A Potts Model for Night Light and Human Population
Gabriell M\'at\'e

TL;DR
This paper demonstrates how a generalized Potts model from statistical physics can be effectively applied to analyze complex spatial data, specifically night light patterns of human settlements from space imagery.
Contribution
It introduces a novel application of the Potts model for analyzing spatial patterns in satellite night light data, bridging physics models and geospatial analysis.
Findings
Successful modeling of night light patterns using the Potts model
Insights into human settlement distribution from model analysis
Potential for applying physics-based models to geospatial data
Abstract
The Potts model was one of the most popular physics models of the twentieth century in an interdisciplinary context. It has been applied to a large variety of problems. Many generalizations exists and a whole range of models were inspired by this statistical physics tool. Here we present how a generic Potts model can be used to study complex data. As a demonstration, we engage our model in the analysis of night light patterns of human settlements observed on space photographs.
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Taxonomy
TopicsImpact of Light on Environment and Health · Remote Sensing in Agriculture · Remote-Sensing Image Classification
