Overview¶
Lesson contents:
Learning goals¶
After this class, you should be able to:
- Create new geometries based on overlay analysis
- Aggregate geometries
- Simplify geometries
- Classify data based on different criteria using common classifiers, and custom classifiers
Sources¶
Following materials are partly based on documentation of Geopandas, Pandas, Shapely, and pysal.
Lesson videos¶
Lesson 4 - Data reclassification
Vuokko Heikinheimo, University of Helsinki @ AutoGIS channel on Youtube.
Contents:
- Data reclassification - intro 0:00
- Reading input data 07:00
- Plotting a simple choropleth map with a classification 9:30
- Pysal mapclassify 13:55
- Applying a classifier on a DataFrame 18:08
- Plotting a histogram 27:08
- Creating a custom classifier 36:08
- Exercise 4 intro 42:30
Lesson 4 - Creating a Python GIS environment using conda
Vuokko Heikinheimo, University of Helsinki @ AutoGIS channel on Youtube.