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Geospatial data science techniques and applications

Karimi, HA and Karimi, B (2017) Geospatial data science techniques and applications. UNSPECIFIED. ISBN 9781351855990

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Abstract

© 2018 by Taylor & Francis Group, LLC. Data science has recently gained much attention for a number of reasons, and among them is Big Data. Scientists (from almost all disciplines including physics, chemistry, biology, sociology, among others) and engineers (from all fields including civil, environmental, chemical, mechanical, among others) are faced with challenges posed by data volume, variety, and velocity, or Big Data. This book is designed to highlight the unique characteristics of geospatial data, demonstrate the need to different approaches and techniques for obtaining new knowledge from raw geospatial data, and present select state-of-the-art geospatial data science techniques and how they are applied to various geoscience problems.


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Details

Item Type: Book
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Karimi, HA
Karimi, B
Date: 1 January 2017
Date Type: Publication
DOI or Unique Handle: 10.1201/b22052
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9781351855990
Date Deposited: 26 Jun 2017 20:12
Last Modified: 05 Sep 2018 16:55
URI: http://d-scholarship.pitt.edu/id/eprint/32465

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