The fractalforest package allows the simulation of
fractal trees and, consequently, fractal forests. The trees are created
using the Lindenmayer system (L-system).
It is possible to use forest inventory, floristic surveys, and phytosociological studies databases to represent the schematic profile of the forest, as shown in the following example.
library(fractalforest)
library(forestmangr)
library(dplyr)
data("exfm20")
dados <- exfm20 %>%
filter(!dead)
fracflor <- build_forest_profile(data = dados,
height = Htot,
diameter = dbh,
label = scientific.name,
leaf_size = 50,
tree_model = 2,
sample = TRUE,
n_trees = 30,
)
plot_forest_profile(fracflor,
label = scientific.name)
The build_forest_profile function creates a fractal tree
database from a dataset where each row represents a tree. When the
argument sample = TRUE, the trees to be plotted are
randomly selected from the dataset, and the number of trees is defined
by the n_trees argument.
The plot_forest_profile function uses the
ggplot2 package to plot the fractal forest based on the
dataset created by the build_forest_profile function.
Some parameters make it possible to customize the visualization of fractal trees, including adding colors, and diameters from the base to the top of the trees.
fracflor_colors <- fracflor %>%
select(tree_id) %>%
distinct() %>%
rowwise() %>%
mutate(cor_folhas = sample(c('darkgreen','darkolivegreen','darkolivegreen4','darkseagreen4'), 1),
cor_ramos = sample(c('firebrick4','brown4','chocolate4','bisque4'),1))
fracflor2 <- fracflor %>%
left_join(fracflor_colors, by = 'tree_id')
plot_forest_profile(fracflor2,
d_col = diameter,
branch_color = cor_ramos,
leaf_color = cor_folhas,
label = scientific.name)
There are several ways to introduce randomness when constructing the
fractal trees and fractal forests. The build_forest_profile
function includes arguments that control the variability of branch
angles, lengths, and even the distance between trees. The parameters are
detailed in the function documentation.
fracflor <- build_forest_profile(data = dados,
height = Htot,
diameter = dbh,
label = scientific.name,
leaf_size = 50,
randomness = T,
angle_cv = .1,
length_cv = .3,
dist_cv = .2,
tree_model = 6,
sample = TRUE,
n_trees = 30,
)
#> Building tree 1 of 30
Building tree 2 of 30
Building tree 3 of 30
Building tree 4
#> of 30
Building tree 5 of 30
Building tree 6 of 30
Building tree 7 of 30
Building
#> tree 8 of 30
Building tree 9 of 30
Building tree 10 of 30
Building tree 11 of
#> 30
Building tree 12 of 30
Building tree 13 of 30
Building tree 14 of 30
Building
#> tree 15 of 30
Building tree 16 of 30
Building tree 17 of 30
Building tree 18 of
#> 30
Building tree 19 of 30
Building tree 20 of 30
Building tree 21 of 30
Building
#> tree 22 of 30
Building tree 23 of 30
Building tree 24 of 30
Building tree 25 of
#> 30
Building tree 26 of 30
Building tree 27 of 30
Building tree 28 of 30
Building
#> tree 29 of 30
Building tree 30 of 30
fracflor2 <- fracflor %>%
left_join(fracflor_colors, by = 'tree_id')
plot_forest_profile(fracflor2,
d_col = diameter,
branch_color = cor_ramos,
leaf_color = cor_folhas,
label = scientific.name)
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.