Population distribution data with high spatiotemporal resolution are of significant value and
fundamental to many application areas, such as public health, urban planning …

High spatiotemporal population data are critical for a wide range of applications (eg urban
planning and management, risk assessment, and epidemic control). However, such data are …

With the development and popularity of mobile Internet technology, data sources of human
activity in urban centers are rapidly updated and play an important role in supporting urban …

Fine-scale population distribution data at the building level play an essential role in
numerous fields, for example urban planning and disaster prevention. The rapid …

Fine knowledge of the spatiotemporal distribution of the population is fundamental in a wide
range of fields, including resource management, disaster response, public health, and urban …

Fine-resolution population mapping, which is vital to urban planning, public health, and
disaster management, has gained considerable attention in socioeconomic and …

With the continuous development of urbanization in China, the country's growing population
brings great challenges to urban development. By mastering the refined population spatial …

Remote sensing data have been widely used in research on population spatialization.
Previous studies have generally divided study areas into several sub-areas with similar …

Accurate location-based big data has a high resolution and a direct interaction with human
activities, allowing for fine-scale population spatial data to be realized. We take the average …

Accurately and precisely grasping the spatial distribution and changing trends of China's
regional population is of great significance in new urbanization, economic development …