geospatial-data-science-with-julia

Geospatial Data Science with Julia

https://github.com/juliaearth/geospatial-data-science-with-julia

Science Score: 44.0%

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

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (6.3%) to scientific vocabulary

Keywords

book computational data geo geometry geospatial geostatistics julia science statistics

Keywords from Contributors

julialang data-structures datastructures graph-algorithms graph-analytics graph-theory graphs juliagraphs data-frame dataframes
Last synced: 6 months ago · JSON representation ·

Repository

Geospatial Data Science with Julia

Basic Info
Statistics
  • Stars: 115
  • Watchers: 9
  • Forks: 17
  • Open Issues: 1
  • Releases: 0
Topics
book computational data geo geometry geospatial geostatistics julia science statistics
Created over 2 years ago · Last pushed 6 months ago
Metadata Files
Readme Funding Citation

README.md

Geospatial Data Science with Julia

This repository hosts the source code of the book Geospatial Data Science with Julia.

The book is available online for free at https://juliaearth.github.io/geospatial-data-science-with-julia

Build instructions

To build this book, you need:

  • Julia v1.11
  • Quarto
  1. Open the Julia REPL and instantiate the environment in this folder:

julia import Pkg Pkg.activate(".") Pkg.instantiate() 2. Go to any *.qmd file and run the following in the terminal:

sh quarto preview index.qmd

Your web browser will open a tab with the book rendered.

Optional

If you prefer to work with VSCode, install the Quarto VSCode extension. Edit the files and press the render button.

Owner

  • Name: JuliaEarth
  • Login: JuliaEarth
  • Kind: organization

Fostering geospatial data science and geostatistical modeling in Earth sciences

Citation (CITATION.bib)

@book{Hoffimann2023,
  title = {Geospatial Data Science with {{Julia}}},
  author = {Hoffimann, Júlio},
  year = {2023}
}

GitHub Events

Total
  • Watch event: 26
  • Issue comment event: 1
  • Push event: 58
  • Fork event: 1
Last Year
  • Watch event: 26
  • Issue comment event: 1
  • Push event: 58
  • Fork event: 1

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 298
  • Total Committers: 9
  • Avg Commits per committer: 33.111
  • Development Distribution Score (DDS): 0.06
Past Year
  • Commits: 298
  • Committers: 9
  • Avg Commits per committer: 33.111
  • Development Distribution Score (DDS): 0.06
Top Committers
Name Email Commits
Júlio Hoffimann j****n@g****m 280
Elias Carvalho e****v@g****m 8
Erick e****7@g****m 4
Bogumił Kamiński b****s@s****l 1
DanielVandH d****l@g****m 1
Kyle Beggs b****w@g****m 1
Max de Bayser m****r@b****m 1
Ronan Arraes Jardim Chagas r****r@g****m 1
Daniel VandenHeuvel 9****H 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: about 2 years ago

All Time
  • Total issues: 6
  • Total pull requests: 10
  • Average time to close issues: 10 days
  • Average time to close pull requests: about 6 hours
  • Total issue authors: 5
  • Total pull request authors: 6
  • Average comments per issue: 4.5
  • Average comments per pull request: 0.4
  • Merged pull requests: 9
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 6
  • Pull requests: 10
  • Average time to close issues: 10 days
  • Average time to close pull requests: about 6 hours
  • Issue authors: 5
  • Pull request authors: 6
  • Average comments per issue: 4.5
  • Average comments per pull request: 0.4
  • Merged pull requests: 9
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • ErickChacon (2)
  • daviewales (1)
  • sylvaticus (1)
  • bkamins (1)
  • ronisbr (1)
  • juliohm (1)
Pull Request Authors
  • ErickChacon (5)
  • kylebeggs (1)
  • ronisbr (1)
  • maxdebayser (1)
  • eliascarv (1)
  • juliohm (1)
  • bkamins (1)
  • dependabot[bot] (1)
  • DanielVandH (1)
Top Labels
Issue Labels
enhancement (2) good first issue (1) question (1)
Pull Request Labels
dependencies (1)