Part I. Spatial prediction models:

• Geographically Optimal Similarity (GOS). Mathematical Geosciences.
• Generalized Heterogeneity Model (GHM). International Journal of Geographical Information Science.
• Second-Dimension Spatial Association (SDA). International Journal of Applied Earth Observation and Geoinformation.
• Segment-based Regression Kriging (SRK). IEEE Transactions on Intelligent Transportation Systems. Highly Cited Paper.
• Dynamic Trade-Off Model (DTOM). IEEE Transactions on Intelligent Transportation Systems. Highly Cited Paper.

Part II. Spatial factor exploration models:

• Optimal Parameters-based Geographical Detector (OPGD). GIScience & Remote Sensing. Highly Cited Paper. Top 1 Most Cited Paper of this journal in the past 3 years.
• Interactive Detector for Spatial Associations (IDSA). International Journal of Geographical Information Science.
• Geographically Optimal Zones-based Heterogeneity (GOZH). ISPRS Journal of Photogrammetry and Remote Sensing.
• Wavelet Geographically Weighted Regression (WGWR). Scientific Reports.
• Robust Geographical Detector (RGD). International Journal of Applied Earth Observation and Geoinformation.

Part II. Other geospatial models:

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