publication . Conference object . Part of book or chapter of book . 2014

Fields as a Generic Data Type for Big Spatial Data

Name: Fields as a Generic Data Type for Big Spatial Data
Keywords: field data type, spatial fields, spatiotemporal data, big spatial data

Jim Jones; Karine Reis Ferreira; Alber Sanchez; Gilberto Ribeiro de Queiroz; Gilberto Camara; Gilberto Camara; Pedro Ribeiro de Andrade; Max J. Egenhofer; Lúbia Vinhas;

Open Access

Published: 24 Sep 2014

Summary

Abstract

This paper defines the Field data type for big spatial data. Most big spatial data sets provide information about properties of reality in a continuous way, which leads to their representation as fields. We develop a generic data type for fields that can represent different types of spatiotemporal data, such as trajectories, time series, remote sensing and climate data. To assess its power of generality, we show how to represent existing algebras for spatial data with the Fields data type. The paper also argues that array databases are the best support for processing big spatial data and shows how to use the Fields data type with array databases.

doi: 10.1007/978-3-319-11593-1_11

Subjects

free text keywords: field data type, spatial fields, spatiotemporal data, big spatial data, Big spatial data, Data mining, computer.software_genre, computer, Data type, Field data, Generality, Spatial analysis, Computer science

Related Organizations