Inhibitory geostatistical designs for spatial prediction taking account of uncertain covariance structure

Author:

Chipeta Michael123,Terlouw Dianne234,Phiri Kamija2,Diggle Peter1

Affiliation:

1. Lancaster Medical School; Lancaster University; Lancaster U.K.

2. College of Medicine; University of Malawi; Blantyre Malawi

3. Malawi-Liverpool-Wellcome Trust; Blantyre Malawi

4. Liverpool School of Tropical Medicine; Liverpool U.K.

Funder

ESRC-NWDTC Majete integrated malaria control project grant

Publisher

Wiley

Subject

Ecological Modeling,Statistics and Probability

Reference45 articles.

1. Gaussian predictive process models for large spatial data sets;Banerjee;Journal of the Royal Statistical Society. Series B: Statistical Methodology,2008

2. Designing a benthic monitoring programme with multiple conflicting objectives;Bijleveld;Methods in Ecology and Evolution,2012

3. Spatially balanced sampling: application to environmental surveys;Brown;Procedia Environmental Sciences,2015

4. Adaptive geostatistical design and analysis for prevalence surveys;Chipeta;Spatial Statistics,2016

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