Geospatial Theories and Methods

41 innovative methods across 24 research themes · 12 open-source R packages · 260,000+ downloads

Members

Yongze Song
Yongze Song
Supervisor
Yongze Song
Associate Professor
Curtin University
Email: yongze.song@curtin.edu.au
Homepage: yongzesong.com

Australian Young Tall Poppy Science Award winner
Fellow of Royal Geographical Society (UK)
Fellow of Harvard Spatial Data Lab (US)
Fellow of DAAD AInet (Germany)
Special Issue Editor (SIE) & Associate Editor – International Journal of Applied Earth Observation and Geoinformation
Associate Editor – GIScience & Remote Sensing
Special Issue Editor (SIE) – Geomatica
Editor – Geoscientific Model Development
Associate Editor – All Earth
Editor – Journal of Spatial Science
Zehua Zhang
Zehua Zhang
RID · HSA · RGD · GIGNN · LPI
Yang Li
Yang Li
GPI · LESH
Rui Qu
Rui Qu
LPA
Rui Qu
Research Associate:
Curtin University
PhD: Chengdu University of Technology
Email: rui.qu@curtin.edu.au
Xinyue Yang
Xinyue Yang
Anisotropy
Lab
Geospatial Intelligence Lab
PART I Spatial Prediction via Spatial Feature Modeling
4. Spatial autocorrelation
9. Spatial fusion
11. Generalized heterogeneity
PART II Spatial Heterogeneity and Driver Analysis
PART III Spatial Urban Methods: Patterns, Accessibility, and Decisions

Important Concepts in Geospatial Analysis

  1. Spatial validation: degree of spatial interpretability, degree of geocomplexity
  2. Spatial association: second-dimension spatial association, explainable second-dimension spatial association
  3. Spatial outliers: second-dimension outliers, second-dimension outlier-driven heterogeneity
  4. Spatial autocorrelation: heterogeneous spatial autocorrelation
  5. Geostatistics or kriging: segment-based regression kriging, focal-feature regression kriging
  6. Geocomplexity: geocomplexity
  7. Geographical similarity: geographically optimal similarity
  8. Spatial graph network: geographically informed graph neural network, dynamic spatiotemporal graph network
  9. Spatial fusion: spatial context-aware fusion
  10. Spatial transformer: spatiotemporal multiscale transformer
  11. Generalized heterogeneity: generalized heterogeneity
  12. Spatial heterogeneity: spatial stratified heterogeneity, local stratified heterogeneity, geographically optimal zones-based heterogeneity, locally explained heterogeneity, spatial stratified heterogeneity family, wavelet geographically weighted regression
  13. Robust spatial models: robust geographical detector
  14. Spatial interaction: robust interaction detector, interactive detector for spatial association, geographical pattern interaction, local effects of pattern interaction
  15. Causal discovery: temporal empirical dynamic modeling, geographical cross mapping cardinality
  16. Spatial anisotropy: spatial irregular anisotropy
  17. Spatial path analysis: local pathways of association
  18. Spatial segmentation: spatial heterogeneity-based segmentation, gaussian mixture segmentation
  19. Spatial unmixing: spatio-temporal unmixing with heterogeneity
  20. Spatial accessibility: D2SFCA spatiotemporal accessibility
  21. Spatial trade-off: spatial trade-off relation, dynamic trade-off, spatial delta model
  22. Spatial boundary: spatial big data-based city redefinition
  23. Spatial decision-making: MFSD spatial decision making
  24. Spatial optimization: spatiotemporal particle swarm optimization for cost allocation
  25. Advanced geographical detector models: Optimal Parameters-based Geographical Detector (OPGD), Robust Interaction Detector (RID), Local Indicator of Stratified Power (LISP), Geographically Optimal Zones-based Heterogeneity (GOZH), Geographical Pattern Interaction (GPI), Interactive Detector for Spatial Associations (IDSA), Robust Geographical Detector (RGD), Locally Explained Heterogeneity model (LESH), Generalized Heterogeneity Model (GHM), Heterogeneous Spatial Autocorrelation (HSA)

Open-Source Geospatial Software (260,000+ 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
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Geographically Optimal Similarity (GOS) for spatial prediction. R package "geosimilarity" | publication
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Second-Dimension Spatial Association (SDA) for spatial prediction. R package "SecDim" | publication
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Interactive Detector for Spatial Association (IDSA) for spatial factor exploration. R package "IDSA" | publication
– No. 2 Most Cited Article in IJGIS in 2021–2023
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Homogenous Segmentation (HS) for segmenting spatial lines data. R package "HS" | publication
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Segment-based Kriging (SK) for spatial prediction. R package "SK" | publication
– Highly Cited Paper
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Energy Decomposition Analysis (EDA) for analysing carbon emission factors. R package "EDA" | publication
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SDGdetector: Detecting Sustainable Development Goals (SDGs) in Text. R package "SDGdetector" | publication
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gdverse: Analysis of Spatial Stratified Heterogeneity. R package "gdverse" | publication
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localsp: Local Indicator of Stratified Power. R package "localsp" | publication
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cisp: A Correlation Indicator Based on Spatial Patterns. R package "cisp" | publication
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