Campus Desire Path Analysis with Python
55 minutes
admin
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Internal
Overview
Use image metadata to identify human movement patterns and optimize campus infrastructure
Prerequisites
Basic Python programming (loops, functions, pandas)
Understanding of GPS coordinate systems
Completed the Image Metadata Spatial Mapper article (recommended)
Learning Outcomes
Extract GPS and timestamp data from campus photos using EXIF metadata
Implement time-based interpolation to fill gaps in movement data
Create multi-layered Folium maps with Heatmap, AntPath, and measurement tools
Interpret spatial patterns to identify desire paths and friction points
Build a time-slider map for behavioral analysis across different times of day
Tutorial Info
Type
Interactive
Difficulty
Intermediate
Duration
55 minutes
Provider
Internal
Published
Mar 17, 2026
Last Updated
May 27, 2026