human activity

Recognizing mixed urban functions from human activities using representation learning methods

When various urban functions are integrated into one location, they form a mixture of functions. The emerging big data promote an alternative way to identify mixed functions. However, current methods are largely unable to extract deep features in …

A Framework for Mixed-Use Decomposition Based on Temporal Activity Signatures Extracted from Big Geo-Data

Mixed use has been extensively applied as an urban planning principle and hinders the study of single urban functions. To address this problem, it is worth decomposing the mixed use. Inspired by the concept of spectral unmixing in remote sensing …

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, …