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florestal (version 0.1.3)

bit: Bitterlich Method Sampling

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.

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

Run this code
# NOT RUN {
library(florestal)

#loads the data

data("bit2")
head(bit2)

#Calculate the sampling parameters

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

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