Qunying Huang

Wenwu Tang

Qingfeng Guan

Zhenlong Li

Eric Shook

The convergence of big data and geospatial computing has brought forth challenges and opportunities to Geographic Information Science with regard to geospatial data management, processing, analysis, modeling, and visualization. This book highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates opportunities for using big data for geospatial applications. Crucial to the advancements highlighted in this book is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms.

Big Data Computing for Geospatial Applications

Yunjun Gao

Gang Pan

Hui Lin

Xiaofeng Meng

Yong Li

Zhiming Ding

This book constitutes the proceedings of the Second International Conference on Spatial Data and Intelligence, SpatialDI 2021, which was held during April 22-24, 2021 in Hangzhou, China. The 14 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 72 submissions. They are organized in the topical sections named: traffic management, data science, and city analysis.

Second International Conference, SpatialDI 2021, Hangzhou, China, April 22–24, 2021, Proceedings

Spatial Data and Intelligence

Qingfeng Guan

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