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Cressie, N. (1993). Statistics for Spatial Data (Revised Edition). USA: John Wiley & Sons, Inc., 928 p.

has been cited by the following article:

  • TITLE: Spatial Analysis with myGeoffice.org: The Pb Jura Lake, Switzerland, Contamination Case

    AUTHORS: Joao Negreiros, Ana Neves

    KEYWORDS: Geographical Information Systems, myGeoffice©, Spatial Autocorrelation, Kriging, Geo-Simulation, Costs Analysis

    JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.7 No.2, February 25, 2019

    ABSTRACT: Protecting groundwater from lead contamination is an important public-health concern and a major national environmental issue worldwide. This article addresses myGeoffice Web Internet service for geographers, in general, and geo-statistics researchers, in particular, with the famous water contamination case at Jura lake, Switzerland (a typical rural-urban region). Based on 189 samples of lead (Pb), five key investigation steps for a scientific perspective of any pollution incident are presented: Descriptive analysis (including nearest neighborhood, G(h) and Kernel techniques), spatial autocorrelation (Moran location scatterplot and Moran I) and Ordinary Kriging (OK) interpolation. The uncertainty and cost assessments issues are exceptionally tackled with Indicator Kriging (including the conditional cumulative distribution function, Shannon local entropy, probabilistic intervals and E-type estimation) and Gaussian geo-simulation. The total lead pollution exhibited patterns of high and low levels of concentrations along the all lake, leading to the conclusion that water is unsuitable for human consumption, in general, and unsuitable for any living organism, in particular sub-areas. It is also hoped that future GIS readers will follow this approach for their spatial cases with myGeoffice.