Spatial variability in spoil sampling

Eastment, Henry T. and Russell, M. J. and Toleman, Mark (1989) Spatial variability in spoil sampling. Landscape and Urban Planning, 17 (2). pp. 121-126. ISSN 0169-2046

Abstract

[Abstract]: The determination of a satisfactory density of surface sampling of spatially-heterogenous coalmine spoil heaps was investigated. Radial sampling patterns in which samples were taken at geometrically-increasing distances on radii from a randomly-selected central point were used at three mine sites. At a fourth site, data taken from plots prior to an agronomic experiment was utilized. These four sets of data were analysed to identify whether two attributes, pH and electrical conductivity, were distributed in a spatially-random fashion. The analyses used were spatial autocorrelation analysis, and a classification (cluster analysis) based on standardized Euclidean distance. The analyses indicated that there was some non-randomness in the distribution of both variables. This patchiness was implied by the autocorrelation and variance analyses and illustrated by the classification procedure. Recommendations, based on these results, are made for procedures to be followed when sampling spoil surfaces for revegetation. These procedures are based on the minimum areas which, at any time, are economic to revegetate separately, and will make the most economic use of resources in selecting a spatial sampling density.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Author's verison unavailable in electronic format.
Depositing User: Mrs Rae Jones
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 03 Jul 2009 07:46
Last Modified: 02 Jul 2013 23:17
Uncontrolled Keywords: sampling density, revegetation, spatial sampling
Fields of Research (FOR2008): 04 Earth Sciences > 0403 Geology > 040309 Petroleum and Coal Geology
05 Environmental Sciences > 0502 Environmental Science and Management > 050207 Environmental Rehabilitation (excl. Bioremediation)
01 Mathematical Sciences > 0102 Applied Mathematics > 010299 Applied Mathematics not elsewhere classified
Socio-Economic Objective (SEO2008): D Environment > 96 Environment > 9609 Land and Water Management > 960908 Mining Land and Water Management
Identification Number or DOI: doi: 10.1016/0169-2046(89)90020-0
URI: http://eprints.usq.edu.au/id/eprint/5149

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