Big Geodata

Michael F. Goodchild

doi:10.1016/B978-0-12-409548-9.09595-6

Big Geodata

Michael F. Goodchild

Research output: Chapter in Book/Report/Conference proceeding › Chapter

2 Scopus citations

Abstract

Big Geodata are voluminous, near-real-time, and obtained from a variety of sources. Interest in Big Geodata derives in part from current interest in related topics, including the Fourth Paradigm, open data and software, and the changing nature of science. Some of its impacts are disruptive, including the accelerating rate of publication and the lifting of volume restrictions on disseminated results. Spatial prediction is a logical but to date largely unexploited possibility of Big Geodata. High-performance computing may finally have come of age in the era of Big Geodata, while tools of synthesis will need much further development.

Original language	English (US)
Title of host publication	Gis Applications for Socio-Economics and Humanity
Publisher	Elsevier Inc.
Pages	19-25
Number of pages	7
Volume	3
ISBN (Electronic)	9780128046609
ISBN (Print)	9780128047934
DOIs	https://doi.org/10.1016/B978-0-12-409548-9.09595-6
State	Published - Jul 21 2017
Externally published	Yes

Keywords

Big Data
Big Geodata
Crowdsourcing
Data integration
Data science
Data synthesis
Fourth Paradigm
Geodata
Neogeography
Open data
Open software
Spatial prediction

ASJC Scopus subject areas

General Environmental Science

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10.1016/B978-0-12-409548-9.09595-6

Cite this

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KW - Big Geodata

KW - Crowdsourcing

KW - Data integration

KW - Data science

KW - Data synthesis

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KW - Geodata

KW - Neogeography

KW - Open data

KW - Open software

KW - Spatial prediction

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ER -

Big Geodata

Abstract

Keywords

ASJC Scopus subject areas

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