QGIS Python Plugins Repository
Plugins tagged with: analysis
78 records found —
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Name | Featured | Downloads | Author | Latest Plugin Version | Created on | Stars (votes) | Stable | Exp. | |
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FS3 | — | 12525 | Orden Aitchedji, McKenna Duzac, Andreas Foulk, Tanner Lee | June 14, 2018 | June 13, 2018 | (27) |
1.0.1 | 1.0 |
Quickly generate, display, and compare basic statistics and graphs for numeric and text fields of vector layer(s) | |||||||||
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FUSION for Processing | — | 37046 | Alexander Bruy, Victor Olaya, Niccolo Marchi, Fredrik Lindberg | Jan. 13, 2023 | April 12, 2019 | (26) |
3.5 | 0.1.0 |
Suite of tools for LiDAR analysis and visualisation | |||||||||
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Fast Density Analysis | — | 2403 | LibKDV Group | July 12, 2023 | June 27, 2023 | (75) |
1.6 | — |
A fast kernel density visualization plugin for geospatial analytics | |||||||||
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Faunalia Toolkit | — | 170 | Matteo Ghetta (Faunalia) | June 1, 2023 | June 1, 2023 | (1) |
— | 0.1.0 |
Cartographic and spatial awesome analysis tool and much much more! | |||||||||
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GEOSYS Plugin | — | 30020 | GEOSYS | April 21, 2023 | May 28, 2019 | (4) |
1.3.0 | — |
Discover, request and use aggregate imagery products based on landsat-8, Sentinel 2 and other sensors from within QGIS, using the GEOSYS API. | |||||||||
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GHydraulics | — | 57012 | Steffen Macke | April 4, 2014 | June 13, 2012 | (73) |
2.1.8 | — |
Hydraulic analysis of water supply networks (using EPANET) | |||||||||
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GaliciaSustentable | — | 792 | Luigi Pirelli | Sept. 21, 2020 | Sept. 21, 2020 | (0) |
1.0 | — |
GaliciaSustentable processing provider | |||||||||
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GeODinQGIS | — | 11957 | Fugro Germany Land GmbH | Sept. 21, 2023 | March 11, 2016 | (58) |
3.0.2335.2 | 2.1 |
This plugin connects GeODin with QGIS | |||||||||
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Google Earth Engine | — | 518073 | Gennadii Donchyts | Jan. 4, 2023 | Dec. 2, 2019 | (117) |
0.0.6 | — |
Integrates QGIS with Google Earth Engine | |||||||||
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Group Stats | — | 390852 | Rajmund Szostok. Migrated to QGIS 3 by Borys Jurgiel and Faunalia. Code translated to English by Henrik Spångmyr. | March 31, 2023 | Nov. 23, 2011 | (156) |
2.2.7 | 2.2.0 |
Stats and analysis for vector layers data | |||||||||
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HUGIN QGIS | — | 1288 | Hugin Expert | July 3, 2018 | July 3, 2018 | (9) |
— | 1.0 |
Perform spatial probabilistic analysis using HUGIN Bayesian Networks. | |||||||||
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Hugin QGIS | — | 985 | Hugin Expert | Aug. 17, 2022 | Oct. 15, 2019 | (0) |
— | 1.2 |
Perform spatial probabilistic analysis using HUGIN Bayesian Networks | |||||||||
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Instituto Canario de Estadística (ISTAC) | — | 4137 | Instituto Canario de Estadística (ISTAC) | Dec. 14, 2020 | Dec. 14, 2018 | (40) |
0.5 | — |
Official plugin of Instituto Canario de Estadística (ISTAC) | |||||||||
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Land Productivity Analysis Tool (LPAT) | — | 4943 | RCMRD | July 18, 2020 | July 14, 2020 | (1) |
0.11 | — |
The plugin analyzes and assesses land productivity | |||||||||
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Least Cost Path | — | 4206 | Achmad Faizal P S | April 10, 2016 | April 10, 2016 | (51) |
— | 0.1 |
This Plugin used to find the least-cost path between to location on DEM Surface using anisotropic accumulated-cost surface and A* algorithm. | |||||||||
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Least-Cost-Paths Network | — | 6535 | Xavier Rubio-Campillo | Aug. 28, 2019 | Oct. 31, 2017 | (26) |
— | 0.1.5 |
Compute the network of Least-Cost Paths between multiple origins and destinations based on a cost surface map | |||||||||
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Limburg Flood Impact | — | 590 | Lutra Consulting Ltd for Nelen & Schuurmans | Aug. 17, 2023 | March 1, 2023 | (0) |
1.3.0 | — |
Limburg Flood Impact Plugin. | |||||||||
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LoS Tools | — | 5579 | Jan Caha | April 4, 2023 | April 17, 2020 | (6) |
1.0 | — |
This plugin creates and analyzes lines-of-sight (LoS) and also provides supporting tools. | |||||||||
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MOPST | — | 206 | Nick Bearman and Alexander Bruy | Dec. 22, 2022 | Dec. 22, 2022 | (2) |
1.0.0 | — |
Mapping Opportunity & Pressures for Sustainable Tourism | |||||||||
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MTF Estimator | — | 1177 | Jorge Gil | May 21, 2023 | July 20, 2020 | (0) |
1.3.0 | — |
Robust ESF, PSF, FWHM & MTF estimation from low quality targets and synthetic edge creation. |
Deprecated plugins are printed in red.