The University of Southampton
University of Southampton Institutional Repository

Non-stationary variogram models for geostatistical sampling optimisation: an empirical investigation using elevation data

Atkinson, P.M. and LLoyd, C.D. (2007) Non-stationary variogram models for geostatistical sampling optimisation: an empirical investigation using elevation data Computers & Geosciences, 33, (10), pp. 1285-1300. (doi:10.1016/j.cageo.2007.05.011).

Record type: Article

Abstract

A problem with use of the geostatistical Kriging error for optimal sampling design is that the design does not adapt locally to the character of spatial variation. This is because a stationary variogram or covariance function is a parameter of the geostatistical model. The objective of this paper was to investigate the utility of non-stationary geostatistics for optimal sampling design. First, a contour data set of Wiltshire was split into 25 equal sub-regions and a local variogram was predicted for each. These variograms were fitted with models and the coefficients used in Kriging to select optimal sample spacings for each sub-region. Large differences existed between the designs for the whole region (based on the global variogram) and for the sub-regions (based on the local variograms). Second, a segmentation approach was used to divide a digital terrain model into separate segments. Segment-based variograms were predicted and fitted with models. Optimal sample spacings were then determined for the whole region and for the sub-regions. It was demonstrated that the global design was inadequate, grossly over-sampling some segments while under-sampling others.

Full text not available from this repository.

More information

Published date: October 2007
Keywords: kriging, spatial structure, dem

Identifiers

Local EPrints ID: 52541
URI: http://eprints.soton.ac.uk/id/eprint/52541
ISSN: 0098-3004
PURE UUID: 0c170114-ca84-4d32-bf82-516b5a4ac1eb

Catalogue record

Date deposited: 09 Jul 2008
Last modified: 17 Jul 2017 14:40

Export record

Altmetrics

Contributors

Author: P.M. Atkinson
Author: C.D. LLoyd

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×