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A high-level Python framework to evaluate the skill of geospatial datasets by comparing candidates to benchmark maps producing agreement maps and metrics.

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Probabilistic comparison functions, methods, and objects should be added to documentation.

documentation

Attribute tracking functionality within `gval_xarray.py` is not being covered. ```src/gval/accessors/gval_xarray.py 119 21 82% 252-270, 378-390,```

testing

## Current behavior - No tests are in place for the testing of 3D multi-band DataArrays and Datasets within test_spatial_alignment.py. ## Expected behavior - We need some of these tests...

testing

## Current behavior - Certain columns defined in the schema's such as band, tp, counts, candidate_values, etc could possibly be more than one possible dtype including str, int, or float....

enhancement

## Current behavior - Compute_categorical_metrics only handles cases where the positive and negative values in both maps align. ## Expected behavior - Handle cases where candidate and benchmark maps may...

enhancement

## Current behavior - currently developers need to manually check markdown files (such as README.md) and jupyter notebooks to ensure proposed changes are working correctly. ## Expected behavior - Explore...

testing

This pull requests addresses accumulating memory and datatype concerns in the context of batch processing. ## Changes - Tutorial.ipynb: Changed version - pyproject.toml: Update version - tabulation.py: Change engine of...