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An Integrative Dynamic Model of Colombian Population Distribution, Based on the Maximum Entropy Principle and Matter, Energy, and Information Flow

1
Department of Civil and Environmental, Universidad de la Costa, Calle 58 #55-66, Barranquilla 080002, Atlántico, Colombia
2
Director of Water Xavierian Institute, Pontifical Xavierian University, Bogotá 110311, Colombia
*
Author to whom correspondence should be addressed.
Entropy 2019, 21(12), 1172; https://doi.org/10.3390/e21121172
Received: 8 October 2019 / Revised: 10 November 2019 / Accepted: 20 November 2019 / Published: 29 November 2019
Human society has increased its capacity to exploit natural resources thanks to new technologies, which are one of the results of information exchange in the knowledge society. Many approaches to understanding the interactions between human society and natural systems have been developed in the last decades, and some have included considerations about information. However, none of them has considered information as an active variable or flowing entity in the human–natural/social-ecological system, or, moreover, even as a driving force of their interactions. This paper explores these interactions in socio-ecological systems by briefly introducing a conceptual frame focused on the exchange of information, matter, and energy. The human population is presented as a convergence variable of these three physical entities, and a population distribution model for Colombia is developed based on the maximum entropy principle to integrate the balances of related variables as macro-state restrictions. The selected variables were electrical consumption, water demand, and higher education rates (energy, matter, and information). The final model includes statistical moments for previous population distributions. It is shown how population distribution can be predicted yearly by combining these variables, allowing future dynamics exploration. The implications of this model can contribute to bridging information sciences and sustainability studies.
Keywords: integrated modelling; social-ecological systems; maximum entropy principle; energy and information; human population distribution integrated modelling; social-ecological systems; maximum entropy principle; energy and information; human population distribution
MDPI and ACS Style

Cardona-Almeida, C.; Obregón, N.; Canales, F.A. An Integrative Dynamic Model of Colombian Population Distribution, Based on the Maximum Entropy Principle and Matter, Energy, and Information Flow. Entropy 2019, 21, 1172.

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