Webinar (2020-Dec-09) by Marie-Hélène Burle
In this webinar, we introduce simple GIS tasks as well as map production in R using the packages
Webinar (2019-Dec-11) by Ian Percel
This webinar provides an introduction to basic tools of spatial data analysis and modelling that are available as open source libraries in Python. It consists of two parts: GeoPandas and the parallelization of spatial joins.
The first portion of the talk introduces the core API of GeoPandas and emphasizes how it can be used to link relational data structures to geometric objects that represent spatial subsets. This includes a brief introduction to loading data from geodatabases, mapping, aggregating, spatial filtering, and simple spatial joins. The second portion of the talk focuses on how to implement parallel versions of spatial join operations. This examines alternatives that have been developed in the data science community for providing more efficient handling of GEOS pointers and subclassing Dask DataFrames.