Overview ======== Lesson contents: 1. `Geometric operations: Overlay analysis <../../notebooks/L4/geometric-operations.ipynb>`__ 2. `Data classification <../../notebooks/L4/reclassify.ipynb>`__ 3. :doc:`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 -------------- .. admonition:: Lesson 4 - Overlay analysis .. raw:: html

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 .. admonition:: Lesson 4 - Data reclassification .. raw:: html

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 .. admonition:: Lesson 4 - Creating a Python GIS environment using conda .. raw:: html

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