AcATaMa 23.4 — QGIS Python Plugins Repository

Version: [1421] AcATaMa 23.4

Details
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Changelog

23.4:
- Added a new mechanism to compute in parallel the counting of the
unique pixel values (thematic classes)
required for stratified sampling design and analysis using area based
proportion.
- Added the option for systematic sampling to set the initial inset
from left-top corner using a random value.
- Added the external library Dask in the plugin to allow parallel
computing in some processes.
- Added all the tests to verify and check the accuracy assessment
results in the different sampling types.
- Fixed an issue for the standard deviation in the overall accuracy
for the post-stratify estimators
- Fixed the slot event for load the file and select the layer in the
ComboBox for Qgis layers
- Adjusted all the exercises with the all configurations of the plugin
and added the missing ones.
- All commits in: https://github.com/SMByC/AcATaMa/commits/all

Approved

yes

Author

xaviercll

Uploaded

2023-04-18T00:04:48.501097+00:00

Minimum QGIS version

3.0.0

Maximum QGIS version

3.99.0

External dependencies (PIP install string)

None