S-T LISA Sequences for identifying dynamic patterns of spatial-temporal association
Abstract
The zip file contains Python scripts and data for the article "LISA Path for identifying dynamic spatial-temporal heterogeneity pattern of human activities using human movement data". Further details and usage instructions are available in the readme.txt file.
Fields of Study & Subjects
Human Mobility and Location-Based Analysis
Spatial and Panel Data Analysis
Data Management and Algorithms
Publication details
- Journal / source
- Figshare
- Publication date
- 1 January 2026
- Document type
- Dataset