A python package to calculate forest inventories.
$ pip install fivpy- 'fivpy' can be used to perform forest inventories for a dataset containing the columns units (with the sampled units), dbh or cbh (with the diameter or circunference of the sampled tress) and height (with the height of the sampled trees).
import pandas as pd
from fivpy import RandomSampling
# Loading the data
data = pd.read_csv('../src/fivpy/data/data_2.csv', sep=';', decimal=',')
# Creating a inventory instance
inventory_1 = RandomSampling(data,
unit_area=0.02,
sampling_area=11,
significance=90,
sampling_error=10)
# Calculating inventory atributes
inventory_1.srs_inventory()For more infos and examples of usage please visit https://fivpy.readthedocs.io/
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
fivpy was created by Theilon Macedo. It is licensed under the terms of the MIT license.
fivpy was created with cookiecutter and the py-pkgs-cookiecutter template.
The metodology used here is based on the book 'Dendrometria e Inventário Florestal'. SOARES, C.P.B.; PAULA NETO. F.; SOUZA, A.L. Dendrometria e inventário florestal. 2. Ed. Viçosa: Editora UFV. 2011. 272 p.