High-performance geospatial big data processing system based on MapReduce

J Jo, KW Lee - ISPRS International Journal of Geo-Information, 2018 - mdpi.com
With the rapid development of Internet of Things (IoT) technologies, the increasing volume
and diversity of sources of geospatial big data have created challenges in storing …

Incremental spatiotemporal flow colocation quotient: a new spatiotemporal association analysis method for geographical flows

M Yang, M Zhou, X He, Y Wang, Z Chen… - International Journal of …, 2025 - Taylor & Francis
Analyzing spatiotemporal associations between different types of geographical flows across
multiple scales is crucial for understanding the dynamic relationships between them …

Constructing national geospatial big data platform: current status and future direction

J Jo, IH Joo, KW Lee - 2019 IEEE 5th World Forum on Internet …, 2019 - ieeexplore.ieee.org
With the increasing predominance of Internet of Things (IoT) applications, a considerable
amount of geospatial information has been accumulating from various sources. In addition to …

MapReduce-based D_ELT framework to address the challenges of geospatial Big Data

J Jo, KW Lee - ISPRS International Journal of Geo-Information, 2019 - mdpi.com
The conventional extracting–transforming–loading (ETL) system is typically operated on a
single machine not capable of handling huge volumes of geospatial big data. To deal with …

[图书][B] Distributed and Parallel Architectures for Spatial Data

Distributed and Parallel Architectures for Spatial Data Distributed and Parallel Architectures
for Spatial Data Printed Edition of the Special Issue Published in International Journal of …