Random sample of Swiss wetland vegetation, site information. Vegetation information is in wetveg.
Note: this differs from the same file in the 2nd edition as 4 observations are erased and 16 new site factors added.
data(wetsit)A data frame with 1496 observations on the following 85 variables.
EK2_Identifikationa factor with levels identifying phytosociologica identity
Flnr_ek1a numeric vector, a plot number
Flnr_ek2a numeric vector, a plot number
Areaa numeric vector, surface of plot
eka numeric vector
Objekt_Nra numeric vector
Kantona factor with levels identifying canton
Datuma factor with levels for date of sampling
Autor_Codea factor with levels for author code
Det_Codea factor with levels of author initials
Erhebunga numeric vector, survey, mainly 1
Torfmoosea factor with levels for Sphagnum cover
Uebrige_Moosea factor with levels for cover of other mosses
Zwergstraeuchera factor with levels for cover of dwarf shrubs
Straeuchera factor with levels for cover of shrubs
Baeumea factor with levels for cover of trees
Nekromassea factor with levels for cover of necro mass
Offener_Torfa factor with levels for cover of open turf
Offener_Mineralbodena factor with levels for mineral soil
Offene_Wasserflaechea factor with levels for open water surface
Stark_abgefressena factor with levels for browsing _ Ja Nein
Kurz_geschnittena factor with levels for cutting _ Ja Nein
Xa factor with levels for x-axis in space
Ya factor with levels for y-axis in space
Za factor with levels for z-axis in space, elevation
humiditya numeric vector
lighta numeric vector
temperaturea numeric vector
continentalitya numeric vector
reactiona numeric vector
nutrientsa numeric vector
humusa numeric vector
dispersitya numeric vector
Assoziation1_ek1a factor with levels for alliance names, first choice
Assoziation2_ek1a factor with levels for alliance names, second choice
Assoziation3_ek1a factor with levels for alliance names, third choice
X1._Wert_ek1a numeric vector
X2._Wert_ek1a numeric vector
X3._Wert_ek1a factor with levels (rather than a numeric vector as above)
Differenz_Wert1.Wert2a numeric vector
Unterverband1_ek1a factor with names of sub-alliance as levels, first choice
Unterverband2_ek1a factor with names of sub-alliance as levels, second choice
Verband1_ek1a factor with names of alliances as levels, first choice
Verband2_ek1a factor with names of alliances as levels, first choice
unklassierbar_verbanda factor with levels _ ja
Unterordnung1_ek1a logical vector
Unterordnung2_1ek1a logical vector
Ordnung1_ek1a factor with order as levels, first choice
Ordnung2_ek1a factor with order as levels, second choice
unklassierbar_ordnunga factor with levels _ ja
Unterklasse1_ek1a logical vector
Unterklasse2_ek1a factor with levels Polygono-Poenea_annuae
Klasse1_ek1a factor with class as levels, first choice
Klasse2_ek1a factor with class as levels, second choice
BAFU.Gruppe1_ek1a factor with vegetation type in german, first choice
BAFU.Gruppe2_ek1a factor with vegetation type in german, second choice
Wirkungskontrolle1_ek1a factor with vegetation type in german as levels
Wirkungskontrolle2_ek1a factor with vegetation type in german as levels
Wirkungskontrolle_engl1_ek1a factor with vegetation type in english as levels
Wirkungskontrolle_engl2_ek1a factor with vegetation type in english as levels
Moor_j.n1_ek1a factor with levels j n
Moor_j.n2_ek1a factor with levels j n
Assoziation_Nra numeric vector
Unterverband_Nra numeric vector
Verband_Nra numeric vector
Unterordnung_Nra logical vector
Ordnung_Nra numeric vector
Unterklasse_Nra logical vector
Klasse_Nra numeric vector
slp25_d8a numeric vector
ddeg300a numeric vector
precyya numeric vector
sfroyya numeric vector
tminalla numeric vector
sradyya numeric vector
swba numeric vector
mind7a numeric vector
SOILTYPEa factor with levels identifying soil type
GRUNDIGKEIa numeric vector
SKELETTa numeric vector
WASSERSPEIa numeric vector
NAHRSTOFFa numeric vector
WASSERDURCa numeric vector
VERNASSa numeric vector
GT_IDa numeric vector
Wildi, O. 2017. Data Analysis in Vegetation Ecology. 3rd ed. CABI, Oxfordshire, Boston.
# NOT RUN {
summary(wetsit)
# }
Run the code above in your browser using DataLab