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Rapid urbanization can cause remarkable and high fragmentation of urban landscapes, which will affect the function and services of landscapes and result in a series of ecological and environmental problems. To identify the spatial structure and explore the effects of internal features on this structure, we propose a spatial‐adjacency‐based method for interactions between urban main roads (main road...
Space–time series prediction plays a key role in the domain of geographic data mining and knowledge discovery. In general, the existing methods of space–time series prediction can be divided into two main categories: statistical machine learning methods. Comparatively, machine leaning methods have obvious advantages with respect to handling nonlinear problems. However, space–time dependence and the...
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