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Bayesian hierarchical models for analysing spatial point-based data at a grid level: a comparison of approaches

Overview of attention for article published in Environmental and Ecological Statistics, September 2014
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51 Mendeley
Title
Bayesian hierarchical models for analysing spatial point-based data at a grid level: a comparison of approaches
Published in
Environmental and Ecological Statistics, September 2014
DOI 10.1007/s10651-014-0299-y
Authors

Su Yun Kang, James McGree, Kerrie Mengersen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 2%
Italy 1 2%
Canada 1 2%
Switzerland 1 2%
Unknown 47 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 16%
Student > Ph. D. Student 5 10%
Student > Master 5 10%
Student > Doctoral Student 4 8%
Student > Postgraduate 3 6%
Other 2 4%
Unknown 24 47%
Readers by discipline Count As %
Environmental Science 5 10%
Mathematics 5 10%
Agricultural and Biological Sciences 4 8%
Social Sciences 4 8%
Engineering 2 4%
Other 6 12%
Unknown 25 49%