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Encyclopedia of GIS pp 1–7Cite as

Space-Time Geostatistics

Definition

Space-time geostatistics is concerned with the statistical modeling of environmental variables that vary in space as well as in time. It is an extension of conventional geostatistics, which only considers spatial variation. Common geostatistical concepts, such as the variogram, kriging, stochastic simulation, and sampling design optimization, have a natural extension in the space-time domain, although extra effort is required to model the joint variation in space and time effectively and realistically. The space-time variogram will have spatial and temporal components which may be very different because variation in space is not the same as variation in time. Space-time kriging takes these differences into account and yields optimal predictions at any point in the space-time domain of interest. The interpolation results can be displayed as a series or animations of spatial maps over time or as time series of predictions at as many spatial points as desired.

Space-time...

Keywords

  • Spatiotemporal Data
  • Spatiotemporal Covariance
  • Kriging With External Drift
  • Sample Variogram
  • Variogram Estimation

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Space-Time Geostatistics, Fig. 1
Space-Time Geostatistics, Fig. 2
Space-Time Geostatistics, Fig. 3

Notes

  1. 1.

    The data are available from AirBase - The European air quality database.

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Authors and Affiliations

  1. Environmental Sciences Group, Wageningen University, PO Box 47, Wageningen, Netherlands

    Gerard B. M. Heuvelink

  2. Institute for Geoinformatics, University of Münster, Heisenbergstr. 2, 48149, Münster, Germany

    Edzer Pebesma

  3. Institute of Hydrology, Ruhr University Bochum, Heisenbergstr. 2, 48149, Bochum, Germany

    Benedikt Gräler

Authors
  1. Gerard B. M. Heuvelink
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  2. Edzer Pebesma
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  3. Benedikt Gräler
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Corresponding author

Correspondence to Gerard B. M. Heuvelink .

Editor information

Editors and Affiliations

  1. Minneapolis, Minnesota, USA

    Shashi Shekhar

  2. Rutgers Business School, Newark, New Jersey, USA

    Hui Xiong

  3. The University of Iowa Tippie College of Business, Iowa City, Iowa, USA

    Xun Zhou

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Heuvelink, G.B.M., Pebesma, E., Gräler, B. (2016). Space-Time Geostatistics. In: Shekhar, S., Xiong, H., Zhou, X. (eds) Encyclopedia of GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-23519-6_1647-1

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  • DOI: https://doi.org/10.1007/978-3-319-23519-6_1647-1

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