Big Data Computing for Geospatial Applications

Format:

Book

Author/Creator:

Li, Zhenlong., Editor.

Contributor:

Tang, Wenwu., Editor.

Huang, Qunying., Editor.

Shook, Eric, Editor.

Guan, Hui., Editor.

Li, Zhenlong.

Tang, Wenwu

Huang, Qunying

Shook, Eric

Guan, Hui.

Language:

English

Physical Description:

1 online resource (222 p.)

Place of Publication:

Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020

Language Note:

English

Summary:

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.

Access Restriction:

Open Access Unrestricted online access