Week 5 videos

Clustering analysis lecture

• Introduction 1m21s

Choropleth maps as classified maps

• Choropleth maps are classified 3m36s
• Choropleth classification schemes 2m00s

The motivation for Classification

• Classification is fundamental to knowledge 3m44s
• The Monopoly sets analogy 3m54s

How classification works

I strongly encourage you to explore the demonstration web pages linked from the slides.

• Classification based on the data 4m33s
• An aside: bivariate choropleths 1m46s
• Letting the data speak: statistical clustering 2m06s
• Demonstrating k-means clustering 9m19s
• An alternative demo of k-means 2m33s
• Reflections on k-means 3m13s

Other methods

• Other methds and DBScan example on a smiley face 3m28s

Wrap

• Summary 1m52s

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Examples of clustering analysis lecture

This material is from 2020 (COVID year zero), and at times it shows—some of the cuts from one video to the next are a little wonky. However, the overview provided is still relevant and holds true.

• Introduction 2m56s
• Land Environments of New Zealand 10m47s
• LENZ applications 3m16s
• Geodemographics 7m22ss
• Thoughts on geodemographics 4m45s