Geographic information system (GIS) is designed to generate maps, manage spatial
datasets, perform sophisticated “what if” spatial analyses, visualize multiple spatial datasets …

The high abundance of IoT devices have caused an unprecedented accumulation of
avalanches of geo-referenced IoT spatial data that if could be analyzed correctly would …

The advent of big data related to spatial position knowledge, called geospatial big data,
provides us with opportunities to recognize the urban environment. Existing database …

Current cloud-enabled NoSQL database frameworks support flexible and scalable storage
of huge amounts of data arriving through various and often heterogeneous channels …

Real-time intelligent video processing on embedded devices with low power consumption
can be useful for applications like drone surveillance, smart cars, and more. However, the …

We are moving towards 'smart'world in which industries, such as healthcare, smart cities,
transportation, and agriculture have started using IoT (Internet of Things). These applications …

Timely, region-based geo-maps like choropleths are essential for smart city applications like
traffic monitoring and urban planning because they can reveal statistical patterns in …

Large amounts of georeferenced data streams arrive daily to stream processing systems.
This is attributable to the overabundance of affordable IoT devices. In addition, interested …

The easily reachable IoT edge devices have caused the accumulation of vast amounts of
geo-referenced data traces that can help in performing deep insightful analytics. Geospatial …

Recent research focuses on building Cloud-based solutions for big geospatial data
analytics. Avalanches of georeferenced mobility data are being collected and processed …