crossbill.Rd
267 1-kmsq quadrats were surveyed 3 times per year during 1999-2007.
data(crossbill)
A data frame with 267 observations on the following 58 variables.
id
Plot ID
ele
Elevation
forest
Percent forest cover
surveys
a numeric vector
det991
Detection data for 1999, survey 1
det992
Detection data for 1999, survey 2
det993
Detection data for 1999, survey 3
det001
Detection data for 2000, survey 1
det002
a numeric vector
det003
a numeric vector
det011
a numeric vector
det012
a numeric vector
det013
a numeric vector
det021
a numeric vector
det022
a numeric vector
det023
a numeric vector
det031
a numeric vector
det032
a numeric vector
det033
a numeric vector
det041
a numeric vector
det042
a numeric vector
det043
a numeric vector
det051
a numeric vector
det052
a numeric vector
det053
a numeric vector
det061
a numeric vector
det062
a numeric vector
det063
Detection data for 2006, survey 3
det071
Detection data for 2007, survey 1
det072
Detection data for 2007, survey 2
det073
Detection data for 2007, survey 3
date991
Day of the season for 1999, survey 1
date992
Day of the season for 1999, survey 2
date993
Day of the season for 1999, survey 3
date001
Day of the season for 2000, survey 1
date002
a numeric vector
date003
a numeric vector
date011
a numeric vector
date012
a numeric vector
date013
a numeric vector
date021
a numeric vector
date022
a numeric vector
date023
a numeric vector
date031
a numeric vector
date032
a numeric vector
date033
a numeric vector
date041
a numeric vector
date042
a numeric vector
date043
a numeric vector
date051
a numeric vector
date052
a numeric vector
date053
a numeric vector
date061
a numeric vector
date062
a numeric vector
date063
a numeric vector
date071
a numeric vector
date072
a numeric vector
date073
Day of the season for 2007, survey 3
Schmid, H. N. Zbinden, and V. Keller. 2004. Uberwachung der Bestandsentwicklung haufiger Brutvogel in der Schweiz, Swiss Ornithological Institute Sempach Switzerland
Switzerland
for corresponding covariate data
defined for all 1-kmsq pixels in Switzerland. Useful for making
species distribution maps.
#> 'data.frame': 267 obs. of 58 variables: #> $ id : int 1 2 3 4 5 6 7 8 9 10 ... #> $ ele : int 450 450 1050 950 1150 550 750 650 550 550 ... #> $ forest : int 3 21 32 9 35 2 6 60 5 13 ... #> $ surveys: int 3 3 3 3 3 3 3 3 3 3 ... #> $ det991 : int 0 0 NA 0 0 NA 0 0 0 0 ... #> $ det992 : int 0 0 NA 0 0 NA 0 0 0 0 ... #> $ det993 : int 0 0 NA 0 0 NA 0 0 0 0 ... #> $ det001 : int 0 0 0 1 1 0 0 0 0 1 ... #> $ det002 : int 0 0 0 0 1 0 0 0 0 0 ... #> $ det003 : int 0 0 0 0 1 0 1 0 0 0 ... #> $ det011 : int 0 0 1 0 0 0 NA 0 0 0 ... #> $ det012 : int 0 0 1 0 0 0 NA 0 0 0 ... #> $ det013 : int 0 0 0 0 1 0 NA 0 0 0 ... #> $ det021 : int 0 0 0 0 1 0 NA 0 0 0 ... #> $ det022 : int 0 0 0 0 0 0 NA 0 0 0 ... #> $ det023 : int 0 0 0 0 0 0 NA 0 0 1 ... #> $ det031 : int 0 0 1 0 1 0 0 0 NA 0 ... #> $ det032 : int 0 0 1 1 1 0 1 1 NA 0 ... #> $ det033 : int 0 0 1 0 0 0 0 0 NA 0 ... #> $ det041 : int 0 0 0 0 1 0 0 0 0 0 ... #> $ det042 : int 0 0 0 0 1 0 0 0 0 0 ... #> $ det043 : int 0 0 0 0 0 0 0 0 0 0 ... #> $ det051 : int 0 0 0 0 1 0 0 0 0 0 ... #> $ det052 : int 0 0 0 0 0 0 0 0 0 0 ... #> $ det053 : int 0 0 0 0 0 0 0 1 0 0 ... #> $ det061 : int 0 0 0 0 0 0 0 1 0 0 ... #> $ det062 : int 0 0 0 0 0 0 0 1 0 0 ... #> $ det063 : int 0 0 1 1 0 0 0 1 0 1 ... #> $ det071 : int 0 0 0 0 1 0 0 0 0 0 ... #> $ det072 : int 0 0 1 1 1 0 0 1 0 0 ... #> $ det073 : int 0 0 0 1 1 0 0 1 0 0 ... #> $ date991: int 34 17 NA 29 24 NA 26 23 21 37 ... #> $ date992: int 59 33 NA 59 45 NA 54 43 36 62 ... #> $ date993: int 65 65 NA 65 65 NA 74 71 56 75 ... #> $ date001: int 33 22 38 33 21 22 23 24 18 21 ... #> $ date002: int 48 50 67 48 46 35 37 37 31 49 ... #> $ date003: int 68 66 85 68 71 72 71 70 55 67 ... #> $ date011: int 30 14 28 24 31 27 NA 17 18 26 ... #> $ date012: int 54 28 50 54 56 55 NA 41 41 49 ... #> $ date013: int 76 61 83 76 73 80 NA 76 54 62 ... #> $ date021: int 29 13 30 39 23 28 NA 17 16 24 ... #> $ date022: int 58 39 47 61 44 56 NA 56 37 47 ... #> $ date023: int 73 62 74 77 71 73 NA 73 76 74 ... #> $ date031: int 24 18 26 31 16 24 37 31 NA 14 ... #> $ date032: int 49 40 55 62 44 51 60 45 NA 43 ... #> $ date033: int 76 68 87 76 70 60 74 71 NA 64 ... #> $ date041: int 28 23 25 24 22 27 20 21 34 20 ... #> $ date042: int 51 38 60 54 48 55 48 53 48 44 ... #> $ date043: int 74 59 95 74 69 64 55 75 67 70 ... #> $ date051: int 35 20 24 22 28 27 22 22 23 21 ... #> $ date052: int 52 35 59 60 51 39 43 41 49 36 ... #> $ date053: int 73 65 87 76 73 55 69 69 65 70 ... #> $ date061: int 19 15 23 22 23 29 29 24 23 21 ... #> $ date062: int 56 28 62 57 42 40 52 54 44 40 ... #> $ date063: int 65 55 90 78 70 52 65 69 66 68 ... #> $ date071: int 20 19 22 22 15 21 21 37 29 20 ... #> $ date072: int 46 50 55 49 43 40 53 50 43 40 ... #> $ date073: int 54 56 61 70 60 49 64 65 57 60 ...