Big data and geographic information systems (GIS) are two technologies that have
increasingly influenced many areas in the last 10 years and will continue to improve and …

Geospatial big data refers to spatial data sets exceeding capacity of current computing
systems. A significant portion of big data is actually geospatial data, and the size of such …

Recent years have seen the emergence of many new and valuable spatial datasets such as
trajectories of cell-phones and Global Positioning System (GPS) devices, vehicle engine …

The convergence of big data and geospatial computing has brought challenges and
opportunities to GIScience with regards to geospatial data management, processing …

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 …

ABSTRACT Geospatial Big Data has become a general term. Geospatial Big Data is mainly
used to describe heterogeneous, massive, and always unstructured or semi-structured …

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

Geospatial technologies have been widely used to support decision making in natural
disaster responses. There have been various efforts from multiple disasters to use …

Geospatial data, as a significant portion of big data, has recently gained the full attention of
researchers. However, few researchers focus on the evolution of geospatial data and its …

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 …