Time-series analysis of clusters in city size distributions Export

@article{citeulike:278430, abstract = { 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\&\#150;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\&\#150;7 clusters of cities in each of the decades analysed. Cities cluster into size classes, suggesting variability in growth rates at different scales.}, author = {Garmestani, Ahjond and Allen, Craig and Bessey, K.}, citeulike-article-id = {278430}, citeulike-linkout-0 = {http://dx.doi.org/10.1080/00420980500185314}, citeulike-linkout-1 = {http://www.ingentaconnect.com/content/routledg/curs/2005/00000042/00000009/art00002}, doi = {10.1080/00420980500185314}, issn = {0042-0980}, journal = {Urban Studies}, keywords = {city}, month = {August}, number = {9}, pages = {1507--1515}, posted-at = {2005-08-11 07:57:48}, priority = {2}, title = {Time-series analysis of clusters in city size distributions}, url = {http://dx.doi.org/10.1080/00420980500185314}, volume = {42}, year = {2005} }

TY - JOUR ID - citeulike:278430 L3 - citeulike-article-id:278430 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. IS - 9 JF - Urban Studies SN - 0042-0980 EP - 1515 TI - Time-series analysis of clusters in city size distributions VL - 42 SP - 1507 KW - city AU - Garmestani, Ahjond AU - Allen, Craig AU - Bessey, K PY - 2005/08// UR - http://dx.doi.org/10.1080/00420980500185314 ER -