bit: Bitterlich Method Sampling

In florestal: Results for Forest Inventories

Description

Calculates the Bitterlich method (or point sampling).

Usage

bit(x,A,k,E=0.1,p=0.05,ampl=2,rn=FALSE,pt=TRUE,save=TRUE)

Arguments

x	A data frame with seven columns: sample points in the first (in numerals), numbering of individuals in the second (in numerals), species in the third, height in the fourth (in meters), diameter in the fifth (in centimeters), radial distance in the sixth (in meters) and volume in the seventh (in cubic meters).
A	Total area, in hectares.
k	Basal area factor.
E	Required error, in decimal value. Default is 0.1.
p	Significance level, in decimal value. Default is 0.05.
ampl	Amplitude of diameter class range. Default is 2.
rn	Logical argument. If TRUE, calculates the sample intensity once again, with the degrees of freedom from the previous result.
pt	Logical argument. If TRUE (default), the language of the outputs is Portuguese. If FALSE, the language is English.
save	Logical argument. If TRUE (default), a docx file will be saved in the temporary files directory (run 'tempdir()') (if save=TRUE) with the generated tables and graphics.

Value

A list of tables and graphs, and a docx file saved in the temporary files directory (run 'tempdir()') (if save=TRUE). The console displays the sampling intensity.

Note

The function calculates the critical distance to check for inclusion or exclusion of doubtful trees, being included in the sample only those with radial distance less than or equal to the critical distance. Even if there are no doubtful trees, the radial distance column (fifth column) is required, in blank.

Author(s)

Igor Cobelo Ferreira

References

Bitterlich, W. (1948). Die Winkelzahlprobe. Allg. Forst-u. Holzwirtsch. Ztg., 59 (1/2): 4-5.

Pellico Netto, S.; Brena, D. (1997). Inventario florestal. Curitiba: Universidade Federal do Parana, 316 p.

Examples

library(florestal)

#loads the data

data("bit2")
head(bit2)

#Calculate the sampling parameters

bit(bit2,A=12,k=2)

florestal documentation built on Oct. 25, 2020, 1:07 a.m.