Yongze Song

Lecturer, School of Design and the Built Environment
Curtin University
Perth, 6102, WA, Australia

Email: yongze.song@curtin.edu.au

Join Us

We are seeking highly motivated PhD students, junior researchers, and visiting researchers/students to join us.

Dr. Yongze Song, RGS Fellow, is a Lecturer and Doctoral Supervisor at Curtin University, Australia. He is a Fellow of the Royal Geographical Society, United Kingdom, and a Publications Committee Member of the International Association for Mathematical Geosciences (IAMG).

He has expertise in developing geospatial methods and implementing Earth data for sustainable infrastructure. He developed a series of new geospatial methods and R software packages for understanding geographical and spatial data. He is a recipient of more than ten awards at international and national levels, such as the Global Top 10 Young Scientist Award and the Australian National Location Data First Prize.

He is an Editorial Board Member of GIScience & Remote Sensing (IF 6.397), iScience (IF 6.107), and Managing Guest Editor for a few journals in Earth and spatial sciences. He serves as a Session Chair, Scientific Committee Member, Keynote Speaker, or Special Issue Coordinator for international conferences IAMG, AAG, AGILE, WBC, IPC, IWEG, ICCSTE, etc. He serves for over 30 peer-reviewed journals as a reviewer. He was invited to present more than 40 research seminars at universities (e.g., Harvard University, Australian National University, National University of Singapore, Peking University, etc) and industries globally.

Innovative Geospatial Methods

Sustainable Infrastructure

Second-Dimension Spatial Association (SDA) for spatial prediction.

## use R package "SecDim"


Optimal Parameters-based Geographical Detectors (OPGD) model for spatial factors exploration.

## use R package "GD"


Call for Papers

iScience (Cell Press, IF 6.107, Q1): GeoAI Shaping Earth and Cities: Advances, Opportunities, and Challenges

Submission deadline: 1st March 2023

Science of Remote Sensing (companion journal to Remote Sensing of Environment): Wildfire Remote Sensing

Submission deadline: 1st March 2023

Remote Sensing (IF 5.349): Remote Sensing for Mapping Global Land Surface Parameters

Submission deadline: 31 May 2023