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
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.
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