The urban rapid development leads to a series of urban diseases. The developments of remote sensing and geographic information sciences generate varied of data and create great potentials for urban disease diagnosis. In this paper, a framework of the urban pulsation analysis is established to diagnose a specific urban disease. The urban pulsation analysis implements three tasks. They are optimizing an examinational index system for an urban disease, extracting spatio-temporal data sequences that corresponds to the index system, and spatio-temporal data mining with urban constraints. This paper describes the essential technologies of these tasks with perspectives of the further trend.
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