gds17

Geographic Data Science'17

https://github.com/darribas/gds17

Science Score: 49.0%

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 README
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.2%) to scientific vocabulary

Keywords

data-science gis pysal python
Last synced: 4 months ago · JSON representation

Repository

Geographic Data Science'17

Basic Info
  • Host: GitHub
  • Owner: darribas
  • License: other
  • Language: HTML
  • Default Branch: master
  • Size: 189 MB
Statistics
  • Stars: 38
  • Watchers: 3
  • Forks: 7
  • Open Issues: 0
  • Releases: 1
Topics
data-science gis pysal python
Created over 8 years ago · Last pushed about 5 years ago
Metadata Files
Readme License Codemeta

README.md

Geographic Data Science


:warning::warning::warning: IMPORTANT :warning::warning::warning:

This is the version of the course delivered in 2019 and it is currently archived. A superseeding version of this course is available at:

https://darribas.org/gds_course

Development can be followed at:

https://github.com/darribas/gds_course


| OS | Status | | ------- | -----------------| | Linux & macOS | Build Status | | Windows | Build status |

Material and website for the course Geographic Data Science'17, taught by Dani Arribas-Bel at the University of Liverpool. The course was open to last-year undergraduate and master students.

This repository contains all the materials used, but the preferred way to access them is through the website:

http://darribas.org/gds17

NOTE: This course is an evolution and update of GDS'16.

Citation

DOI

If you use material from this course, I would appreciate if you used the following citation:

@online{darribas_gds17, author = {Dani Arribas-Bel}, title = {Geographic Data Science'17}, year = 2018, url = {http://darribas.org/gds17}, urldate = {2018-01-04}, doi = {10.5281/zenodo.1135210} }

License

Creative Commons License
Geographic Data Science'17 by Dani Arribas-Bel is licensed under a Creative Commons Attribution 4.0 International License.

Owner

  • Name: Dani Arribas-Bel
  • Login: darribas
  • Kind: user

CodeMeta (codemeta.json)

{
  "@context": "https://raw.githubusercontent.com/codemeta/codemeta/master/codemeta.jsonld",
  "@type": "Code",
  "author": [],
  "identifier": "10.5281/zenodo.1135210",
  "codeRepository": "https://github.com/darribas/gds17",
  "datePublished": "2018-08-06",
  "dateModified": "2018-08-06",
  "dateCreated": "2018-08-06",
  "description": "A course on Geographic Data Science",
  "keywords": "Geographic Data Science, GIS, Data Science, geopandas, pysal",
  "license": "CC-BY",
  "title": "Geographic Data Science",
  "version": "1.0"
}

GitHub Events

Total
  • Watch event: 1
Last Year
  • Watch event: 1

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 78
  • Total Committers: 1
  • Avg Commits per committer: 78.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Dani Arribas-Bel d****l@g****m 78

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total 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
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
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