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.