Introduction to Geospatial Data Analysis with Python | SciPy 2018 Tutorial | Serge Rey




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This tutorial is an introduction to geospatial data analysis in Python, with a focus on tabular vector data. It is the first part in a series of two tutorials; this part focuses on introducing the participants to the different libraries to work with geospatial data and will cover munging geo-data and exploring relations over space. This includes importing data in different formats (e.g. shapefile, GeoJSON), visualizing, combining and tidying them up for analysis, and will use libraries such as `pandas`, `geopandas`, `shapely`, `PySAL`, or `rasterio`. The second part will built upon this and focus on more more advanced geographic data science and statistical methods to gain insight from the data.

No previous experience with those geospatial python libraries is needed, but basic familiarity with geospatial data and concepts (shapefiles, vector vs raster data) and pandas will be helpful.

See tutorial materials here: https://scipy2018.scipy.org/ehome/299527/648136/

See the full SciPy 2018 playlist here: https://www.youtube.com/playlist?list=PLYx7XA2nY5Gd-tNhm79CNMe_qvi35PgUR

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Comment List

  • Enthought
    November 23, 2020

    The link to the material doesn't work, but it can be found here: https://github.com/geopandas/scipy2018-geospatial-data.git

  • Enthought
    November 23, 2020

    The material link is not work

  • Enthought
    November 23, 2020

    Please i've encoutered some probem relative to spatial join function geopandas.sjoin , have you guys any idea about how can i fix it
    AttributeError: 'NoneType' object has no attribute 'intersection'
    geopandas.sjoin(cities,countries,…….)
    type(countries.geometry[0] => shapely.multypolygon , cities => point )
    Thank you

  • Enthought
    November 23, 2020

    The tutorial which the instructor is referring in the lecture is this one https://www.youtube.com/watch?v=AmidIx6Jmn8

  • Enthought
    November 23, 2020

    the French guy causes me anxiety, why so rushed? damn, relax you have 3 hours. Very little explanation of WHY we are typing this code and for what reason. Much better off reading the notebook

  • Enthought
    November 23, 2020

    I love it, It's very helpful. Thank you very much

  • Enthought
    November 23, 2020

    Where can I access this notebook?

  • Enthought
    November 23, 2020

    Awesome video! Thank you for developing this amazing piece of software!

  • Enthought
    November 23, 2020

    Thank you for this tutorial.

  • Enthought
    November 23, 2020

    Really, this is a very nice and informative video. Sir, I have a query. Please respond. I want to analyze atmospheric science data in netCDF format for my research purpose. If you have any useful resource for that purpose please share the weblink with me. It will be an immense help. I will be waiting for your response. Thank you, Enthought.

  • Enthought
    November 23, 2020

    Presentation repo: https://github.com/geopandas/scipy2018-geospatial-data
    But couldn't get jupyter to work with my conda environment for nothing in my life even though check_environment runs fine on the terminal.

    I dislike using binder, it takes ages to load the env.

  • Enthought
    November 23, 2020

    For anyone who searches the link to the material: here 🙂 https://github.com/geopandas/scipy2018-geospatial-data

  • Enthought
    November 23, 2020

    Very good and informative this presentation. Please, by gentlemently, Where are tutorial materials? The link is broken. Please give the direct link, and do not sparse information. Thank you very much!

  • Enthought
    November 23, 2020

    The link to the conference website looks like it has gone down. The GitHub repository for the data is available at: https://github.com/geopandas/scipy2018-geospatial-data

  • Enthought
    November 23, 2020

    How can I get the materials? The link doesn't work out

  • Enthought
    November 23, 2020

    I hope the data should work I will try it in the coming weeks. Thank you so much.

  • Enthought
    November 23, 2020

    Hi! Could I please have the Berlin Airbnb dataset? Thnx!

  • Enthought
    November 23, 2020

    One of the many problems I find in this sort of tutorial is the assumption that the audience can follow the high-level statistical analysis that is part of the daily life of the presenters. The first part of the tutorial is very basic and introduces the library in a smooth way, and then you catch yourself going through a bunch of theoretical analysis causing you to just smile and accept that you can't follow up anymore. I really appreciate the video, but as I usually feel in this sort of tutorials, just ended it a bit frustrated for the lack of care with the more advanced concepts.

  • Enthought
    November 23, 2020

    geopandas module is not installed

  • Enthought
    November 23, 2020

    Very informative video . A must watch for all those who are beginners in this field. Thankyou Serge

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