WHscores-data: WET-health Scores in East African Assessment Units
In kamapu/Lexiguel: Miscellaneous Functions

WHscores-data

R Documentation

WET-health Scores in East African Assessment Units

Description

A data frame containing information of 114 assessment units sampled in 4 countries (localities) and considering 4 land use types (unbalanced sampling).

The data frame contains following variables (columns):

UseunitID: Character vector with identifier for each assessment unit.
Country: Country of sampling.
Locality: Locality of sampling (one per country).
Landuse: Type of land use.
Area: Surface area of the unit in squared meters.
WET_hydro: WET-health scores for the hydrology module.
WET_geo: WET-health scores for the geomorphology module.
WET_veg: WET-health scores for the vegetation module.
WET_wat: WET-health scores for the water quality module.

Usage

WHscores

Format

An object of class data.frame with 114 rows and 9 columns.

Author(s)

Typology Team, https://www.wetlands-africa.de/

References

Kotze DC, Ellery WN, Macfarlane DM, Jewitt GPW (2012). A rapid assessment method for coupling anthropogenic stressors and wetland ecological condition. Ecological Indicators 13: 284-293.

Beuel S, Alvarez M, Amler E, Behn K, Kleißler K, Kotze, DC, Kreye C, Leemhuis C, Wagner K, Ziegler S, Willy DK (2015). Analyse von on-site und off-site Faktoren der hydrologischen Feuchtgebietsdegradation in Ostafrika. Forum für Hydrologie und Wasserbewirtschaftung 35.15: 171-180.

Beuel S, Alvarez M, Amler E, Behn K, Kotze D, Kreye C, Leemhuis C, Wagner K, Willy DK, Ziegler S, Becker M (2016). A rapid assessment of anthropogenic disturbances in East African wetlands. Ecological Indicators 67: 684-692.