Multi-scaling allometric analysis for urban and regional development

被引:27
|
作者
Chen, Yanguang [1 ]
机构
[1] Peking Univ, Dept Geog, Coll Environm Sci, Beijing 100871, Peoples R China
基金
中国国家自然科学基金;
关键词
Allometric growth; Allometric scaling; Fractal dimension; Complex spatial system; Spatio-temporal evolution; Urbanization; ZIPFS LAW; SIZE; GROWTH; EVOLUTION; GEOMETRY; SHAPE; LIFE;
D O I
10.1016/j.physa.2016.08.008
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The concept of allometric growth is based on scaling relations, and it has been applied to urban and regional analysis for a long time. However, most allometric analyses were devoted to the single proportional relation between two elements of a geographical system. Few researches focus on the allometric scaling of multielements. In this paper, a process of multiscaling allometric analysis is developed for the studies on spatio-temporal evolution of complex systems. By means of linear algebra, general system theory, and by analogy with the analytical hierarchy process, the concepts of allometric growth can be integrated with the ideas from fractal dimension. Thus a new methodology of geo-spatial analysis and the related theoretical models emerge. Based on the least squares regression and matrix operations, a simple algorithm is proposed to solve the multiscaling allometric equation. Applying the analytical method of multielement allometry to Chinese cities and regions yields satisfying results. A conclusion is reached that the multiscaling allometric analysis can be employed to make a comprehensive evaluation for the relative levels of urban and regional development, and explain spatial heterogeneity. The notion of multiscaling allometry may enrich the current theory and methodology of spatial analyses of urban and regional evolution. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:673 / 689
页数:17
相关论文
共 50 条
  • [41] Dimension reduction and multi-scaling law through source extraction
    Capobianco, E
    INDEPENDENT COMPONENT ANALYSES, WAVELETS, AND NEURAL NETWORKS, 2003, 5102 : 360 - 370
  • [42] Explaining a complex living system: dynamics, multi-scaling and emergence
    Cohen, Irun R.
    Harel, David
    JOURNAL OF THE ROYAL SOCIETY INTERFACE, 2007, 4 (13) : 175 - 182
  • [43] MULTI-SCALING EXPANSION IN THE SYSTEMS INTEGRABLE BY THE INVERSE SCATTERING TRANSFORM
    ZAKHAROV, VE
    KUZNETSOV, EA
    PHYSICA D, 1987, 28 (1-2): : 220 - 221
  • [44] Allometric multi-scaling of weight-for-height relation in children and adolescents: Revisiting the theoretical basis of body mass index of thinness and obesity assessment
    Ogata, Hitomi
    Isoyama, Yosuke
    Nose-Ogura, Sayaka
    Nagai, Narumi
    Kayaba, Momoko
    Kruse, Joao Gabriel Segato
    Seleznov, Ivan
    Kaneko, Miki
    Shigematsu, Taiki
    Kiyono, Ken
    PLOS ONE, 2024, 19 (07):
  • [45] Scaling of entropy and multi-scaling of the time generalized q-entropy in rainfall and streamflows
    Salas, Hernan D.
    Poveda, German
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2015, 423 : 11 - 26
  • [46] Multi-scaling models of sub-frame VBR video traffic
    Saniee, I
    Neidhardt, A
    Narayan, O
    Erramilli, A
    NETWORKING 2000, 2000, 1815 : 362 - 373
  • [47] Multi-scaling in the Cont-Bouchaud microscopic stock market model
    Castiglione, F
    Stauffer, D
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2001, 300 (3-4) : 531 - 538
  • [48] Fat tails and multi-scaling in a simple model of limit order markets
    Krause, Andreas
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2006, 368 (01) : 183 - 190
  • [49] AUTOMATIC SCANNING OF CHROMATOGRAMS BY MULTI-SCALING WITH A GAMMA-RAY SPECTROMETER
    MUZZARELLI, RA
    TALANTA, 1966, 13 (12) : 1689 - +
  • [50] Learning noise-induced transitions by multi-scaling reservoir computing
    Lin, Zequn
    Lu, Zhaofan
    Di, Zengru
    Tang, Ying
    NATURE COMMUNICATIONS, 2024, 15 (01)