Abstract
The formation of regions through spatial self-organization is a key issue in spatial economics. The standard approach to the modelling of space in regional science has been to assume that space can be modelled as a one-dimensional system, often locations arrayed on a circle. This paper studies spatial self-organization in an economic geography model defined on a two-dimensional surface, assuming periodic or quasiperiodic dynamics. A discrete time model with discretized locations is applied, motivating a cellular automata approach. Numerical simulations suggest that the number of regions emerging on a two-dimensional model is different than that on a one-dimensional model, keeping other parameters the same. The spatial distribution of economic activity on a two-dimensional space (torus) appears less stable than one on a circle. A two-dimensional economic model can be extended to capture nonuniformity in the landscape by using a quasiperiodic dynamical system.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
