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.