10.1007/978-3-319-11593-1_11
https://zenodo.org/records/3830770
oai:zenodo.org:3830770
Camara, Gilberto
Gilberto
Camara
0000-0002-3681-487X
INPE (National Institute for Space Research), Brazil
Egenhofer, Max
Max
Egenhofer
0000-0002-2113-6164
University of Maine
Ferreira, Karine
Karine
Ferreira
0000-0003-2656-5504
INPE (National Institute for Space Research), Brazil
Andrade, Pedro
Pedro
Andrade
0000-0001-8675-4046
INPE (National Institute for Space Research), Brazil
Queiroz, Gilberto
Gilberto
Queiroz
0000-0001-7534-0219
INPE (National Institute for Space Research), Brazil
Sanchez, Alber
Alber
Sanchez
0000-0001-7966-2880
INPE (National Institute for Space Research), Brazil
Vinhas, Lubia
Lubia
Vinhas
0000-0003-1104-3607
INPE (National Institute for Space Research), Brazil
Fields as a Generic Data Type for Big Spatial Data
Zenodo
2014
field data type, spatial fields, spatiotemporal data, big spatial data
2014-09-24
Creative Commons Attribution 4.0 International
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.