Overview

Lesson contents:

  1. Geometric operations: Overlay analysis
  2. Data classification
  3. Exercise 4

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 - Overlay analysis

Vuokko Heikinheimo, University of Helsinki @ AutoGIS channel on Youtube.

Contents:

  • Intro 0:00
  • Downloading input data 06:26
  • Reading in data 09:05
  • Info about the Travel Time Matrix data set 12:02
  • Overlay operation 23:40
  • Aggregating data 31:05
  • Simplifying geometries 47:40

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.