Big geodata

Big Geodata Reveals Spatial Patterns of Built Environment Stocks Across and Within Cities in China

The patterns of material accumulation in buildings and infrastructure accompanied by rapid urbanization offer an important, yet hitherto largely missing stock perspective for facilitating urban system engineering and informing urban resources, waste, …

Understanding Place Characteristics in Geographic Contexts through Graph Convolutional Neural Networks

Inferring the unknown properties of a place relies on both its observed attributes and the characteristics of the places to which it is connected. Because place characteristics are unstructured and the metrics for place connections can be diverse, it …

Inferring Spatial Interaction Patterns from Sequential Snapshots of Spatial Distributions

Spatial interactions underlying consecutive sequential snapshots of spatial distributions, such as the migration flows underlying temporal population snapshots, can reflect the details of spatial evolution processes. In the era of big data, we have …