Intro to R for Geospatial data
Provides an introduction to R for learners working with geospatial data.
https://github.com/datacarpentry/r-intro-geospatial
Category: Sustainable Development
Sub Category: Education
Keywords
carpentries data-carpentry data-visualisation data-visualization data-wrangling english geospatial geospatial-data lesson open-educational-resources r stable
Keywords from Contributors
ecology fair-principles sustainable-software tibfds carpentry-lesson r-tutorial software-carpentry carpentries-incubator carpentries-lab metagenomics
Last synced: about 20 hours ago
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Repository metadata
Introduction to R for Geospatial Data
- Host: GitHub
- URL: https://github.com/datacarpentry/r-intro-geospatial
- Owner: datacarpentry
- License: other
- Created: 2018-04-05T15:28:24.000Z (about 7 years ago)
- Default Branch: main
- Last Pushed: 2025-03-25T00:25:23.000Z (about 1 month ago)
- Last Synced: 2025-03-26T20:49:32.038Z (about 1 month ago)
- Topics: carpentries, data-carpentry, data-visualisation, data-visualization, data-wrangling, english, geospatial, geospatial-data, lesson, open-educational-resources, r, stable
- Language: R
- Homepage: https://datacarpentry.org/r-intro-geospatial/
- Size: 128 MB
- Stars: 46
- Watchers: 12
- Forks: 70
- Open Issues: 12
- Releases: 2
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION
README.md
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:
- Johanna Bayer
- Mike Mahoney
- Alber Sánchez
Previous maintainers:
- Leah Wasser
- Jemma Stachelek
- Tyson Swetnam
- Lauren O'Brien
- Janani Selvaraj
- Lachlan Deer
- Chris Prener
- Juan Fung
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
Owner metadata
- Name: Data Carpentry
- Login: datacarpentry
- Email: [email protected]
- Kind: organization
- Description: Workshops teaching scientists basic skills for retrieving, viewing, managing, and manipulating data in an open and reproducible way.
- Website: https://datacarpentry.org/
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/6666450?v=4
- Repositories: 89
- Last ynced at: 2023-03-13T13:55:49.004Z
- Profile URL: https://github.com/datacarpentry
GitHub Events
Total
- Issues event: 13
- Delete event: 16
- Issue comment event: 13
- Push event: 65
- Pull request review event: 1
- Pull request event: 16
- Fork event: 1
- Create event: 17
Last Year
- Issues event: 13
- Delete event: 16
- Issue comment event: 13
- Push event: 65
- Pull request review event: 1
- Pull request event: 16
- Fork event: 1
- Create event: 17
Committers metadata
Last synced: 5 days ago
Total Commits: 920
Total Committers: 140
Avg Commits per committer: 6.571
Development Distribution Score (DDS): 0.884
Commits in past year: 9
Committers in past year: 4
Avg Commits per committer in past year: 2.25
Development Distribution Score (DDS) in past year: 0.333
| Name | Commits | |
|---|---|---|
| Scott Ritchie | s****3@g****m | 107 |
| François Michonneau | f****u@g****m | 61 |
| Naupaka Zimmerman | n****a@g****m | 60 |
| Erin Becker | e****r@g****m | 58 |
| Greg Wilson | g****n@s****g | 58 |
| Pip Griffin | p****n@g****m | 35 |
| Harriet Dashnow | h****w@g****m | 32 |
| Andy Teucher | a****r@g****m | 29 |
| Tom Wright | t****m@m****m | 27 |
| Vince Polito | v****3@g****m | 25 |
| Raniere Silva | r****e@r****m | 20 |
| Mateusz Kuzak | m****k@g****m | 19 |
| Lachlan Deer | l****r@u****h | 16 |
| Robert McDonald | r****4@g****m | 14 |
| Timothy Rice | t****e@m****u | 13 |
| Bill Mills | m****j@g****m | 10 |
| Karl Broman | k****n@g****m | 10 |
| Remi Daigle | r****e@d****a | 10 |
| tobyhodges | t****s | 9 |
| Andy Boughton | a****t@g****m | 9 |
| Noel Faux | n****x@u****u | 9 |
| Sam Penrose | s****e@m****m | 9 |
| Ben Bolker | b****r@g****m | 8 |
| Serah Njambi Rono | s****u@g****m | 8 |
| Jeffrey Oliver | j****r@e****u | 8 |
| Nicholas Lesniak | N****k@u****u | 7 |
| Tim Moore | t****e@u****u | 7 |
| Jeffrey Arnold | j****d@g****m | 7 |
| Michael Mahoney | m****8@g****m | 6 |
| albhasan | a****n@g****m | 6 |
| and 110 more... | ||
Committer domains:
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- gfz-potsdam.de: 2
- berkeley.edu: 2
- umich.edu: 2
- uconn.edu: 2
- carpentries.org: 2
- myself.com: 1
- nceas.ucsb.edu: 1
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- wligtenberg.nl: 1
- manchester.ac.uk: 1
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- imperial.ac.uk: 1
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- unl.edu: 1
- ucr.edu: 1
- colostate.edu: 1
- geo.uio.no: 1
- jhmi.edu: 1
- sfu.ca: 1
- cornell.edu: 1
Issue and Pull Request metadata
Last synced: 2 days ago
Total issues: 61
Total pull requests: 115
Average time to close issues: 11 months
Average time to close pull requests: 3 months
Total issue authors: 27
Total pull request authors: 45
Average comments per issue: 2.15
Average comments per pull request: 1.18
Merged pull request: 92
Bot issues: 0
Bot pull requests: 0
Past year issues: 4
Past year pull requests: 12
Past year average time to close issues: 4 months
Past year average time to close pull requests: 21 days
Past year issue authors: 1
Past year pull request authors: 5
Past year average comments per issue: 0.25
Past year average comments per pull request: 1.25
Past year merged pull request: 9
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- ErinBecker (11)
- lachlandeer (6)
- cengel (6)
- sstevens2 (4)
- maneesha (4)
- fmichonneau (4)
- annajiat (3)
- zkamvar (3)
- albhasan (2)
- tobyhodges (1)
- LucaDiStasio (1)
- gklarenberg (1)
- denironyx (1)
- lcsanford (1)
- ShailyGandhi (1)
Top Pull Request Authors
- ErinBecker (26)
- fmichonneau (8)
- albhasan (6)
- carpentries-bot (6)
- serahkiburu (5)
- jonjab (5)
- tobyhodges (5)
- annefou (4)
- mikemahoney218 (4)
- dpshelio (4)
- lachlandeer (3)
- kristi-sara (3)
- annajiat (2)
- alevan2p (2)
- wartini-ng (2)
Top Issue Labels
- good first issue (6)
- help wanted (6)
- type:clarification (3)
- status:in progress (3)
- type:enhancement (3)
- type:discussion (2)
- type:template and tools (2)
Top Pull Request Labels
- pre-workbench (7)
- type: package cache (5)
- high priority (3)
- type: template and tools (1)
- status:waiting for response (1)
- type:template and tools (1)
Dependencies
- CommonMark *
- PyYAML *
- pandocfilters *
- update-copyright *
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Score: 9.002085433155724