Many environmental scientists are analysing spatial data by geostatistical methods and
interpolating from sparse sample data by kriging to make maps. They recognize its merits in …

Absolute principal component score/multiple linear regression (APCS/MLR) and positive
matrix factorization (PMF) were applied to a dataset consisting of 10 heavy metals in 300 …

This Brief takes readers, in particular environmental scientists, through the important steps of
a geostatistical analysis. Most properties of the environment, such as rainfall, plant nutrients …

Geostatistics is essential for environmental scientists. Weather and climate vary from place
to place, soil varies at every scale at which it is examined, and even man-made attributes …

Spatial Data Analysis: Theory and Practice, first published in 2003, provides a broad ranging
treatment of the field of spatial data analysis. It begins with an overview of spatial data …

Geostatistics brings to ecology novel tools for the interpretation of spatial patterns of
organisms, of the numerous environmental components with which they interact, and of the …

Applied Mineral Inventory Estimation presents a comprehensive applied approach to the
estimation of mineral resources/reserves with particular emphasis on the geological basis of …

Aim The spatial organization of soil microbial communities on large scales and the
identification of environmental factors structuring their distribution have been little …

The standard estimator of the variogram is sensitive to outlying data, a few of which can
cause overestimation of the variogram. This will result in incorrect variances when …

A complete reexamination of Sudicky's (1986) field experiment for the geostatistical
characterization of hydraulic conductivity at the Borden aquifer in Ontario, Canada is …