Due to the surge of spatio-temporal data volume, the popularity of location-based services
and applications, and the importance of extracted knowledge from spatio-temporal data to …

Over the past decade, big data incorporating a spatial component “GEOSPATIAL BIG DATA”
has become a global focus, increasingly attracting the attention of academia, industry …

Nowadays, spatio‐temporal data analytics plays an important role in different applications
based on geographic information system (GIS). One of such applications is emergency …

Abstract A Digital Twin (DT) is a virtual replica of a physical object or system, created to
monitor, analyze, and optimize its behavior and characteristics. A Spatial Digital Twin (SDT) …

Due to the ubiquitous use of spatial data applications and the large amounts of such data
these applications use, the processing of large-scale distance joins in distributed systems is …

In the current era of big spatial data, the vast amount of produced mobility data (by sensors,
GPS-equipped devices, surveillance networks, radars, etc.) poses new challenges related to …

We present Strabo 2, a distributed geospatial RDF store able to process GeoSPARQL
queries over massive RDF datasets. Strabo 2 is based on robust technologies, able to scale …

Spatial analytics systems (SASs) represent a technology capable of managing huge
volumes of spatial data using frameworks such as Apache Hadoop and Apache Spark. An …

With the accelerated growth in spatial data volume, being generated from a wide variety of
sources, the need for efficient storage, retrieval, processing and analyzing of spatial data is …

We present an application framework that consumes streaming positions from a large fleet of
flying aircrafts monitored in real time over a wide geographical area. Tailored for aviation …