Brunsdon, Chris and Comber, Alexis (2012) Assessing the changing flowering date of the common lilac in North America: a random coefficient model approach. Geoinformatica, 16 (4). pp. 675-690. ISSN 1573-7624

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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.

Item Type:	Article
Keywords:	Phenology; Random effects models; Citizen science;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
Item ID:	5862
Identification Number:	https://doi.org/10.1007/s10707-012-0159-6
Depositing User:	Prof. Chris Brunsdon
Date Deposited:	18 Feb 2015 16:59
Journal or Publication Title:	Geoinformatica
Publisher:	Springer Verlag
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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