EurasianLynx | R Documentation |
The data are observations of Eurasian lynx (Lynx lynx) confirmed by experts and by the general public (and not confirmed by experts), summarized to a 10 x 10 km grid and for 3 occasions during a 'winter' (Nov-Dec, Jan-Feb, Mar-Apr). The observations are classified as 'certain' or 'uncertain', and only the latter are assumed to be contaminated with false positives (but both are subject to false-negative errors). This data set covers the Alps in Switzerland and Italy from 1994 to 2016.
data("EurasianLynx")
EurasianLynx
is a data frame with 43,332 rows corresponding to observations, and 10 columns:
factor: 'certain' or 'uncertain'.
site (10 x 10 km cell) identifier.
detection (1)/non-detection (0) for the three occasions.
the year of the observation.
the country, 'Italy' or 'Switzerland'.
the x coordinate of the cell, km E of the origin.
the y coordinate of the cell, km N of the origin.
the percentage forest cover in the cell.
The Foundation KORA (SCALP Project) and the Progetto Lince Italia (Anja Molinari-Jobin, Urs Breitenmoser, Fridolin Zimmermann).
Molinari-Jobin, A., Kéry, M., Marboutin, E., Molinari, P., Koren, I., Fuxjäger, C., Breitenmoser-Würsten, C., Wölfl, S., Fasel, M., Kos, I., Wölfl, M., & Breitenmoser, U. (2012) Monitoring in the presence of species misidentification: the case of the Eurasian lynx in the Alps. Animal Conservation, 15, 266-273.
Kéry, M. & Royle, J.A. (2021) Applied Hierarchical Modeling in Ecology AHM2 - 7.3.2 and 9.6.1.3.
data(EurasianLynx)
lynx <- EurasianLynx # Shorter name
str(lynx)
# Create additional columns needed for the analysis in 'unmarked':
lynx$occ.1 <- 1
lynx$occ.2 <- 2
lynx$occ.3 <- 3
lynx$sYear <- standardize(lynx$Year)
str(lynx)
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