Managing Spatial Data Using Geopandas in Python

Data Science Webinar by Tim Hillel, Cambridge Spark

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.