TY - JOUR
T1 - Time-series analysis of clusters in city size distributions
AU - Garmestani, A.S.
AU - Allen, C.R.
AU - Bessey, K.M.
PY - 2005/8
Y1 - 2005/8
N2 - Complex systems, such as urban systems, emerge unpredictably without the influence of central control as a result of adaptive behaviour by their component, interacting agents. This paper analyses city size distributions, by decade, from the south-western region of the United States for the years 1890-1990. It determines if the distributions were clustered and documents changes in the pattern of clusters over time. Clusters were determined utilising a kernel density estimator and cluster analysis. The data were clustered as determined by both methods. The analyses identified 4-7 clusters of cities in each of the decades analysed. Cities cluster into size classes, suggesting variability in growth rates at different scales.
AB - Complex systems, such as urban systems, emerge unpredictably without the influence of central control as a result of adaptive behaviour by their component, interacting agents. This paper analyses city size distributions, by decade, from the south-western region of the United States for the years 1890-1990. It determines if the distributions were clustered and documents changes in the pattern of clusters over time. Clusters were determined utilising a kernel density estimator and cluster analysis. The data were clustered as determined by both methods. The analyses identified 4-7 clusters of cities in each of the decades analysed. Cities cluster into size classes, suggesting variability in growth rates at different scales.
UR - https://www.scopus.com/pages/publications/25444482118
U2 - 10.1080/00420980500185314
DO - 10.1080/00420980500185314
M3 - Article
SN - 0042-0980
VL - 42
JO - Urban Studies
JF - Urban Studies
IS - 9
ER -