Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges

Geospatial Analytics for Big Spatiotemporal Data: Algorithms, Applications, and Challenges

Explosive growth in the spatial and spatiotemporal data and the emergence of social media and location sensing technologies emphasize the need for developing new and computationally efficient geospatial analytics tailored for analyzing big data. In this white paper, we review major spatial data mining algorithms by closely looking at the computational and I/O requirements and allude to few appl...

Geospatial Big Data: Challenges and Opportunities

Automatic Scaling Hadoop in the Cloud for Efficient Process of Big Geospatial Data

Efficient processing of big geospatial data is crucial for tackling global and regional challenges such as climate change and natural disasters, but it is challenging not only due to the massive data volume but also due to the intrinsic complexity and high dimensions of the geospatial datasets. While traditional computing infrastructure does not scale well with the rapidly increasing data volum...

A New Initiative for Tiling, Stitching and Processing Geospatial Big Data in Distributed Computing Environments

Within recent years, several new approaches and solutions for Big Data processing have been developed. The Geospatial world is still facing the lack of well-established distributed processing solutions tailored to the amount and heterogeneity of geodata, especially when fast data processing is a must. The goal of such systems is to improve processing time by distributing data transparently acro...

A Review on Big Data Analytics : An Eminent Approach for Handling an Outsized Data

The volatile increase of data volume and the growing demands of data mining have stimulated us into the era of big data. Many research scholars are drawn their desirability towards the research areas of big data mining, machine learning, computational intelligence and social networking. The big data technologies with conventional data mining approaches have posed many challenges in the field of...