Geospatial Theories and Methods
39 innovative methods across 23 research themes · 12 open-source R packages · 200,000+ downloads
Members
Zehua Zhang
RID · HSA · RGD · GIGNN · LPI
Zehua Zhang
Postdoc Researcher
Curtin University
PhD: Curtin University (Chancellor's Commendation Award)
Master: University of Melbourne (with Distinction)
Curtin University
PhD: Curtin University (Chancellor's Commendation Award)
Master: University of Melbourne (with Distinction)
- Robust Interaction Detector (RID). Spatial Statistics. Highly Cited Paper.
- Heterogeneous spatial autocorrelation (HSA). Int. J. Geogr. Inf. Sci. (Top 4 Most Read Article, 2025)
- Geocomplexity explains spatial errors. Int. J. Geogr. Inf. Sci. (Top 30 Most Cited, 2025; Top 1 Most Read, 2023) R package "geocomplexity"
- Robust geographical detector (RGD). Int. J. Appl. Earth Obs. Geoinf. Python Code for RGD model
- Geographically informed graph neural network (GIGNN). Spatial Statistics.
- Local effects of pattern interaction (LPI). Int. J. Appl. Earth Obs. Geoinf.
Peng Luo
GHM · GOZH · GPI · LESH · STUH · FFRK
Peng Luo
Postdoc Researcher
Massachusetts Institute of Technology (MIT)
PhD: Technical University of Munich
Master: Peking University
Massachusetts Institute of Technology (MIT)
PhD: Technical University of Munich
Master: Peking University
- Generalized Heterogeneity Model (GHM). Int. J. Geogr. Inf. Sci. (Top 4 Most Cited, 2025; Top 10 Most Read, 2024)
- Geocomplexity explains spatial errors. Int. J. Geogr. Inf. Sci. (Top 30 Most Cited, 2025; Top 1 Most Read, 2023)
- Geographically Optimal Zones-based Heterogeneity (GOZH). ISPRS J. Photogramm. Remote Sens. R Code for GOZH model: Code 1; Code 2
- Geographical Pattern Interaction (GPI). Int. J. Geogr. Inf. Sci. (Top 1 Most Read, 2025)
- Locally explained heterogeneity model. Int. J. Digital Earth. R Code for LESH model
- Spatio-temporal unmixing with heterogeneity (STUH). Int. J. Appl. Earth Obs. Geoinf.
- Focal-Feature Regression Kriging (FFRK). Geographical Analysis.
Pengcheng Zhang
DSTGN · GMS · DG · SPOCA
Pengcheng Zhang
PhD Researcher: The Hong Kong Polytechnic University
Yang Li
GPI · LESH
Yang Li
Postdoc Researcher:
Beihang University
PhD: Beijing Normal University
Beihang University
PhD: Beijing Normal University
Jiao Hu
LISP · LPA · LPI
Jiao Hu
Research Associate:
Curtin University
PhD: Chengdu University of Technology
Curtin University
PhD: Chengdu University of Technology
- Local indicator of stratified power (LISP). Int. J. Geogr. Inf. Sci. (Top 2 Most Read, 2026) R Code for LISP model
- Local pathways of association (LPA). Int. J. Appl. Earth Obs. Geoinf. R Code for LPA model
- Local effects of pattern interaction (LPI). Int. J. Appl. Earth Obs. Geoinf.
Rui Qu
LPA
Rui Qu
Research Associate:
Curtin University
PhD: Chengdu University of Technology
Curtin University
PhD: Chengdu University of Technology
- Local pathways of association (LPA). Int. J. Appl. Earth Obs. Geoinf. R Code for LPA model
Xinyue Yang
Anisotropy
Xinyue Yang
PhD Researcher:
Curtin University
Curtin University
Kai Ren
SDO · Anisotropy
Kai Ren
Research Associate:
Curtin University
Curtin University
Haiyang Liu
DSI · LPI · DG
Haiyang Liu
PhD Researcher:
Hokkaido University, Japan
Hokkaido University, Japan
Lai Chen
ST-MST
Lai Chen
Research Associate:
Curtin University
Curtin University
Wenbo Lyu
tEDM · gdverse
Yilong Wu
FFRK · ESDA
PART I
Spatial Prediction via Spatial Feature Modeling
1. Spatial validation
2. Spatial association
3. Geographical similarity
4. Spatial autocorrelation
5. Geocomplexity
6. Generalized heterogeneity
7. Geostatistics & kriging
8. Spatial graph network
9. Spatial fusion
10. Spatial transformer
PART II
Spatial Heterogeneity and Driver Analysis
11. Spatial heterogeneity
Highly CitedNo.1 Most Cited Ever
12. Spatial interaction
Top 2 Cited 2023
13. Causal discovery
14. Robust spatial models
15. Spatial anisotropy
16. Spatial path analysis
17. Spatial segmentation
18. Spatial unmixing
PART III
Spatial Urban Methods: Patterns, Accessibility, and Decisions
19. Spatial trade-off
20. Spatial accessibility
21. Spatial decision-making
22. Spatial big data
23. Spatial optimization
Open-Source Geospatial Software (200,000+ downloads)
Optimal Parameters-based Geographical Detectors (OPGD) for spatial factor exploration. R package "GD" | publication
– Highly Cited Paper · No. 1 Most Cited Article in GIScience & Remote Sensing in 2021–2023
Geographically Optimal Similarity (GOS) for spatial prediction. R package "geosimilarity" | publication
Second-Dimension Spatial Association (SDA) for spatial prediction. R package "SecDim" | publication
Geocomplexity. R package "geocomplexity" | publication
Interactive Detector for Spatial Association (IDSA) for spatial factor exploration. R package "IDSA" | publication
– No. 2 Most Cited Article in IJGIS in 2021–2023
Homogenous Segmentation (HS) for segmenting spatial lines data. R package "HS" | publication
Energy Decomposition Analysis (EDA) for analysing carbon emission factors. R package "EDA" | publication
SDGdetector: Detecting Sustainable Development Goals (SDGs) in Text. R package "SDGdetector" | publication
gdverse: Analysis of Spatial Stratified Heterogeneity. R package "gdverse" | publication
localsp: Local Indicator of Stratified Power. R package "localsp" | publication
cisp: A Correlation Indicator Based on Spatial Patterns. R package "cisp" | publication