New Methods of Geospatial Analysis
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.