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Big Data Computing for Geospatial Applications

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 ap...

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Bibliographic Details
Main Author: Li, Zhenlong
Other Authors: Tang, Wenwu, Huang, Qunying, Shook, Eric
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:
Machine Learning
Geoai
Trip
Fine-grained Emotion Classification
Topographic Surface
Climate Science
Big Mobile Navigation Trajectory Data
Web Cataloging Service
Metadata
Geospatial Problem-solving
Spatio-temporal Analysis
Iot
Transit Corridor
Big Data
Elt
Parallel Computing
City Blocks
Workflow
Spatial Thinking
Global Terrain Dataset
Social Media
Big Geospatial Data
Sensor Data
Knowledge Base
Overlay Analysis
Mapreduce
Mobility Community
Geographic Knowledge Graph
Cloud
Geospatial Big Data
Massive Data
Ca Markov
Hazard Mitigation
Missing Road
Research & Information: General / Bicssc
Geospatial Cyberinfrastructure
Hadoop
Shape Complexity
Geographic Knowledge Representation
Cybergis
Geokg
Geovisual Analytics
Cloud Computing
Terrain Modeling
Geography / Bicssc
Smart Card Data
Geospatial Computing
Etl
Task
Land-use Change Prediction
Topology
Formalization
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (222 p.)
ISBN:9783039432455
9783039432448
books978-3-03943-245-5

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