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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USM toolset (Urban Sprawl Metric toolset) | — | 896 | 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). | |||||||||
Vector Text Field Statistics | — | 4665 | Steven Kay | 2015-03-02T15:44:15.980515+00:00 | 2015-03-02T15:44:15.450597+00:00 | (5) |
— | 0.1 | |
This plugin finds all text fields in a vector layer, identifies discrete values in each field, together with how many features have each value. | |||||||||
Volume Calculation Tool | — | 29716 | REDcatch GmbH. | 2022-01-10T07:50:06.802646+00:00 | 2020-10-13T15:39:04.894459+00:00 | (50) |
0.4 | — | |
Calculates volume based on DEM layers | |||||||||
Zonal Exact Extract | — | 176 | Jakub Charyton | 2024-03-26T17:04:48.425842+00:00 | 2024-02-27T18:26:08.884264+00:00 | (2) |
— | 0.41 | |
Zonal Statistics of rasters using Exact Extract library | |||||||||
ZonalStats | — | 10478 | NextGIS | 2012-06-29T12:18:35.707848+00:00 | 2012-06-29T12:18:35.203263+00:00 | (28) |
— | 0.0.4 | |
Extended zonal statistics and report generation | |||||||||
autoesda Report Generator | — | 494 | 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. | |||||||||
swath profile | — | 10012 | Maximilian Krambach | 2015-12-05T17:40:54.255943+00:00 | 2015-07-07T12:43:55.504590+00:00 | (20) |
0.1.1 | 0.1 | |
Creates an aggregate profile along a baseline | |||||||||
xyt | — | 2224 | Edouard Klein | 2020-02-01T09:50:03.372787+00:00 | 2020-02-01T09:50:02.185465+00:00 | (0) |
— | 0.1 | |
Display the temporal dimension of geo data |
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