mulleinTest: Mullein data from Lava Beds National Monument - test dataset

In EZtune: Tunes AdaBoost, Elastic Net, Support Vector Machines, and Gradient Boosting Machines

Description

This dataset contains information about the presence and absence of common mullein (Verbascum thapsus) at 1,512 randomly selected sites in Lava Beds National Monument. The data were collected in summer 2006. This dataset may be used to evaluate predictive statistical procedures that have been fit on the mullein dataset.

Usage

mulleinTest

Format

A data frame with 1512 observations and 32 variables. One variable identifies the presence or absence of mullein in a 30m by 30m site and 31 variables are characteristics of the site where the data were collected.

In the original data there were 12 monthly values for each of the bioclimatic predictors. Principal components analyses suggested that for each of these predictors 2 principal components explained the vast majority (95.0%-99.5%) of the total variability. Based on these analyses, indices were created for each set of bioclimatic predictors. The variables with the suffix Ave in the variable name are the average of 12 monthly variables. The variables with the suffix Diff are contrasts between the sum of the April-September monthly values and the sum of the October-December and January-March monthly values, divided by 12. Roughly speaking, these are summer-to-winter contrasts.

The variables are summarized as follows:

VerbThap

Presence or absence of Verbascum thapsus, common mullein, (Absent = 0, Present = 1)

DegreeDays

Degree days in degrees Celsius

EvapoTransAve

Average monthly potential evapotranspiration in mm

EvapoTransDiff

Summer-to-winter difference in monthly potential evapotranspiration in mm

MoistIndAve

Average monthly moisture index in cm

MoistIndDiff

Summer-to-winter difference in monthly moisture index in cm

PrecipAve

Average monthly precipitation in cm

PrecipDiff

Summer-to-winter difference in monthly precipitation in cm

RelHumidAve

Average monthly relative humidity in percent

RelHumidDiff

Summer-to-winter difference in monthly relative humidity in percent

PotGlobRadAve

Average monthly potential global radiation in kJ

PotGlobRadDiff

Summer-to-winter difference in monthly potential global radiation in kJ

AveTempAve

Average monthly average temperature in degrees Celsius

AveTempDiff

Summer-to-winter difference in monthly average temperature in degrees Celsius

MinTempAve

Average monthly minimum temperature in degrees Celsius

MinTempDiff

Summer-to-winter difference in monthly minimum temperature in degrees Celsius

MaxTempAve

Average monthly maximum temperature in degrees Celsius

MaxTempDiff

Summer-to-winter difference in monthly maximum temperature in degrees Celsius

DayTempAve

Mean average daytime temperature in degrees Celsius

DayTempDiff

Summer-to-winter difference in average daytime temperature in degrees Celsius

AmbVapPressAve

Average monthly average ambient vapor pressure in Pa

AmbVapPressDiff

Summer-to-winter difference in monthly average ambient vapor pressure in Pa

SatVapPressAve

Average monthly average saturated vapor pressure in Pa

SatVapPressDiff

Summer-to-winter difference in monthly average saturated vapor pressure in Pa

VapPressDefAve

Average monthly average vapor pressure deficit in Pa

VapPressDefDiff

Summer-to-winter difference in monthly average vapor pressure deficit in Pa

Elevation

Elevation in meters

Slope

Percent slope

TransAspect

Transformed Aspect: TransAspect=(1-cos(Aspect))/2

DistRoad

Distance to the nearest road in meters

DistTrail

Distance to the nearest trail in meters

DistRoadTrail

Distance to the nearest road or trail in meters

Source

Cutler, D. Richard., Thomas C. Edwards Jr., Karen H. Beard, Adele Cutler, Kyle T. Hess, Jacob Gibson, and Joshua J. Lawler. 2007. Random Forests for Classification in Ecology. Ecology 88(11): 2783-2792.

EZtune documentation built on Dec. 11, 2021, 9:33 a.m.