Published September 24, 2014 | Version v1
Conference paper Open

Fields as a Generic Data Type for Big Spatial Data

  • 1. INPE (National Institute for Space Research), Brazil
  • 2. University of Maine


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.


Camara et al. - 2014 - Fields as a Generic Data Type for Big Spatial Data.pdf