Yongze Song

Senior Lecturer (Associate Professor)
School of Design and the Built Environment
Curtin University
Perth, 6102, WA, Australia
Email: yongze.song@curtin.edu.au

Innovative Geospatial Methods

Second-Dimension Spatial Association (SDA) for spatial prediction.
R package “SecDim” | publication

Geographically Optimal Similarity (GOS) for the Third Law of Geography.
R package “geosimilarity” | publication

Generalized Heterogeneity Model (GHM) for spatial prediction. | Publication

Optimal Parameters-based Geographical Detectors (OPGD) for spatial factor exploration.
R package “GD” | publication
Geodetector model and “GD” R package: Q & A


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Sustainable Infrastructure

Presentation at Harvard University | Youtube | Video