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r-spatialvx

Community

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.

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::r-spatialvx

Usage Tracking

1.0_3
1.0_2
1.0_1
0.9
0.8
5 / 8 versions selected
Downloads (Last 6 months): 0

About

Summary

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.

Last Updated

Nov 11, 2022 at 07:41

License

GPL-2.0-or-later

Total Downloads

85.6K

Supported Platforms

noarch

Unsupported Platforms

linux-64 Last supported version: 0.6_3
macOS-64 Last supported version: 0.6_3
win-64 Last supported version: 0.6_3