Abstract Geospatial Data Analytics (GDA) is a futuristic platform for analyzing and
processing volumetric data in remote sensing and GIS applications. GDA utilizes the Internet …

Modern Information and Communication Technology enables an expansion of real-time
geospatial applications. These applications must process at the network's edge, not on the …

The cloud and fog computing paradigms are developing area for storing, processing, and
analysis of geospatial big data. Latest trend is mist computing which boost fog and cloud …

GeoSpatial (GS) data plays an important role for decision-making in different sectors such as
engineering, economic, political, environmental, and social aspects. Internet of Spatial …

Geospatial data analysis with the help of cloud and fog computing is one of the emerging
areas for processing, storing, and analysis of geospatial data. Mist computing is also one of …

Geospatial data analysis using cloud computing platform is one of the promising areas for
analysing, retrieving, and processing volumetric data. Fog computing paradigm assists …

Abstract Spatial Data Infrastructure (SDI) is an important framework for sharing geospatial
big data using the web. Integration of SDI with cloud computing led to emergence of Cloud …

In today's information age, the Internet of Spatial Things (IoST) is rapidly gaining
prominence. Massive amounts of geospatial data are generated by IoST and cloud …

In the last couple of years, massive growth has been seen in the Internet of Things (IoT). It is
being adopted by all the application areas worldwide and playing a vital role in making …

Geospatial data analysis is an emerging area of research today. Systems need to respond to
user requests in a timely manner. In this paper we have proposed a fog computing …