RT Journal Article
SR Electronic
T1 Looking for Energy in Population Data: How to Detect Self-Organization in Human Community Distribution
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 046557
DO 10.1101/046557
A1 Josep M Casas-Busquet
A1 Agustí Poch-Parés
YR 2016
UL http://biorxiv.org/content/early/2016/03/31/046557.abstract
AB In the present work we study the relationship between population allocation and the combined effects of urban size and energy consumption, for two given areas and through a major part of the twentieth century. Along these lines a general application model is laid down which relates city-growth rates to initial inhabitants and to exosomatic energy increment, the deviations from it showing order in space and time, as shown in a series of maps which hint at unaccounted socioeconomic factors. The study of the maps by means of spectral analysis allows finding patterns which reinforce over time, in such a manner that spatial frequencies can be determined whose weight increases up so granting surface evolution estimation.HighlightsThe regressions can be considered as a way to quantifying the population’s distributionSlopes correlate well with commercial primary energy increments to a 0.9 coefficientThis result couples demography to energy and posits the emergence of self-orderOur model’s unexplained deviations show continuity in spaceThe topography of the maps has been typified through the methodology exposed herein