CUNY Women in STEM

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Google Summer of Code GIS Visualization

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    Hannah Aizenman
    Participant

    Hello,

    Looking for a student (undergraduate or graduate) for this. Happy to answer questions. The work is paid, remote and the coding is basic-intermediate Python, and understanding of GIS visualization principals is probably more important than coding proficiency. Applications close April 9th.

    Google Summer of Code is a global program focused on bringing more student developers into open source software development. Students work with an open source organization on a 3 month programming project during their break from school.

    Matplotlib (a major Python visualization library) is participating in Google Summer of Code this year under the Numfocus umbrella. Applications are due April 9. Please apply and encourage students you may think are a good fit to apply.

    Application instructions are at https://github.com/numfocus/gsoc

    Due to the short time frame, relaxing the requirements for pull requests/issues against the project.

    Applicants are welcome and encouraged to propose their own projects or build on the project we have proposed, which is a collaboration with the geopandas library.

    GeoPandas is a Python library that allows users to work with geospatial data in Python by providing geospatial operations in Pandas and a high-level interface to multiple geometries to shapely. It also facilitates exploratory visualization of geospatial data via descartes and Matplotlib.

    The visualization interface in geopandas is currently on the rough side; it generates simple polygon based maps that are inconsistent in terms of supporting matplotlib features such as color mapping and color bars.

    Find more information here: https://github.com/matplotlib/matplotlib/wiki/GSOC-2019-Ideas-Page

    Please respond to this email with questions or ask here: https://gitter.im/matplotlib/matplotlib?utm_source=share-link&utm_medium=link&utm_campaign=share-link

    Thank you,

    Hannah

    This topic was also posted in: GIS Working Group.
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