, waveslim |
| Published: |
2020-07-26 |
| Author: |
Eric Gilleland |
| Maintainer: |
Eric Gilleland <EricG at ucar.edu> |
| BugReports: |
http://www.ral.ucar.edu/staff/ericg |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
http://www.ral.ucar.edu/projects/icp/SpatialVx |
| NeedsCompilation: |
no |
| CRAN checks: |
SpatialVx results |
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