lakes: Lake zooplankton diversity

In alr4: Data to Accompany Applied Linear Regression 4th Edition

Description

These data give the number of known crustacean zooplankton species for 69 world lakes. Also included are a number of characteristics of each lake. There are missing values.

Format

This data frame uses lake name as row label and contains the following columns:

Species

Number of zooplankton species

MaxDepth

Maximum lake depth, m

MeanDepth

Mean lake depth, m

Cond

Specific conductance, micro Siemans

Elev

Elevation, m

Lat

N latitude, degrees

Long

W longitude, degrees

Dist

distance to nearest lake, km

NLakes

number of lakes within 20 km

Photo

Rate of photosynthesis, mostly by the 14C method

Area

Lake area, in hectares

Source

Dodson, S. (1992), Predicting curstacean zooplankton species richness, Limnology and Oceanography, 37, 848–856.

References

Weisberg, S. (2014). Applied Linear Regression, 4th edition. Hoboken NJ: Wiley.

Examples

head(lakes)

Example output

Loading required package: car
Loading required package: carData
Loading required package: effects
lattice theme set by effectsTheme()
See ?effectsTheme for details.
            Species MaxDepth MeanDepth Cond Elev  Lat  Long Dist NLakes Photo
Superior         30      406       148   79  185 47.5  88.0 0.12   2183   200
Michigan         32      281        84  226  180 44.0  87.0 0.12    633   550
Great_Slave      19      613        73  215  159 62.0 113.0 0.12   8805    11
Erie             31       64        17  242  178 42.0  81.0 0.12    105   696
Winnipeg         25       38        12  205  219 52.0  97.0 0.12    301    66
Tahoe            12      404       313   92 1914 39.1 120.1 0.25     87   219
               Area
Superior    8240000
Michigan    5800000
Great_Slave 2860000
Erie        2580000
Winnipeg    2370000
Tahoe         48800

alr4 documentation built on May 2, 2019, 2:13 p.m.