13 records found
Inference of deep neural network models (ONNX) for segmentation, detection and regression
2024-12-10T10:38:22.549072+00:00
Downscale Anything with Random Forest is a QGIS Processing plugin that allows flexible dasymetric downscaling of coarse rasters to user-defined …
2025-08-20T16:38:43.012008+00:00
Advanced polynomial trend surface analysis with comprehensive diagnostics and visualization tools
2025-10-24T14:56:53.145545+00:00
Spatial statistics in the Processing Toolbox: hot spot analysis (Getis-Ord Gi*), cluster and outlier analysis (LISA), spatial autocorrelation, regionalization, spatial …
2026-11-13T11:22:13.640157+00:00
Integrated Nighttime Light Modeling is a QGIS plugin designed to support advanced spatial analysis and forecasting using VIIRS Nighttime Lights …
2025-06-29T16:45:42.989363+00:00
Machine Learning for Image Classification/Regression in QGIS
2026-08-26T16:25:05.487321+00:00
A QGIS plugin for Multiscale Geographically Weighted Regression (MGWR)
2024-06-20T05:44:42.004350+00:00
Spectral machine learning: build, validate and apply regression models for spectroscopy and multispectral / hyperspectral imagery, integrated with QGIS raster …
2026-11-11T22:43:15.839436+00:00
Species distribution modeling support for the QGIS Processing toolbox
2014-11-06T13:47:14.483571+00:00
Plots two raster datasets against each other and fits a linear regression.
2026-07-20T16:30:35.553610+00:00
| Name | Author | Latest Version | Created On | ||||
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CPR | 3,716 | Vielca Ingenieros | 2024-09-03T14:30:02.421567+00:00 | 2023-03-24T07:31:28.512507+00:00 | 0.2 | — |
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Deepness: Deep Neural Remote Sensing | 92,995 | PUT Vision | 2024-12-10T10:38:22.549072+00:00 | 2022-10-20T11:38:13.982136+00:00 | 0.6.5 | 0.3.0 |
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Downscale Anything with Random Forest | 1,550 | Firman Afrianto | 2025-08-20T16:38:43.012008+00:00 | 2025-08-20T16:38:40.979615+00:00 | 1.0.0 | — |
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Enhanced Trend Surface Analysis | 1,160 | Sidney Schaberle Goveia | 2025-10-24T14:56:53.145545+00:00 | 2025-10-24T14:56:50.043387+00:00 | 1.0.0 | — |
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EnMAP-Box 3 | 133,452 | Andreas Janz, Benjamin Jakimow, Sebastian van der Linden, Fabian Thiel, Henrike Dierkes | 2026-09-02T09:16:39.949815+00:00 | 2019-03-07T11:24:07.383848+00:00 | 3.17.9 | 3.17.0 |
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GeoStats Lab | 7,642 | Geophilo | 2026-11-13T11:22:13.640157+00:00 | 2026-05-20T14:16:37.654684+00:00 | 3.13.2 | — |
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Integrated Nighttime Light Modeling | 1,627 | Firman Afrianto | 2025-06-29T16:45:42.989363+00:00 | 2025-06-29T16:45:40.171327+00:00 | 1.0.0 | — |
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Machine Learning for QGIS | 6,154 | Rosa Aguilar | 2026-08-26T16:25:05.487321+00:00 | 2025-04-13T19:55:33.491685+00:00 | 0.4.0 | — |
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mgwr_plugin | 2,736 | Huaying Gu & Yi Wu | 2024-06-20T05:44:42.004350+00:00 | 2024-06-20T05:44:40.310034+00:00 | — | 1.1 |
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PARACUDA-NG | 372 | Sharad Kumar Gupta, Jonti Evan Shepherd | 2026-11-11T22:43:15.839436+00:00 | 2026-08-11T00:57:57.632604+00:00 | 2.0.0 | — |
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QSDM | 10,298 | Martin Jung | 2014-11-06T13:47:14.483571+00:00 | 2014-05-11T17:53:18.336587+00:00 | — | 0.2 |
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Raster Scatter | 346 | Sim Reaney | 2026-07-20T16:30:35.553610+00:00 | 2026-07-10T12:57:49.906857+00:00 | 1.0.2 | — |
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SZ | 4,025 | Giacomo Titti and Luigi Lombardo | 2025-08-07T14:04:22.305777+00:00 | 2024-12-18T10:07:34.288165+00:00 | 2.0.2 | — |
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