Cambridge Spark Free Webinar - Managing Spatial Data Using Geopandas in Python

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About this webinar:

The pandas library has made data manipulation and analysis far easier in Python. But what happens when you need to analyse and manipulate geospatial data? This webinar will talk you through the use of GeoPandas to create and manipulate data frames with geometric data types covering importing, manipulating and outputting spatial data in Python, converting text/CSV files to spatial data and plotting spatial data using matplotlib.

About the speaker: Tim Hillel

Tim is a PhD student at Cambridge University looking into understanding multi-modal passenger behaviour at city-scale. His research interests are in transport modelling, machine learning and big data.
  1. Cambridge Spark
  2. Python
  3. Data Science
  4. Tutorial
  5. Webinar
  6. #hangoutsonair
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If anyone is wondering why the 'Warning: CRS does not match!' message pops up when running line 46 (at 37:00), there is a typo when entering the CRS in line 23 (at 20:00), with a comma used instead of a colon in the dictionary. That line should read: crs = {'init': 'epsg:4326'}.

timhillel