Solved problems in geostatistics
by Leuangthong, Oy, Khan, K. Daniel, Deutsch, Clayton V.
This unique book presents a learn-by-doing introduction to geostatistics. Geostatistics provides the essential numerical tools for addressing research problems that are encountered in fields of study such as geology, engineering, and the earth sciences. Illustrating key methods …
This textbook provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology and agriculture. The book is written terms of the analysis of four data sets, two from ecology and two from agriculture.
Stochastic geometry: likelihood and computation
by Barndorff-Nielsen, O. E., (Ole E.), Kendall, W. S., van Lieshout, M. N. M., Séminaire Européen de Statistique on Stochastic Geometry, Theory, and Applications, Université Paul Sabatier)
fromMonographs on statistics and applied probability (Series)
Stochastic geometry concerns the study of random geometric structures, and blends geometric, probabilistic, and statistical methods to provide powerful techniques for modeling and analysis. Recent developments in computational statistical analysis, particularly Markov chain Mont…
Mathematical modelling and computer simulations are an essential part of the analytical toolset used by earth scientists. In this textbook, designed for use by mathematicians and non-mathematicians encountering the application of mathematics to the earth sciences for the first t…
From understanding environmental processes and climate trends to developing new technologies for mapping public-health data and the spread of invasive species, there is a high demand for statistical analyses of data that take spatial, temporal, and spatio-temporal information in…
