bdq_meyer | R Documentation |
This function can be used to plan and execute selective cuttings of a native forest, without damaging the forest's natural structure.
bdq_meyer(
df,
plot,
dbh,
plot_area,
class_interval = 5,
dbh_min = 5,
licourt_index = 2,
output = "table"
)
df |
A data frame. |
plot |
Quoted name of the plot variable. used to differentiate the plot's trees, and calculate the number of sampled plots. |
dbh |
Quoted name of the diameter at breast height variable, in cm. |
plot_area |
Quoted name of the plot area variable, or a numeric vector with the plot area value. The plot area value must be in square meters. |
class_interval |
Numeric value for the class interval used to classify the data. Default: |
dbh_min |
Numeric value for minimum diameter value to be considered in the classifications. dbh values smaller than this will be dismissed from the classification. Default: |
licourt_index |
Numeric value for the start licourt index used. Default: |
output |
Character value for the desired output. Can be either |
a data frame, a lm object, a vector or a list, according to the output argument.
Eric Bastos Gorgens e.gorgens@gmail.com
Souza, A. L. and Soares, C. P. B. (2013) Florestas Nativas: estrutura, dinamica e manejo. Vicosa: UFV.
library(forestmangr)
data("exfm20")
head(exfm20)
# To get the table with the regulated forest:
bdq_meyer(exfm20, "transect", "dbh", 1000)
# Use different class interval values to get different results:
bdq_meyer(exfm20, "transect", "dbh", 1000, class_interval = 10)
# It's possible to get different outputs:
bdq_meyer(exfm20, "transect", "dbh", 1000, output="model")
bdq_meyer(exfm20, "transect", "dbh", 1000, output="coefs")
bdq_meyer(exfm20, "transect", "dbh", 1000, output="full")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.