Brunsdon, Chris (2017) Quantitative methods II: Issues of inference in quantitative human geography. Progress in Human Geography, 41 (4). pp. 512-523. ISSN 0309-1325

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Abstract

Although classical significance testing is the most commonly used inferential technique in quantitative geography, it is far from the only choice, and in some circumstances may not be the most appropriate. In the statistical literature and other disciplines, its utility has come under question in a number of contexts. This report overviews current progress in the development of quantitative inferential approaches, and considers their use and appropriateness in a number of human geographical contexts.

Item Type:	Article
Additional Information:	Cite as: Brunsdon C. Quantitative methods II: Issues of inference in quantitative human geography. Progress in Human Geography. 2017;41(4):512-523. doi:10.1177/0309132516648020
Keywords:	Bayesian; inference; statistical testing; visualization;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > Hamilton Institute Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG Faculty of Social Sciences > Geography
Item ID:	14729
Identification Number:	https://doi.org/10.1177/0309132516648020
Depositing User:	Prof. Chris Brunsdon
Date Deposited:	30 Aug 2021 14:57
Journal or Publication Title:	Progress in Human Geography
Publisher:	Sage
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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