Description Usage Format Details Source References Examples
Data on river sites was matched with data on fish caught at
nearby fishing sites. Fishing sites were classified according
to type of fish (Group
= fish river type).
1 |
A data frame with 128 observations on the following 23 variables.
Group
Fish river types; a factor with levels F1
F2
F3
F4
F5
F6
Alk
mgm/l of CaCO3
Avrain
mean annual rainfall, mm
Bedrock
% cover on river edge attached to substratum
Boulder
numeric, % cover of stones > 200mm diameter
Cobble
numeric, % cover of stones between 60 \& 200mm
Cond
electrical conductivity (mu S/cm)
Dis
maximum distance from source (m)
DO
numeric, dissolved O2, % saturation
Elev
nearest contour line (m) below site
Fine
numeric, % cover of particles < 0.02mm
Gravel
numeric, % cover of particles between 2 \& 20mm
Lat
latitude
Long
longitude
NoxN
total oxidised Nitrogen (mgl/l)
Pebble
numeric, % cover of stones between 20 \& 60mm
Ph
a numeric vector
Sand
numeric, % cover of particles between 0.02 \& 2mm
Slope
numeric, elevatioon difference (m) between site \& a point 1km upstream
Tkn
total Kjeldahl Nitrogen (mgl/l)
Tpl
total Phosphorus (mgl/l)
Turb
turbidity (NTU)
Width
modal river width (m), assessed visually
To what extent can the fish river type be predicted, based on: (i) all
explanatory variables; (ii) the variables Avrain
, Dis
,
Elev
, Lat
, Long
and Slope
. The second set
comprises the variables that would be used in practice to predict
the fish river type at other sites.
Data relate to Turak and Koop (2007).
Turak, E and Koop, K. Multi-attribute ecological river typology for assessing ecological condition and conservation planning. Hydrobiologica 603:83-104, 2007.
1 2 3 4 | data(fishRivers)
library(MASS)
fish.lda <- lda(Group ~ Avrain + Dis +Elev + Lat + Long + Slope,
data=fishRivers)
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