Giter Club home page Giter Club logo

geospatial-python's Introduction

Introduction to Geospatial Raster and Vector Data with Python

Create a Slack Account with us

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. Other episodes still need to be fleshed out and we welcome contributions!

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 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 in Pro Git by Scott Chacon. Look for the tag good_first_issue. 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 and more detailed guidelines on proper formatting, how to preview the lesson locally, and how to write new episodes.

๏ธ๐Ÿ’š๏ธ Thanks Contributors! ๐Ÿ’š


Ryan Avery

Kunal Marwaha

Alex Pakalniskis

Brendan McAndrew

Sean McCartney

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 and Introduction to Geospatial Concepts 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

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.