10 Result(s)
within
Chapter
Francisco García-García
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Chapter and Conference Paper
Enhancing Sedona (formerly GeoSpark) with Efficient k Nearest Neighbor Join Processing
Sedona (formerly GeoSpark) is an in-memory cluster computing system for processing large-scale spatial data, which extends the core of Apache Spark to support spatial datatypes, partitioning techniques, indexes, ...
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Chapter and Conference Paper
MRSLICE: Efficient RkNN Query Processing in SpatialHadoop
Nowadays, with the continuously increasing volume of spatial data, it is difficult to execute spatial queries efficiently in spatial data-intensive applications, because of the limited computational capability...
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Chapter and Conference Paper
The Virtuality Continuum and Storytelling: Simulation, Interactivity, User Experience and Interaction Design in Virtual and Mixed Environments. A STEAM Based Approach
Virtual reality and digital environments are phenomena that have several theoretical and experimental approaches different domains research fields. The interactivity, simulation, or immersion in virtual enviro...
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Chapter and Conference Paper
Voronoi-Diagram Based Partitioning for Distance Join Query Processing in SpatialHadoop
SpatialHadoop is an extended MapReduce framework supporting global indexing techniques that partition spatial data across several machines and improve query processing performance compared to traditional Hadoo...
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Chapter and Conference Paper
RkNN Query Processing in Distributed Spatial Infrastructures: A Performance Study
The Reverse k-Nearest Neighbor (RkNN) problem, i.e. finding all objects in a dataset that have a given query point among their corresponding k-nearest neighbors, has received increasing attention in the past year...
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Chapter and Conference Paper
A Comparison of Distributed Spatial Data Management Systems for Processing Distance Join Queries
Due to the ubiquitous use of spatial data applications and the large amounts of spatial data that these applications generate, the processing of large-scale distance joins in distributed systems is becoming in...
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Chapter and Conference Paper
SliceNBound: Solving Closest Pairs and Distance Join Queries in Apache Spark
The (K) Closest-Pair(s) Query, KCPQ, consists in finding the (K) closest pair(s) of objects between two spatial datasets. Recently, several systems that enhance Apache Spark with spatial-awareness have been p...
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Chapter and Conference Paper
Enhancing SpatialHadoop with Closest Pair Queries
Given two datasets P and Q, the K Closest Pair Query (KCPQ) finds the K closest pairs of objects from \(P \times Q\) ...
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Chapter and Conference Paper
XPath for Querying GML-Based Representation of Urban Maps
Geography Markup Language (GML) has been established as the standard language for the transport, storage and modelling of geographic information. In this paper we study how to adapt the XPath que...
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Chapter
Geodetic Research on Deception Island
Deception Island (62.93° S, 60.57°W) is one of the few active volcanoes in the Antarctica, whose most recent eruptions took place in 1842, 1967, 1969 and 1970. In the following paper geodetic investigations ca...
