Description Usage Format References
Rousset et al. (2016) presented the loaloa data set which describes prevalence of infection by the nematode Loa loa in North Cameroon, 1991- 2001. The study investigated the relationship between altitude, vegetation indices, and prevalence of the parasite.
1 | data("Loaloa")
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A data frame with 197 observations on the following 11 variables.
longitude
longitude, in degrees
latitude
latitude, in degrees
ntot
sample size per location
npos
number of infected individuals per location
maxNDVI
maximum normalised-difference vegetation index (NDVI) from repeated satellite scans
seNDVI
standard error of NDVI
elev1
altitude, in m
elev2
additional altitude variables derived from the previous one, provided for convenience respectively, positive values of altitude-650,
elev3
positive values of altitude-1000
elev4
positive values of altitude-1300
maxNDVI1
a copy of maxNDVI modified as maxNDVI1 (maxNDVI1=0.8 if maxNDVI>0.8, maxNDVI1=maxNDVI otherwise)
Rousset, F., Ferdy, J.B. and Courtiol, A. (2016). spaMM: Mixed Models, Particularly Spatial GLMMs. R package version 1.7.2.
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