Urban hierarchy in the brazilian Amazon

Authors

  • Douglas Sathler Vales do Jequitinhonha e Mucuri Federal University
  • Roberto L. Monte-Mór Center for Regional Development and Planning of the Universidade Federal de Minas Gerais
  • José Alberto Magno de Carvalho Center for Regional Development and Planning of the Universidade Federal de Minas Gerais
  • Alfredo Costa Institute of Geosciences, da Universidade Federal de Minas Gerais

Keywords:

Amazon, Spatial distribution of population, Urban hierarchy, Grade of Membership (GoM)

Abstract

The Grade of Membership (GoM) model is used to outline profiles based on a heterogeneous and multidimensional database, which allows identifying clusters and describing the differences among them. In this study, GoM uses several types of variables so as to improve the understanding of the greatness and power of Amazonian cities. To accomplish this task, a model that takes into account a variety of aspects, which exceed a purely economic or demographic analysis, is proposed. Understanding the hierarchical organization of the cities in the Amazon seems to be a very important exercise in order to understand the dynamics and specific characteristics of regional urban nets. In this way, it is evident that policies which stimulate the establishment of more structured urban nets in the Amazon are needed. A more balanced population distribution throughout the territory could bring a series of benefits, especially when it comes to the offer and access to all different sorts of services.

Downloads

Download data is not yet available.

Downloads

Published

2010-12-31

How to Cite

Sathler, D., Monte-Mór, R. L., Carvalho, J. A. M. de, & Costa, A. (2010). Urban hierarchy in the brazilian Amazon. Brazilian Journal of Population Studies, 27(2), 251–268. Retrieved from https://rebep.org.br/revista/article/view/100

Issue

Vol. 27 No. 2 (2010)

Section

Original Articles

License

Papers published in Rebep are original and protected under the Creative Commons attribution-type license (CC-BY). This license allows you to reuse publications in whole or in part for any purpose, free of charge, even for commercial purposes. Any person or institution can copy, distribute or reuse the content, as long as the author and the original source are properly mentioned.