Related Plugins and Tags

QGIS Python Plugins Repository

AcATaMa Plugin icon

Plugin ID: 1421
(85) votes 

AcATaMa is a powerful and complete Qgis plugin for accuracy assessment that provides comprehensive support for sampling, response design and estimation.

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.

Author
Xavier Corredor Llano, SMByC
Maintainer
xaviercll
Tags
samplepointsaccuracy assessmentclassificationremote sensingaccuracysampling designthematic
Plugin home page
https://smbyc.github.io/AcATaMa
Tracker
Browse and report bugs
Code repository
https://github.com/SMByC/AcATaMa
Latest stable version
24.10
Plugin ID
1421
Version Experimental Min QGIS version Max QGIS version Downloads Uploaded by Date
24.10 no 3.0.0 3.99.0 5708 xaviercll 2024-10-01T05:54:58.630596+00:00
24.7 no 3.0.0 3.99.0 4301 xaviercll 2024-07-23T02:21:58.759482+00:00
24.6 no 3.0.0 3.99.0 2552 xaviercll 2024-06-18T01:02:00.476257+00:00
23.4 no 3.0.0 3.99.0 18938 xaviercll 2023-04-18T00:04:48.501097+00:00
22.10.23 no 3.0.0 3.99.0 10467 xaviercll 2022-10-23T17:10:41.545019+00:00
19.11.21b no 3.0.0 3.99.0 14642 xaviercll 2022-01-28T02:38:40.640007+00:00
19.11.21a no 3.0.0 3.99.0 535 xaviercll 2022-01-25T15:28:31.827439+00:00
19.11.21 no 3.0.0 3.99.0 33384 xaviercll 2019-11-22T00:54:40.787288+00:00
19.11.14 no 3.0.0 3.99.0 744 xaviercll 2019-11-15T03:08:37.743677+00:00
19.8.26 no 3.0.0 3.99.0 3723 xaviercll 2019-08-27T02:44:06.416366+00:00
19.8.8 no 3.0.0 3.99.0 1042 xaviercll 2019-08-08T05:06:48.959493+00:00
19.6.20 no 3.0.0 3.99.0 2628 xaviercll 2019-06-20T05:29:52.095894+00:00
18.11.21.q3 no 3.0.0 3.99.0 7480 xaviercll 2018-11-21T22:15:50.949949+00:00
18.11.21.q2 no 2.14.0 2.99.0 14192 xaviercll 2018-11-22T01:30:47.549987+00:00
18.8.30.q2 no 2.14.0 2.99.0 3217 xaviercll 2018-08-31T01:10:07.178001+00:00
18.8.7.q3 no 3.0.0 3.99.0 3164 xaviercll 2018-08-07T22:12:43.877041+00:00
18.8.7.q2 no 2.14.0 2.99.0 938 xaviercll 2018-08-07T22:04:22.133625+00:00
18.7.28.q3 no 3.0.0 3.99.0 785 xaviercll 2018-07-28T22:52:55.812293+00:00
18.7.28.q2 no 2.14.0 2.99.0 685 xaviercll 2018-07-28T22:17:35.906120+00:00
18.7.25.q3 no 3.0.0 3.99.0 584 xaviercll 2018-07-25T20:21:26.118835+00:00
18.7.25.q2 no 2.14.0 2.99.0 530 xaviercll 2018-07-25T20:17:31.149420+00:00
18.7.8 no 3.0.0 3.99.0 1089 xaviercll 2018-07-08T22:30:32.164007+00:00
18.7.6 no 2.14.0 2.99.0 1041 xaviercll 2018-07-07T04:52:20.882302+00:00
18.6.4 no 2.14.0 2.99.0 1806 xaviercll 2018-06-04T03:51:47.792203+00:00
18.4.1 no 2.14.0 2.99.0 2815 xaviercll 2018-04-01T18:15:51.090087+00:00
18.3.31 no 2.14.0 2.99.0 670 xaviercll 2018-03-31T18:16:20.994255+00:00
18.3.30 no 2.14.0 2.99.0 751 xaviercll 2018-03-30T04:28:21.446319+00:00
18.3.23.1 no 2.14.0 2.99.0 1097 xaviercll 2018-03-23T16:46:49.229961+00:00
18.3.23 no 2.14.0 2.99.0 700 xaviercll 2018-03-23T16:29:23.005378+00:00
18.3.7 no 2.14.0 2.99.0 654 xaviercll 2018-03-07T05:46:35.949059+00:00

Sustaining Members