Geoscience after IT: Part F. Familiarization with quantitative analysis

Loudon, T.V.. 2000 Geoscience after IT: Part F. Familiarization with quantitative analysis. Computers & Geosciences, 26 (3, Sup). A41-A50. https://doi.org/10.1016/S0098-3004(00)00041-8

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Abstract/Summary

Numbers, measurement and calculation extend our view of the world. Statistical methods describe the properties of sets of quantitative data, and can test models (particularly the model that observed relationships arose by chance) and help us to draw conclusions. Links between spatial and quantitative methods, through coordinate geometry and matrix algebra, lead to graphical representations for visualizing and exploring relationships. Multivariate statistics tie into visualization to look at pattern among many properties.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1016/S0098-3004(00)00041-8
Programmes:	BGS Programmes > Information Systems Development
ISSN:	0098-3004
Additional Keywords:	Statistics, matrix algebra, visualization, multivariate analysis
NORA Subject Terms:	Computer Science Data and Information Earth Sciences
Date made live:	19 Mar 2008 15:40 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/2401

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