Quick Search:    advanced search

GSW Home   GeoRef Home   My GSW Alerts   Contact GSW   About GSW   Journals List   Help

This Article Figures Only Full Text Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Zhang, C. Articles by Carton, O. T. Search for Related Content GeoRef GeoRef Citation

Use of trans-Gaussian kriging for national soil geochemical mapping in Ireland

¹ Department of Geography, National University of Ireland, Galway, Ireland (Chaosheng.Zhang{at}nuigalway.ie)
² Teagasc, Environmental Research Centre, Johnstown Castle, Wexford, Ireland
³ Institute of Technology, Sligo, Ireland

Geochemical mapping requires a good understanding of geochemical variables and proper use of mathematical and mapping techniques. In this study, GIS mapping for the geochemical variables in Irish soils was achieved using trans-Gaussian kriging following investigation of probability features, outlier identification, optimal power transformation by the Box–Cox method and spatial structure modelling. Relatively high nugget effect values for the variogram models were observed for most variables. The assumption of spatial autocorrelation was seriously breached by two variables, available P and available K, and spatial interpolation was not performed for these. Two or even three nested theoretical models were needed to model variogram structures for most variables reflecting their variation at different spatial scales. The spatial distribution patterns for most elements illustrated the influences of underlying bedrock and soil type, while some of the heavy metals (e.g. Pb, Zn and Cu) were also affected by mining activities and urban sprawl. The available nutrients (P, K and Mg) appeared to be most affected by agricultural activities.

KEYWORDS: geochemical mapping, soil, geostatistics, GIS, trans-Gaussian kriging, optimal data transformation

This article has been cited by other articles:

				D. B. Smith and C. Reimann Low-density geochemical mapping and the robustness of geochemical patterns Geochemistry: Exploration, Environment, Analysis, November 1, 2008; 8(3-4): 219 - 227. [Abstract] [Full Text] [PDF]