Advanced viewshed analysis

Advanced viewshed analysis: a Quantum GIS plug-in for the analysis of visual landscapes - Published in JOSS (2016)

https://github.com/zoran-cuckovic/qgis-visibility-analysis

Science Score: 93.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in JOSS metadata
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software

Keywords

qgis qgis2-python-plugins qgis3-plugin visibility-analysis

Scientific Fields

Earth and Environmental Sciences Physical Sciences - 40% confidence
Last synced: 4 months ago · JSON representation

Repository

Quantum GIS plugin for visibility analysis

Basic Info
  • Host: GitHub
  • Owner: zoran-cuckovic
  • License: gpl-3.0
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 4.67 MB
Statistics
  • Stars: 80
  • Watchers: 9
  • Forks: 22
  • Open Issues: 10
  • Releases: 4
Topics
qgis qgis2-python-plugins qgis3-plugin visibility-analysis
Created almost 12 years ago · Last pushed 6 months ago
Metadata Files
Readme License

README.md

Advanced viewshed analysis for QGIS

Version: 1.8

Supported QGIS version: 3.x

Licence: GNU GPLv3

Documentation: LandscapeArchaeology.org/qgis-visibility-analysis

Author: Zoran Čučković (web page)

Introduction:

Viewshed analysis plugin for QGIS calculates visible surface from a given observer point over a digital elevation model. The plugin is intended for more complex modelling, such as the depth below the visible horizon or generation of intervisibilty networks between groups of points. It is particularly performant for multiple viewshed calculations form a set of fixed points.

Installation:

The plugin is installed as any other from the official QGIS repository (In QGIS go to Plugins -> Manage and install ... ). Be sure to enable experimental versions if the latest plugin version is labelled as experimental.

In case the usual install doesn't work, the plugin can be installed manually:
First you need to locate your QGIS plugins folder. On Windows it would be 'C:\users\username\AppData\Roaming\QGIS\QGIS3\profiles\default\python\plugins' (do a file search for 'QGIS3' ...)

Plugin code can then be extracted in a new folder inside the plugins folder (you should name the folder VisibilityAnalysis). Take care that the code is not inside a subfolder - the folder structure should be like this:

  • QGIS3\profiles\default\python_plugins_
    • [some QGIS plugin folders...]
    • VisibilityAnalysis
      • visibility_plugin.py
      • visibility_provider.py
      • [other files and folders...]

Dependencies:

The plugin is coded in Python 3.6 and does not require any additional libraries than those provided by standard QGIS installation. These libraries include numpy and gdal for manipulating raster data, and PyQt5 and QGIS core libraries for integration with QGIS.

Community guidelines and feedback:

This project is released with a Contributor Code of Conduct (Contributor_code.md). By participating in this project you agree to abide by its terms. Feedback, bug reports (and fixes!), and feature requests are welcome and can be submitted at GitHub or reported directly through author's contact (above).

More information:

Documentation, tutorials and other stuff can be found on the plugin's webpage: https://zoran-cuckovic.github.io/QGIS-visibility-analysis
Data for testing purposes can be found at test data branch.

Owner

  • Name: Zoran Čučković
  • Login: zoran-cuckovic
  • Kind: user

JOSS Publication

Advanced viewshed analysis: a Quantum GIS plug-in for the analysis of visual landscapes
Published
August 09, 2016
Volume 1, Issue 4, Page 32
Authors
Zoran Cuckovic ORCID
UMR 6249 Laboratoire Chrono-environnement, Université Bourgogne Franche-Comté.
Editor
Arfon Smith ORCID
Tags
GIS raster viewshed

GitHub Events

Total
  • Issues event: 6
  • Watch event: 6
  • Issue comment event: 2
  • Push event: 20
  • Fork event: 6
Last Year
  • Issues event: 6
  • Watch event: 6
  • Issue comment event: 2
  • Push event: 20
  • Fork event: 6

Committers

Last synced: 5 months ago

All Time
  • Total Commits: 211
  • Total Committers: 9
  • Avg Commits per committer: 23.444
  • Development Distribution Score (DDS): 0.057
Past Year
  • Commits: 22
  • Committers: 1
  • Avg Commits per committer: 22.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Zoran Čučković c****n@g****m 199
Jan Caha j****a@o****m 3
Arfon Smith a****n 2
Zoran CUCKOVIC z****v 2
peach e****h@g****m 1
matteo m****a@g****m 1
PedroVenancio p****o@g****m 1
Florian Neukirchen m****l@r****e 1
Mickaël Brasebin m****n@a****r 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 77
  • Total pull requests: 9
  • Average time to close issues: 9 months
  • Average time to close pull requests: 3 months
  • Total issue authors: 63
  • Total pull request authors: 9
  • Average comments per issue: 2.4
  • Average comments per pull request: 1.22
  • Merged pull requests: 8
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 6
  • Pull requests: 0
  • Average time to close issues: 6 days
  • Average time to close pull requests: N/A
  • Issue authors: 4
  • Pull request authors: 0
  • Average comments per issue: 0.17
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • zoran-cuckovic (6)
  • PedroVenancio (4)
  • andregracioso (3)
  • Ludger81 (2)
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  • anitagraser (2)
  • ghtmtt (2)
  • TETRIXEcology (1)
  • Doctor-Who (1)
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  • plutext (1)
  • pigreco (1)
  • CommunyAS (1)
Pull Request Authors
  • kannes (2)
  • mbrasebin (2)
  • alexbruy (1)
  • arfon (1)
  • ghtmtt (1)
  • peach-e (1)
  • JanCaha (1)
  • PedroVenancio (1)
  • florianneukirchen (1)
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