Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/27731
Title: Assessing the changing flowering date of the common lilac in North America: a random coefficient model approach
Authors: Brunsdon, Chris
Comber, Alexis J.
First Published: 1-Jul-2012
Publisher: Springer Verlag
Citation: Geoinformatica, 2012, 16 (4), pp. 675-690.
Abstract: A data set consisting of Volunteered geographical information (VGI) and data provided by expert researchers monitoring the first bloom dates of lilacs from 1956 to 2003 is used to investigate changes in the onset of the North American spring. It is argued that care must be taken when analysing data of this kind, with particular focus on the issues of lack of experimental design, and Simpson’s paradox. Approaches used to overcome this issue make use of random coefficient modelling, and bootstrapping approaches. Once the suggested methods have been employed, a gradual advance in the onset of spring is suggested by the results of the analysis. A key lesson learned is that the appropriateness of the model calibration technique used given the process of data collection needs careful consideration.
DOI Link: 10.1007/s10707-012-0159-6
ISSN: 1384-6175
eISSN: 1573-7624
Links: http://link.springer.com/article/10.1007%2Fs10707-012-0159-6
http://hdl.handle.net/2381/27731
Version: Post-print
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © Springer Science+Business Media, LLC 2012. Deposited with reference to the publisher's archiving policy available on the SHERPA/RoMEO website. The original publication is available at www.springerlink.com
Appears in Collections:Published Articles, Dept. of Geography

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