QGIS Python Plugins Repository
Plugins tagged with: statistics_1
28 records found —
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Name | Featured | Downloads | Author | Latest Plugin Version ↑ | Created on | Stars (votes) | Stable | Exp. | |
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autoesda Report Generator | — | 518 | Nicholas De Kock | 2022-04-30T11:22:41.676812+00:00 | 2022-04-30T11:22:41.179260+00:00 | (0) |
— | 0.1 | |
This plugin automates the exploratory spatial data analysis (ESDA) process by summarizing numerous statistics in an HTML report. | |||||||||
DataExplorer: Data Analysis and Visualization | — | 49007 | Iacopo Borsi | 2022-09-02T17:00:19.315830+00:00 | 2015-05-15T11:35:13.294443+00:00 | (23) |
3.1.1 | 1.2 | |
Calculate and show statistical properties for a field | |||||||||
LecoS - Landscape Ecology Statistics | — | 138095 | Martin Jung | 2022-12-12T12:37:07.539337+00:00 | 2012-10-12T22:52:45.493699+00:00 | (113) |
3.0.1 | 1.7.4 | |
Contains several analytical functions for land cover analysis | |||||||||
Google Earth Engine | — | 600935 | Gennadii Donchyts, Xavier Corredor Llano, Fedor Baart | 2023-01-05T02:24:38.528683+00:00 | 2019-12-02T19:03:26.082653+00:00 | (139) |
0.0.6 | — | |
Integrates QGIS with Google Earth Engine | |||||||||
USM toolset (Urban Sprawl Metric toolset) | — | 1003 | Joel Schwab, Ryan Horiguchi, Stefan F. Keller | 2023-07-27T10:29:22.500651+00:00 | 2023-07-27T10:29:21.875686+00:00 | (3) |
1.0.0 | — | |
The USM Toolset was developed to facilitate the calculation of Weighted Urban Proliferation (WUP) and all components of urban sprawl for landscapes that include built-up areas (e.g., dispersion (DIS), land uptake per person (LUP). | |||||||||
RST | — | 1747 | Fatima Ezahrae Ezzaher; Nizar Ben Achhab; Hafssa Naciri; Naoufal Raissouni | 2023-10-24T00:34:23.427054+00:00 | 2023-09-12T13:33:14.122181+00:00 | (54) |
1.1 | — | |
This plugin computes biophysical indices | |||||||||
Extractor | — | 14549 | Stanislas Mahussi GANDAHO | 2023-11-17T08:23:37.710905+00:00 | 2023-03-11T08:25:56.473234+00:00 | (34) |
1.2 | — | |
Extractor allows for the extraction of data from raster images based on point, line, and polygon vectors and the application of zonal statistics. Its usefulness lies in its ability to work with a range of raster sources, making it ideal for time series analysis and landscape studies. | |||||||||
Zonal Exact Extract | — | 394 | Jakub Charyton | 2024-04-11T05:21:03.252583+00:00 | 2024-02-27T18:26:08.884264+00:00 | (4) |
— | 0.43 | |
Zonal Statistics of rasters using Exact Extract library |
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