Efficiency has been a pivotal aspect of the software industry since its inception, as a system
that serves the end-user fast, and the service provider cost-efficiently benefits all parties. A …

Data sets in large applications are often too massive to fit completely inside the computers
internal memory. The resulting input/output communication (or I/O) between fast internal …

This paper describes SpatialHadoop; a full-fledged MapReduce framework with native
support for spatial data. SpatialHadoop is a comprehensive extension to Hadoop that injects …

The paper presents the details of designing and develo** GeoSpark, which extends the
core engine of Apache Spark and SparkSQL to support spatial data types, indexes, and …

Spatial Databases is the first unified, in-depth treatment of special techniques for dealing
with spatial data, particularly in the field of geographic information systems (GIS). This book …

Given a collection of Boolean spatial features, the colocation pattern discovery process finds
the subsets of features frequently located together. For example, the analysis of an ecology …

XML employs a tree-structured data model, and, naturally, XML queries specify patterns of
selection predicates on multiple elements related by a tree structure. Finding all occurrences …

Space support in databases poses new challenges in every part of a database management
system & the capability of spatial support in the physical layer is considered very important …

XML queries typically specify patterns of selection predicates on multiple elements that have
some specified tree structured relationships. The primitive tree structured relationships are …

The increasing availability of GPS-embedded mobile devices has given rise to a new
spectrum of location-based services, which have accumulated a huge collection of location …