Big Data Challenges for Geoinformatics, Geoinformatics and Geostatistics: An Overview.

Birkin, M (2012) Big Data Challenges for Geoinformatics, Geoinformatics and Geostatistics: An Overview. Geoinformatics and Geostatistics: An Overview, 1 (1). ISSN 1000e101

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Abstract

It has been said that scientific research is now entering a ‘fourth paradigm’. While the earlier paradigms are characterised by experimentation and reasoning, the latest approaches are strongly driven by the availability of data at an unprecedented scale, and by the computational resources with which to extract the maximum value. Perhaps the classic exemplar discipline is bioinformatics, in which the human genome project has allowed a complete representation of the micro-level components and interactions which make up our physical bodies.

Item Type: Article
Subjects: 5. Quantitative Data Handling and Data Analysis > 5.6 Multilevel Modelling
5. Quantitative Data Handling and Data Analysis > 5.9 Spatial Data Analysis
5. Quantitative Data Handling and Data Analysis > 5.13 Simulation
Depositing User: TALIS User
Date Deposited: 20 Dec 2012 13:25
Last Modified: 14 Jul 2021 13:57
URI: https://eprints.ncrm.ac.uk/id/eprint/2951

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