XLUR

XLUR: A land use regression wizard for ArcGIS Pro - Published in JOSS (2020)

https://github.com/anmolter/xlur

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 4 DOI reference(s) in README and JOSS metadata
  • Academic publication links
    Links to: joss.theoj.org, zenodo.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software

Keywords

arcgis lur python-toolbox

Scientific Fields

Engineering Computer Science - 40% confidence
Last synced: 6 months ago · JSON representation

Repository

A Python toolbox for ArcGIS Pro that enables the development and application of land use regression models.

Basic Info
  • Host: GitHub
  • Owner: anmolter
  • License: gpl-3.0
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 92.5 MB
Statistics
  • Stars: 14
  • Watchers: 2
  • Forks: 7
  • Open Issues: 4
  • Releases: 4
Topics
arcgis lur python-toolbox
Created over 6 years ago · Last pushed over 1 year ago
Metadata Files
Readme License

README.md

XLUR

DOI DOI

Usage

A Python toolbox for ArcGIS Pro that enables the development and application of land use regression models.

Instructions

XLUR was specifically developed as a toolbox for use within the ArcGIS Pro (v2.2.4 or higher, Environmental Systems Research Institute (ESRI), Redlands, CA) software. To use XLUR the following steps are recommended: 1. Clone or download the XLUR repository to a local drive. Avoid having spaces in the file path to the directory where you are storing the XLUR repository. 2. Click here to open the user manual in your web browser. Alternatively, you can open the manual that is stored in the XLUR repository: \XLUR\XLUR\Code\Documentation\XLUR_documentation.html . This will open the XLUR Wizard manual in a standard web browser. The manual contains the documentation for the XLUR tools and a tutorial section, which guides the user through a test run of XLUR. 3. Follow the instructions in the manual to install XLUR and to launch the tools.

Owner

  • Name: Anna Molter
  • Login: anmolter
  • Kind: user
  • Location: Dublin
  • Company: University College Dublin

JOSS Publication

XLUR: A land use regression wizard for ArcGIS Pro
Published
June 12, 2020
Volume 5, Issue 50, Page 2177
Authors
Anna Molter ORCID
Department of Geography, School of Environment, Education and Development, The University of Manchester
Editor
Hugo Ledoux ORCID
Tags
ArcGIS Pro Land use regression

GitHub Events

Total
  • Release event: 1
  • Watch event: 1
  • Issue comment event: 1
  • Push event: 1
  • Fork event: 1
  • Create event: 1
Last Year
  • Release event: 1
  • Watch event: 1
  • Issue comment event: 1
  • Push event: 1
  • Fork event: 1
  • Create event: 1

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 110
  • Total Committers: 2
  • Avg Commits per committer: 55.0
  • Development Distribution Score (DDS): 0.009
Past Year
  • Commits: 1
  • Committers: 1
  • Avg Commits per committer: 1.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Anna Molter 3****r 109
Arfon Smith a****n 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 4
  • Total pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: about 5 hours
  • Total issue authors: 4
  • Total pull request authors: 1
  • Average comments per issue: 1.5
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • pfung-maker (1)
  • 128114 (1)
  • dmzelman (1)
  • WengWeiHsiang1209 (1)
Pull Request Authors
  • arfon (1)
Top Labels
Issue Labels
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