The growing ubiquity of location/activity sensing technologies and location-based services
(LBS) has led to a large volume and variety of location-based big data (LocBigData), such …

In the era of big data, advances in relevant technologies are profoundly impacting the field of
real estate appraisal. Many scholars regard the integration of big data technology as an …

Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay
between space and time. Several available surveys capture STDM advances and report a …

Geographic information science (GIScience) and remote sensing have long provided
essential data and methodological support for natural resource challenges and …

The centrality of a place reflects its relative importance in serving other places, and
quantifying centrality is a prerequisite for assessing the urban spatial structure and facilitates …

The development of industrialization and urbanization has intensified the coupling of human
activities and hydrological processes and promoted the emergence of socio-hydrology. This …

The enigmatic nature of the Precambrian era poses ongoing challenges for researchers
seeking to uncover its secrets. With the exponential growth of scientific data, there exists a …

Quantifying the centrality of places and identifying centers constitute the basis for assessing
the urban spatial structure, which is essential for sustainable spatial planning. Both the …

Due to different combinations of agriculture, livestock and forestry managed by rotation,
succession and intercropping practices, integrated agriculture production systems such as …

Fire stations play a key role in controlling typical thermal runaway phenomena (fires). Based
on real-time traffic, we develop a data crawling and processing algorithm for travel times …