22.10.23:
- Refactoring the UI, reorganizing the tabs, set the main tab
"Thematic map" in the top
always visible. Changes in the layout for selecting the layer and its
band and nodata in
one row, reducing the space and improving the usability. UI
improvements in the
classification dialog and its view widgets.
- Overhauling all accuracy assessment results, now all results based
on the type of sampling
design into three estimators: Simple/systematic estimator,
Simple/systematic post-stratified estimator
and Stratified estimator. Now the accuracy assessment result are more
precise and adjusted
to the sampling design with more statistics data such as standard
deviation for the accuracies:
overall, user and producer.
- Improvements for counting the number of pixels for each thematic
value in parallel or
lineal processing with a process dialog
- After samples are created, the file generated is prepared and
selected in respond design
and analysis tab
- Highlight the edges of the thematic pixel respectively of the
current sampling point for
the views in the response design window
- Implemented the sampling unit using a number of pixel buffer around
to current pixel for labeling,
helping the user identify the classes around the pixel that is being
labelled.
- Added a new sampling method: systematic sampling using a point
spacing grid with a random offset,
but also with the option to post-stratified the sampling and the
option of neighbours aggregation.
- New dialog for easier selection the classes from categorical map to
post-stratify the simple
and systematic sampling
- Refactoring the UI, classes, functions and docs to match with the
correct names of the
accuracy assessment process described in the papers that this plugin
is based on.
- Added the option to allow AcATaMa apply an automatic classification
symbology to the layer
when the layer don't have an appropriate colors/values style
- Now the yml file save all the settings and configurations made in
sampling design tab
- Improved the nodata boxes and processes to handle the case of large
and negative nodata values
- Check if the sampling process seems stuck due to sampling conditions
and ask the user to
continue or cancel the process
- New button for reset the categorical value table, reloading the
layer style, pixel count and restoring
default values
- Checked or activated the labeling button for the label selected for
the current sample
- Adjustments and fixes in the button classification dialog
- Added a check if all button configured have a valid name in the
button classification dialog
- Set by default the classification view config by 2x1 views and
readjust the size of window
- Refactoring the save/restore configuration and state of Acatama in
order to include more configurations
- Remember the latest save/restore configuration file
- Deleted the option to save the sampling config as .ini file, use
save/restore state instead.
- Check if all button configured have a valid name and check if button
name exist (not allow duplicate
labels with the same names)
- Reviewed the user and producer accuracy value using error matrix
adjusted table for stratified and
post-stratified estimator
- Updated and adjusted the suggested filenames
- Fixes counting pixel values using parallel libraries or gdal
- Fixes some division by zero in the new way to compute the Stratified
estimator
- UI adjustments
- Cleaning unused files and libs
- Minor several fixes and improvements
- Don't forget rate the plugin :)

Previous versions:
- All commits in: https://github.com/SMByC/AcATaMa/commits

None