1984
DOI: 10.1016/0167-7152(84)90020-8
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Optimal monitoring network designs

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Cited by 192 publications
(111 citation statements)
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“…Thus, the question of how to best sample airborne pollutants in a monitoring network is nontrivial. Over the last two decades or so, an increasing amount of research has been oriented towards optimal network design, particularly in the area of air quality, for example, Caselton and Zidek (1984); Haas (1992); Pe´rez-Abreu and Rodrı´guez (1996); Zidek et al (2000); Chow et al (2002); Elkamel et al (2008); Pesch et al (2008); Ruiz-Ca´rdenas et al (2010); Zidek and Zimmerman (2010); Saunier et al (2011);Wu and Bocquet (2011);RuizCa´rdenas et al (2012).…”
Section: Introductionmentioning
confidence: 99%
“…Thus, the question of how to best sample airborne pollutants in a monitoring network is nontrivial. Over the last two decades or so, an increasing amount of research has been oriented towards optimal network design, particularly in the area of air quality, for example, Caselton and Zidek (1984); Haas (1992); Pe´rez-Abreu and Rodrı´guez (1996); Zidek et al (2000); Chow et al (2002); Elkamel et al (2008); Pesch et al (2008); Ruiz-Ca´rdenas et al (2010); Zidek and Zimmerman (2010); Saunier et al (2011);Wu and Bocquet (2011);RuizCa´rdenas et al (2012).…”
Section: Introductionmentioning
confidence: 99%
“…by ordinary kriging. Other promising methods have been proposed for optimising the monitoring network design, in particular those based on information theory, as in articles such as those by Amorocho and Espildora (1973), Caselton and Husain (1980), Caselton and Zidek (1984), Harmancioglu and Yevjevich (1987), Husain (1989), and Harmancioglu and Alspaslan (1992). Despite the elegance of these methods, they are limited by the need to assume a probability distribution for the variables, which may be unknown or difficult to determine.…”
Section: Introductionmentioning
confidence: 99%
“…Assuming that the field under measure can be modeled as a Gaussian process (GP), researchers have proposed multiple criteria for predicting the "informativeness" of a sampling position, most commonly either the variance of the GP or mutual information. Mutual information has been shown to be a more effective measure of sample utility [2], and has subsequently been used for both sensor placement [3] and the control of mobile sensors [4], [5], [6]. Alternative methods have been proposed to better cope with a lack a priori information about the field under measure.…”
Section: Related Workmentioning
confidence: 99%