Urban areas

Quantifying Urban Areas with Multi-Source Data Based on Percolation Theory

Quantifying urban areas is crucial for addressing associated urban issues such as environmental and sustainable problems. Remote sensing data, especially the nighttime light images, have been widely used to delineate urbanized areas across the world. …

Mapping Human Activity Volumes Through Remote Sensing Imagery

The spatial concentration of the human activity is a crucial indication of socioeconomic vitality. Accurately mapping activity volumes is fundamental to support the regional sustainable development. Current approaches rely on mobile positioning data, …

Quantifying the Scale Effect in Geospatial Big Data Using Semi-Variograms

The scale effect is an important research topic in the field of geography. When aggregating individual-level data into areal units, encountering the scale problem is inevitable. This problem is more substantial when mining collective patterns from …

The Scale Effect on Spatial Interaction Patterns: An Empirical Study Using Taxi O-D Data of Beijing and Shanghai

Spatial scale is a fundamental issue for geographical phenomena because the size of the spatial unit adopted for analysis can have a significant effect on aggregated spatial data and the corresponding analytical results. There exists much research on …