Geospatial Data Science in Python
Syllabus
Schedule
Section 401
Section 402
Content
Assignments
Overview
Section 401
Section 402
Resources
GitHub
Canvas
Ed Discussion
5. More Geospatial Analysis: Street Networks and Raster Data
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
Reference & Additional Readings
Week 5: More Geospatial Analysis: Street Networks & Raster Data
Content for lectures 5A and 5B
View materials:
MUSA-550-Fall-2023/week-5
HTML slides:
Lecture 5A
Lecture 5B
Executable slides:
Lecture 5A
Lecture 5B
Topics
Analyzing OpenStreetMap data with osmnx and pandana
Working with raster data in Python with rasterio
Reference & Additional Readings
OSMnx
GitHub
Introductory Blog Post
Jupyter Notebook Examples
Documentation
Street orientation example
Pandana
GitHub
Jupyter Notebook Examples
Documentation
OpenStreetMap
OSM Wikipedia
List of OSM feature types
List of OSM amenities
Bounding box tool
Rasterio documentation
EarthPy examples gallery
Plotting with rasterio
LandSat bands
Tutorial on Landsat data
Xarray overview
4. Geospatial Analysis & Mapping
6. Web Scraping