In recent years, geospatial big data (GBD) has obtained attention across various disciplines,
categorized into big Earth observation data and big human behavior data. Identifying …

Index structures are powerful tools for improving query performance and reducing disk
access in database systems. Multi-dimensional indexes, in particular, are used to filter …

With the rapid development of the Internet of Things and cloud computing, HBase has
become a good choice for massive data storage, and is efficient in reading and writing data …

With the development of visualization technology, the amount of geological data information
is increasing, and the interactive display of big data faces severe challenges. Because …

In the big data era, rapid visualization of large-scale vector data has become a serious
challenge in Geographic Information Science (GIS). To fill the gap, we propose HiIndex, a …

DBSCAN is one of the most popular density-based clustering algorithm capable of
identifying arbitrary shaped clusters and noise. It is computationally expensive for large data …

Yunnan Province, residing in the eastern segment of the Qinghai–Tibet Plateau and the
western part of the Yunnan–Guizhou Plateau, faces significant challenges due to its intricate …

The booming of LiDAR technologies has made the point cloud become a prevailing data
format for 3D object representation. However, point cloud usually exhibits holes of data loss …

Support for region queries is crucial in geographic information systems, which process exact
queries through spatial indexing to filter features and subsequently refine the selection …

Abstract The advent of Big Data has led to the rapid growth in the usage of parallel
clustering algorithms that work over distributed computing frameworks such as MPI …