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https://github.com/carpentries-incubator/geospatial-python

Introduction to Geospatial Raster and Vector Data with Python
https://github.com/carpentries-incubator/geospatial-python

carpentries carpentries-incubator education english geospatial-data lesson pre-alpha python

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Introduction to Geospatial Raster and Vector Data with Python

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README 

        
# Introduction to Geospatial Raster and Vector Data with Python



[![Create a Slack Account with us](https://img.shields.io/badge/Create_Slack_Account-The_Carpentries-071159.svg)](https://swc-slack-invite.herokuapp.com/)



## The Lesson

Check out https://carpentries-incubator.github.io/geospatial-python/ to view the lesson as it currently stands. Episodes 1-7 and Episode 12 are currently complete. Epsiodes 1-7 have been taught previously in workshop settings, read more about that experience and feedback [here](https://carpentries.org/blog/2020/03/teaching-a-new-geospatial-python-lesson/). Other episodes still need to be fleshed out and we welcome contributions!



## Teaching this lesson?

Do you want to Introduction to Geospatial Raster and Vector Data with Python? This material is open-source and freely available. 

Are you planning on using our material in your teaching? 

We would love to help you prepare to teach the lesson and receive feedback on how it could be further improved, based on your experience in the workshop.



You can notify us that you plan to teach this lesson by creating an issue in this repository. Also, it would be great if you can update [this overview of all workshops taught with this lesson material](workshops.md). This helps us show the impact of developing open-source lessons to our funders.



## Contributing



We welcome all contributions to improve the lesson! Maintainers will do their best to help you if you have any questions, concerns, or experience any difficulties along the way.



Please see the current list of [issues](https://github.com/carpentries-incubator/geospatial-python/issues) for ideas for contributing to this

repository. For making your contribution, we use the GitHub flow, which is

nicely explained in the chapter [Contributing to a Project](http://git-scm.com/book/en/v2/GitHub-Contributing-to-a-Project) in Pro Git

by Scott Chacon.

Look for the tag ![good_first_issue](https://img.shields.io/badge/-good%20first%20issue-gold.svg). This indicates that the mantainers will welcome a pull request fixing this issue.



We are looking for more active developers of this lesson. Edits to existing lesson episodes or additions to new episodes are welcome. If you are interested in contributing a new episode, you can either start by creating a new Github Issue to start discussion or dive in and submit a new Pull Request.



Check out the [Contribution Guide](CONTRIBUTING.md) and [more detailed guidelines][lesson-example] on proper formatting, how to preview the lesson locally, and how to write new episodes.



 ️💚️ Thanks Contributors! 💚 





  



Made with [contrib.rocks](https://contrib.rocks).



## Acknowledgements



### Funding

The data and lessons in this workshop were originally developed through a hackathon funded by the

[National Ecological Observatory Network (NEON)](https://www.neonscience.org/) - an NSF funded observatory in Boulder, Colorado - in

collaboration with Data Carpentry, SESYNC and CYVERSE. NEON is collecting data for 30 years to help scientists understand

how aquatic and terrestrial ecosystems are changing.



### Thanks Geospatial R Authors!

This lesson would not be possible without the many contributions from the authors of the [Introduction to Geospatial Raster and Vector Data with R](https://github.com/datacarpentry/r-raster-vector-geospatial) and [Introduction to Geospatial Concepts](https://github.com/datacarpentry/organization-geospatial) lessons. These lessons have served as templates for this geospatial python lesson.



Data Carpentry Introduction to Geospatial Raster and Vector Data with R

Leah Wasser; Megan A. Jones; Jemma Stachelek; Lachlan Deer; Zack Brym; Lauren O'Brien; Ana Costa Conrado; Aateka Shashank; Kristina Riemer; Anne Fouilloux; Juan Fung; Marchand; Tracy Teal; Sergio Marconi; James Holmquist; Mike Smorul; Punam Amratia; Erin Becker; Katrin Leinweber

Editors: Jemma Stachelek; Lauren O'Brien; Jane Wyngaard

https://doi.org/10.5281/zenodo.1404424



Data Carpentry Introduction to Geospatial Concepts

Leah Wasser; Megan A. Jones; Lauren O'Brien; Jemma Stachelek; Tom Wright; Tracy Teal; Dev Paudel; Jane Wyngaard; Anne Fouilloux; Bidhyananda Yadav; Chris Prener; Tyson Swetnam; Erin Becker; Katrin Leinweber

Editor(s): Tyson Swetnam; Chris Prener

https://doi.org/10.5281/zenodo.1404414



## Maintainer(s)



The current maintainer of this lesson is



* Ryan Avery



## Citation



To cite this lesson, please consult with [CITATION](CITATION)



[lesson-example]: https://carpentries.github.io/lesson-example