Life history data of 84 wren species.

read_wrens()

Format

A GeoJSON file with with 84 entries and 12 variables. The variables are as follows:

  • ID. Entry order as in ref. 1

  • sci_name. Scientific name, character vector

  • com_mame. English name, character vector

  • subspecies. How many subspecies a species has.

  • clutch_size. Mean or modal clutch size

  • male_wing. Male wing length (mm)

  • female_wing. Female wing length (mm)

  • male_tarsus. Male tarsus length (mm)

  • female_tarsus. Female tarsus length (mm)

  • body_mass. Body mass (grams)

  • data_src. bibliographic source of each trait given in the order they appear (see references)

  • geometry. sfc simple feature geometry.

Note

The function read_wrens() reads the 'wrens.GeoJSON' data as a projected sf object.

References

BREEDING RANGES Ridgely, R.S., T. F. Allnutt, T. Brooks, D. K. McNicol, D. W. Mehlman, B. E. & Young, a.J.R.Z. (2007) Digital Distribution Maps of the Birds of the Western Hemisphere, version 3.0. NatureServe, Arlington, Virginia, USA.

1. Brewer, David. Wrens, dippers and thrashers. Bloomsbury Publishing, 2010.
2. Kroodsma, D. E., and D. Brewer. "Family Troglodytidae (Wrens)." Lynx Edicions, Barcelona (2005).
3. Dunning Jr, John B. CRC handbook of avian body masses. CRC press, 2007.

Examples

#> Loading required package: sf
#> Linking to GEOS 3.8.0, GDAL 3.0.4, PROJ 6.3.1
wrens = system.file('extdata','wrens.GeoJSON',package = 'rangeMapper') %>% st_read
#> Reading layer `wrens' from data source `/tmp/Rtmpi7HucQ/temp_libpath337551205cebe/rangeMapper/extdata/wrens.GeoJSON' using driver `GeoJSON' #> Simple feature collection with 84 features and 11 fields #> geometry type: MULTIPOLYGON #> dimension: XY #> bbox: xmin: -164.8716 ymin: -55.72056 xmax: -34.60225 ymax: 61.5632 #> geographic CRS: WGS 84
# or simpler wrens = read_wrens() plot(male_wing ~ female_wing, wrens)
plot(sf::st_geometry(wrens))