
Yongze Song
RGS Fellow (UK), SDL Fellow (Harvard, US), DAAD AInet Fellow (Germany)
Associate Professor
School of Design and the Built Environment
Curtin University
Perth, 6102, WA, Australia
Email: yongze.song@curtin.edu.au
“I am seeking highly motivated students with a keen interest in geospatial theories and methods.” – Join us
Innovative Geospatial Methods
Developed over 30 new geospatial methods and 12 R software packages with over 200,000 downloads for understanding geographical and spatial data.
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– Geocomplexity explains spatial errors
R package “geocomplexity“
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– Second-Dimension Spatial Association (SDA) for spatial prediction
R package “SecDim“
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– Geographically Optimal Similarity (GOS) for spatial prediction
R package “geosimilarity“
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– Generalized Heterogeneity Model (GHM) for spatial prediction
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– Optimal Parameters-based Geographical Detectors (OPGD)
R package “GD“
Q & A
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Group Github for Geospatial Intelligence Lab: https://github.com/ausgis
R packages: GD, geocomplexity, geosimilarity, SecDim, IDSA, HS, SK, EDA, SDGdetector
R codes: GOZH Model
Awards and Professional Services
Fellow of Royal Geographical Society, United Kingdom, 2020
Fellow of DAAD AInet, Germany, 2023
Fellow of SDL, Harvard University, United States, 2024
Committee Member of the International Association for Mathematical Geosciences (IAMG), 2022
IEEE Senior Member, 2024
Member of the International Society for Photogrammetry and Remote Sensing (ISPRS), WG IV/2, 2022
Australian Young Tall Poppy Science Award, Australian Institute of Policy & Science, 2025 – News
Geospatial World 50 Rising Stars, 2023
Global Top 10 Young Scientist Award, 2021
World’s Top 2% Scientists by Stanford University, 2023, 2024
Global Impact Award, Curtin University, 2024
Research Excellence Award – Early Career Researcher, Curtin University, 2023
Research Excellence and Impact Award (Finalist), Curtin University, 2025
Chair. ISPRS Technical Commission IV Symposium, 22-25 Oct 2024, Perth, Australia
Chair. City+2023@Perth International Conference, 8-10 Sept 2023, Perth, Australia
Tutorial and Education Chair. 2025 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 3-8 August 2025, Brisbane, Australia
Logistics Chair. Australasian Joint Conference on Artificial Intelligence (AJCAI) 2022, 5-8 Dec 2022, Perth, Australia
Associate Editor – International Journal of Applied Earth Observation and Geoinformation. IF 8.6. Q1
Associate Editor – GIScience & Remote Sensing. IF 6.9. Q1
Topic Editor – Geoscientific Model Development. IF 4.9. Q1
Associate Editor – All Earth. IF 2.6. Q2
Editor – Journal of Spatial Science. IF 1.7. Q2
Editorial Board Member – Geo-spatial Information Science. IF 5.5. Q1
Editorial Board Member – iScience (Cell Press). IF 4.1. Q1
Editorial Board Member – International Journal of Digital Earth. IF 4.9. Q1
Editorial Board Member – Annals of GIS. IF 3.3. Q1
Editorial Board Member – Humanities and Social Sciences Communications (Nature). IF 3.6. Q1
Editorial Board Member – Remote Sensing. IF 4.1. Q1
Editorial Board Member – ISPRS International Journal of Geo-Information. IF 2.8. Q2
Editorial Board Member – Frontiers in Environmental Science. IF 3.7. Q2
Editorial Board Member – Geomatica
Editorial Board Member – Resources, Environment and Sustainability. IF 7.8. Q1
Editorial Board Member – The Innovation Informatics
Special Thanks Award: The 35th Australasian Joint Conference on Artificial Intelligence, 2022
Chinese Government Award for Outstanding Self-Financed Students Abroad (top 0.1% globally), 2019
Chancellor Commendation Award for exceptionally high standard in the PhD thesis, 2019
Global Peer Review Award: Top reviewers in Geosciences (top 1%) and Cross-field (top 1%), 2019
Australian National First Prize: Location Data First Prize, 2016
Call for Papers
Big Earth Data – Earth Observation and GeoAI for Social Science. Due date: 31 Dec 2025
ISPRS TC IV 2024 Symposium – Series Special Issues in JAG, Geomatica, ISPRS IJGI, JSS, JSIS, and SmartCities
GIScience & Remote Sensing – Advances in Remote Sensing and GIScience for Urban Sustainability. Due date: 30 Sept 2025
GIScience & Remote Sensing – Remote Sensing Big Data: Data Collections Driving the Advance of Earth System Sciences. Due date: 30 Sept 2025
Teams
Geospatial Intelligence Lab, Curtin University
Spatial Data Lab, Harvard University
Curtin’s Remote Sensing & Satellite Research Group (RSSRG)
International Society for Spatial Methods
Pathways to Net Zero Precincts, RACE for 2030
Sustainable Infrastructure
Research and team, 2025 | Youtube
Talk at Harvard University, 2021 | Youtube | Video
Trainings and Presentations
Harvard Spatial Data Lab (SDL) 2025 Monthly Webinars on Spatiotemporal Innovation. Summary and video recordings
IEEE IGARSS Summer School Training Materials, 31 July – 8 August 2025, Brisbane, Australia: https://ausgis.github.io/igarss25ss/
Spatiotemporal Innovation Summer School, Harvard University, 16-19 July 2024, Boston, US. Spatial Prediction: New Methods and R Packages










