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[general]
name=AcATaMa
description=AcATaMa is a powerful and complete Qgis plugin for accuracy assessment that provides comprehensive support for sampling, response design and estimation.
about=AcATaMa is a powerful and complete Qgis plugin for accuracy assessment. It provides comprehensive support for sampling, response design and estimation within a design-based inference framework. The primary goal of AcATaMa is to equip users with the necessary tools to comply with international guidance and best practices for sampling design, estimation of land category areas and changes, and map accuracy assessment. The plugin supports accuracy assessment for any thematic map across diverse use cases. A common application is in remote sensing, particularly for land use and land cover classification, environmental monitoring, urban planning, forestry, agriculture, and more. However, AcATaMa is not limited to these applications; some modules, such as sampling and labeling, can be used independently for other user cases.
version=24.12b
qgisMinimumVersion=3.30
qgisMaximumVersion=3.99
author=Xavier Corredor Llano, SMByC
homepage=https://smbyc.github.io/AcATaMa
tracker=https://github.com/SMByC/AcATaMa/issues
repository=https://github.com/SMByC/AcATaMa
changelog=
24.12[a,b]:
- New dialog tool for estimating the appropriate sample size for simple random sampling using the equation by Stehman and Foody (2019), and Cochran (1977)
- New dialog tool for estimating the appropriate sample size for systematic random sampling, considering the valid map data and map using the equation by Stehman and Foody (2019), and Cochran (1977)
- Move the grid settings into a dialog to set the number of views for the response design window
- Make the main dock widget scrollable to improve usability on small screens
- Fixed auto fill the labeling buttoms from layer function, added another way to compute the unique values if no xml color style is defined in the layer
- Don't delete the thematic map instance layer when closing the sampling design window
- Fix an issue when the thematic map has not nodata value or is not set while computing the point spacing
- Improving the process when the tests are restoring the configuration file
- Added tests for number of samples and point spacing when determining the sample size
- Fix testing, do not update progress bar if pytest is running
- Save and restore the configuration for the new dialog tool for estimating the appropriate sample size for simple and systematic random sampling
- Fix a bug in the sampling report for simple and systematic sampling without post-stratification
- Fix a bug counting the nodata value when needed in a edge case if the thematic has a very low nodata value defined, and minor improve in the counting parallel function
- Fix init and restoring the stratified sampling table when the user restore the yaml with an empty table
- Rename a variable to avoid confusing it with another variable with a similar name
- Adjusts some dialog sizes
- Fix several warning and info boxes
- Set a warning message of the Qgis version needed for the latest Acatama version
- Improving the Acatama description
- Catch any issue while converting the path
- Check the path before compute the relative path
- Update the minimum Qgis version required by the plugin, issue #22
- Catch any error when trying to import dask library
- Using a more compatible extlibs version
- All commits in: https://github.com/SMByC/AcATaMa/commits
tags=accuracy,accuracy assessment,thematic,classification,sample,sampling design,points,remote sensing
category=Plugins
icon=icons/acatama.svg
experimental=False
deprecated=False