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Spatial Behavioral Science

56 minutes admin 17 views Internal

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Overview

Spatial Behavioral Science
Advanced campus analytics: From desire paths to kinetic mapping and automated conflict detection

Prerequisites

Completed the Desire Path Analysis article
Understanding of pandas, Folium, and EXIF metadata extraction
Familiarity with basic clustering algorithms

Learning Outcomes

Implement four advanced spatial behavioral science projects
Calculate velocity between GPS points using the Haversine formula
Create color-coded kinetic maps (red = friction, green = flow)
Use DBSCAN clustering to automatically detect conflict zones
Build a modular SpatialIntelligenceEngine class for enterprise-grade analysis

Tutorial Info

Type Interactive

Difficulty Intermediate

Duration 56 minutes

Provider Internal

Published Mar 17, 2026

Last Updated Jun 04, 2026