Syllabus

Week 1: Introduction

• Lecture: Geographic Data Science.
• Tutorial: (Geo-)Data Science tools.

Week 2: Spatial Data

• Lecture: Geo-Data.
• Tutorial: Tidy Data.

Week 3: (Geo)Visualization

• Lecture: (Geo)Visualization.
• Tutorial: Manipulating geospatial data in Python.

Week 4: Choropleth mapping

• Lecture: Choropleth mapping.
• Tutorial: Mapping deprivation.

Week 5: Spatial Weights

• Lecture: Spatial Weights.
• Tutorial: Spatial Weights with PySAL.

Week 6: ESDA

• Lecture: Exploratory Spatial Data Analysis (ESDA).
• Tutorial: ESDA in Python.

Week 7: No class

This week there will not be a lecture or a computer lab.

Week 8: Clustering

ASSIGNMENT 1 due on Wednesday, November 18th-2015.

• Lecture: Clustering.
• Tutorial: Geodemographic analysis.

Week 9: Point Data

• Lecture: Point Data.
• Tutorial: Exploring Twitter patterns.

Week 10: (Spatial) causal inference

• Lecture: Spatial causal inference.
• Tutorial: Assignment Clinic.

Week 11: GDS Applications

• Lecture: Applications of Geographic Data Science.
• Tutorial: Assignment Clinic.

Week 12: Geographic Data Science in Action

ASSIGNMENT 2 due on Friday, December 18th-2015.

• Lecture: Geographic Data Science in the wild.
• Tutorial: Assignment Clinic.