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r-intro-geospatial

https://github.com/fishtree-attempt/r-intro-geospatial

Science Score: 41.0%

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    Links to: zenodo.org
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Created about 3 years ago · Last pushed about 2 years ago
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Readme Contributing License Code of conduct Citation

README.md

ATTENTION This is an experimental test of The Carpentries Workbench lesson infrastructure. It was automatically converted from the source lesson via the lesson transition script.

If anything seems off, please contact Zhian Kamvar zkamvar@carpentries.org

DOI Website Create a Slack Account with us Slack Status

Intro to R for Geospatial data

An introduction to R for non-programmers using the Gapminder data. Please see https://datacarpentry.org/r-intro-geospatial for a rendered version of this material, the lesson template documentation for instructions on formatting, building, and submitting material, or run make in this directory for a list of helpful commands.

The goal of this lesson is to revise best practices for using R in data analysis. This lesson is a modification of the Software Carpentry: Programming with R, and is part of the Data Carpentry Geospatial Curriculum. It introduces the R skills needed in the Introduction to Raster and Vector Geospatial Data lesson.

R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. These materials are designed to provide attendees with a concise introduction in the fundamentals of R, and to introdue best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation, before getting started with working with geospatial data.

Note that this workshop focuses on the fundamentals of the programming language R, and not on statistical analysis.

The lesson contains material than can be taught in about 4 hours. The instructor notes page has some suggested lesson plans suitable for a one or half day workshop.

Maintainers:

  • Leah Wasser
  • Jemma Stachelek
  • Tyson Swetnam
  • Lauren O'Brien
  • Janani Selvaraj
  • Lachlan Deer
  • Chris Prener
  • Juan Fung

Owner

  • Name: Carpentries Sandbox
  • Login: fishtree-attempt
  • Kind: organization
  • Email: zkamvar+fishtree@carpentries.org

Testing The Carpentries Workbench

Citation (CITATION) 

Data Carpentry: Introduction to R for Geospatial Data
Lachlan Deer; Juan Fung; Anne Fouilloux; Kok Ben Toh; Chris Prener; François Michonneau; Naupaka Zimmerman; Jeffrey Oliver; David Mawdsley; Erin Becker; Rayna Harris; Claudia Engel; Ido Bar; Katrin Leinweber; Paula Andrea Martinez; butterflyskip; Kevin Weitemier; Marieke Frassl; Matt Clark; Miles McBain; Preethy Nair; Raniere Silva; Richard McCosh; Vicken Hillis
Editor(s): Janani Selvaraj; Lachlan Deer; Juan Fung
https://doi.org/10.5281/zenodo.1404416

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requirements.txt pypi
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  • PyYAML *
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