Geospatial big data: theory, methods, and applications
Citation
Zou, L. and Song, Y. and Cervone, G. 2024. Geospatial big data: theory, methods, and applications. Annals of GIS. 30 (4): pp. 411-415.
Source Title
Annals of GIS
ISSN
Faculty
Faculty of Humanities
School
School of Design and the Built Environment