Geospatial Data Science in Python
Syllabus
Schedule
Section 401
Section 402
Content
Assignments
Overview
Section 401
Section 402
Resources
GitHub
Canvas
Ed Discussion
4. Geospatial Analysis & Mapping
Weekly Course Content
1. Exploratory Data Science in Python
2. Data Visualization Fundamentals
3. More Interactive Data Viz, Intro to Vector Data & GeoPandas
4. Geospatial Analysis & Mapping
5. More Geospatial Analysis: Street Networks and Raster Data
6. Web Scraping
7. Working with APIs
8. Analyzing and Visualizing Large Datasets
9. From Notebooks to the Web: Part 1
10. From Notebooks to the Web: Part 2
11. Clustering Analysis in Python
12. Predictive Modeling with Scikit-Learn, Part 1
13. Predictive Modeling with Scikit-Learn, Part 2
14. Advanced Raster Analysis
On this page
Topics
Readings
References
Week 4: Geospatial Analysis & Mapping
Content for lectures 4A and 4B
View materials:
MUSA-550-Fall-2023/week-4
HTML slides:
Lecture 4A
Lecture 4B
Executable slides:
Lecture 4A
Lecture 4B
Topics
Visualizing geospatial data
Interactive web maps with Folium
Readings
GeoPandas
Choropleth Maps
Classification Schemes
Folium
References
HoloViews user guide
and
gallery
GeoViews user guide
and
gallery
Folium user guide
3. More Interactive Data Viz, Intro to Vector Data & GeoPandas
5. More Geospatial Analysis: Street Networks and Raster Data