Yongze Song

PI, Senior Lecturer, Curtin University

Part I. Spatial prediction models

1. Second-Dimension Spatial Association (SDA). International Journal of Applied Earth Observation and Geoinformation.
   • R package “SecDim”
2. Geographically Optimal Similarity (GOS). Mathematical Geosciences.
   • R package “geosimilarity”
3. Geocomplexity explains spatial errors. International Journal of Geographical Information Science. (No. 1 Most Read Article)
4. Generalized Heterogeneity Model (GHM). International Journal of Geographical Information Science. (Top 10 Most Read Article)
5. Segment-based Regression Kriging (SRK). IEEE Transactions on Intelligent Transportation Systems.
6. Dynamic Trade-Off Model (DTOM). IEEE Transactions on Intelligent Transportation Systems.

Part II. Spatial factor exploration models

7. Optimal Parameters-based Geographical Detector (OPGD). GIScience & Remote Sensing. (No. 1 Most Cited Article)
   • R package “GD”; Q & A
8. Interactive Detector for Spatial Associations (IDSA). International Journal of Geographical Information Science. (No. 2 Most Cited Article)
   • R package “IDSA”
9. Geographically Optimal Zones-based Heterogeneity (GOZH). ISPRS Journal of Photogrammetry and Remote Sensing.
   • R Code for GOZH model: Code 1; Code 2
10. Robust Geographical Detector (RGD). International Journal of Applied Earth Observation and Geoinformation.
    • Python Code for RGD model
11. Robust Interaction Detector (RID). Spatial Statistics.
12. Locally explained heterogeneity model. International Journal of Digital Earth.
    • R Code for LESH model
13. Wavelet Geographically Weighted Regression (WGWR). Scientific Reports.

Part III. Other geospatial theories and models

14. Spatial Trade-Off Relation (STOR) for spatial quantity-quality relationship modelling. International Journal of Applied Earth Observation and Geoinformation.
15. MFSD model for spatial decision making. Renewable and Sustainable Energy Reviews.
16. Spatial Heterogeneity-based Segmentation (SHS) for the homogeneous segmentation of line data. IEEE Transactions on Intelligent Transportation Systems.
    • R package “HS”
17. D2SFCA model for the spatiotemporal accessibility analysis. GIScience & Remote Sensing.
18. Spatial Big Data Method for redefining cities. International Journal of Geographical Information Science.

Zehua Zhang

PhD, Research Assistant, Curtin University

• Geocomplexity explains spatial errors. International Journal of Geographical Information Science. (No. 1 Most Read Article)
• Robust geographical detector (RGD). International Journal of Applied Earth Observation and Geoinformation.
  • Python Code for RGD model
• Robust Interaction Detector (RID). Spatial Statistics.

Peng Luo

PhD Candidate, Technical University of Munich, Germany

• Generalized Heterogeneity Model (GHM). International Journal of Geographical Information Science. (Top 10 Most Read Article)
• Geocomplexity explains spatial errors. International Journal of Geographical Information Science. (No. 1 Most Read Article)
• Geographically Optimal Zones-based Heterogeneity (GOZH). ISPRS Journal of Photogrammetry and Remote Sensing.
  • R Code for GOZH model: Code 1; Code 2
• Locally explained heterogeneity model. International Journal of Digital Earth.
  • R Code for LESH model

Yang Li

PhD Candidate, Beijing Normal University, China

• Locally explained heterogeneity model. International Journal of Digital Earth.
  • R Code for LESH model