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Volume 6, Number 3—June 2000

Research

Remote Sensing and Geographic Information Systems: Charting Sin Nombre Virus Infections in Deer Mice

John D. Boone*Comments to Author , Kenneth C. McGwire†, Elmer W. Otteson*, Robert S. DeBaca†, Edward A. Kuhn*, Pascal Villard*, Peter F. Brussard*, and Stephen C. St. Jeor*
Author affiliations: *University of Nevada, Reno, Nevada, USA; and †Desert Research Institute, Biological Sciences Center, Reno, Nevada, USA

Main Article

Table 1

Classification and prediction accuracies for Sin Nombre virus infection status, by vegetation type method and canonical discriminant function analysis

Site in Walker River Basin Classified negative % Classified positive % Overall accuracy %
Vegetation type Status 1 50 ± 12a 88 ± 8 76 ± 10
Vegetation type Status 2 36 ± 9 92 ± 6 59 ± 12
DFAb Status 1 84 ± 9 69 ± 11 74 ± 10
DFA Status 2 84 ± 9 80 ± 10 82 ± 9

aThe error terms following each estimate are 95% confidence intervals derived from the binomial distribution.
bDFA = discriminant function analysis

Main Article

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