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The book is concerned with the statistical theory for locating spatial sensors. It bridges the gap between spatial statistics and optimum design theory. After introductions to those two fields the topics of exploratory designs and designs for spatial trend and variogram estimation are treated. Special attention is devoted to describing new methodologies to cope with the problem of correlated observations. A great number of relevant references are collected and put into a common perspective. The theoretical investigations are accompanied by a practical example, the redesign of an Upper-Austrian air pollution monitoring network. A reader should be able to find respective theory and recommendations on how to efficiently plan a specific purpose spatial monitoring network. The third edition takes into account the rapid development in the area of spatial statistics by including new relevant research and references. The revised edition contains additional material on design for detecting spatial dependence and for estimating parametrized covariance functions. .

Experimental design. --- Random fields. --- Fields, Random --- Stochastic processes --- Design of experiments --- Statistical design --- Mathematical optimization --- Research --- Science --- Statistical decision --- Statistics --- Analysis of means --- Analysis of variance --- Experiments --- Methodology --- Regional economics. --- Statistics. --- Environmental sciences. --- Geography. --- Regional/Spatial Science. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Math. Appl. in Environmental Science. --- Earth Sciences, general. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Cosmography --- Earth sciences --- World history --- Environmental science --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Economics --- Regional planning --- Regionalism --- Space in economics --- Spatial economics. --- Statistics . --- Earth sciences. --- Geosciences --- Environmental sciences --- Physical sciences --- Spatial economics --- Regional economics