Big Data Techniques and Technologies in Geoinformatics

Big Data is defined as "a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools". The challenges include capture, storage, search, sharing, analysis, and visualization." Big Data has always been a major challenge in g...

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Bibliographic Details
Main Author Karimi, Hassan A.
Format eBook Book
LanguageEnglish
Published Boca Raton, FL CRC Press 2014
CRC Press, Taylor & Francis Group
Taylor & Francis Group
Edition1
Subjects
Big data
Geographic information systems
Geography
Geography > Data processing
Geospatial data
High performance computing
MATHEMATICS / General. bisacsh
TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems. bisacsh
TECHNOLOGY & ENGINEERING / Telecommunications. bisacsh
Geospatial Big Data
Online Algorithms
Geospatial Web Service
Data Sets
LiDAR Data
GES Disc
Gps Trajectory
Time Complexity
TRMM Data
Sensor Web
Gps Trace
VGI Application
Big Data
Crowdsourced Data
Big Earth Data
VGI Data Set
TRMM Product
TRMM Satellite
OGC Standard
Residence Mode
Frequent Sequences
GEOSS Clearinghouse
Geoprocessing Modeling
Big Data Challenge
Big Spatial Data
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Summary:Big Data is defined as "a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools". The challenges include capture, storage, search, sharing, analysis, and visualization." Big Data has always been a major challenge in geoinformatics as geospatial databases are inherently very large. This book will integrate in one single volume techniques and technologies for storing and managing very large geospatial databases and help developing new geoinformatics software and systems that involve very large databases.
Bibliography:Includes bibliographical references and index
ISBN:9781466586512
1466586516
DOI:10.1201/b16524