With the advancement of remote sensing technology, wide usage of GPS devices in vehicles
and cell phones, popularity of mobile applications, crowd sourcing, and geographic …

Objective In recent years, Big Data has been increasingly used to refer the coming era of
informationexplosion. Industry, academia, research and government sectors all have paid …

The recent explosion in the amount of spatial data calls for specialized systems to handle
big spatial data. In this survey, we summarize the state-of-the-art work in the area of big …

Spatial computing encompasses the ideas, solutions, tools, technologies, and systems that
transform our lives and society by creating a new understanding of spaces, their locations …

Welcome to the dawn of the Era of Big Data. Big spatial data are characterised by three main
features: volume beyond the limit of usual geo-processing, velocity higher than available by …

Big data have 4V characteristics of volume, variety, velocity, and veracity, which
authentically calls for big data analytics. However, what are the dominant characteristics of …

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

In recent years, there has been an explosion in the amounts of spatial data produced by
several devices such as smart phones, space telescopes, medical devices, among others …

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 …

This chapter discusses the challenges of traditional spatial analytical methods in their limited
capacity to handle big and messy data, as well as mining unknown or latent patterns. It then …