Analyzing Complexity of Municipal Solid Waste Stations Using Approximate Entropy and Spatial Clustering

The generation of municipal solid waste (take MSW for short hereafter) is a deterministic process with chaotic behaviors, which is highly sensitive to initial conditions. In this paper, we propose the approximate entropy (ApEn) to measure the spatial distribution of the MSW stations. We also provide the k-means spatial clustering method to investigate the spatial heterogeneity and homogeneity. Results show that MSW stations have spatial correlations and they can be divided into separate groups by spatial clustering method for further study and prediction.