crossbill: Detection/non-detection data on the European crossbill...

Description Usage Format Source See Also Examples

Description

267 1-kmsq quadrats were surveyed 3 times per year during 1999-2007.

Usage

1

Format

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

Source

Schmid, H. N. Zbinden, and V. Keller. 2004. Uberwachung der Bestandsentwicklung haufiger Brutvogel in der Schweiz, Swiss Ornithological Institute Sempach Switzerland

See Also

Switzerland for corresponding covariate data defined for all 1-kmsq pixels in Switzerland. Useful for making species distribution maps.

Examples

1
2

Example output

Loading required package: reshape
Loading required package: lattice
Loading required package: parallel
Loading required package: Rcpp
'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 ...

unmarked documentation built on May 27, 2021, 5:07 p.m.