Package: forestmangr 0.9.7.9

forestmangr: Forest Mensuration and Management

Processing forest inventory data with methods such as simple random sampling, stratified random sampling and systematic sampling. There are also functions for yield and growth predictions and model fitting, linear and nonlinear grouped data fitting, and statistical tests. References: Kershaw Jr., Ducey, Beers and Husch (2016). <doi:10.1002/9781118902028>.

Authors:Sollano Rabelo Braga [aut, cre, cph], Marcio Leles Romarco de Oliveira [aut], Eric Bastos Gorgens [aut]

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forestmangr/json (API)
NEWS

# Install 'forestmangr' in R:

install.packages('forestmangr', repos = c('https://sollano.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sollano/forestmangr/issues

Datasets:

exfm1 - Stratified random inventory pilot data
exfm10 - Inventory data of an eucalyptus forest Brazil with dominant height variable
exfm11 - Observed hieght values of trees, and estimated values using 3 different models
exfm12 - Inventory data of an eucalyptus forest in Brazil, with age and site variables
exfm13 - Experimental data on nitrogen effect in species fertilizing
exfm14 - Inventory data of an eucalyptus forest in Brazil, with age and dominant height variables
exfm15 - Simplified Inventory data of an eucalyptus forest in Brazil
exfm16 - Inventory data of an eucalyptus forest in Brazil, with age variable
exfm17 - Inventory data of an eucalyptus forest in Brazil, with age and site variables
exfm18 - Experimental data on nitrogen effect in species fertilizing
exfm19 - Volume of felled trees, measured in the Smalian method
exfm2 - Stratified random inventory definite data
exfm20 - Inventory data of a natural forest in Brazil
exfm21 - Inventory data of an eucalyptus forest in Brazil
exfm22 - Revenue data if an eucalyptus forest
exfm3 - Simple random inventory pilot data
exfm4 - Simple random inventory definite data
exfm5 - Systematic inventory data
exfm6 - Stratified random inventory definite data 2
exfm7 - Data of felled trees sections, measured in the Smalian method
exfm8 - Data of felled trees sections, measured in the Huber method
exfm9 - Inventory data of an eucalyptus forest in minas gerais, Brazil

On CRAN:

8.07 score 16 stars 381 scripts 1.1k downloads 44 exports 110 dependencies

Last updated 2 months agofrom:44f7673018. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 09 2024
R-4.5-win	OK	Nov 09 2024
R-4.5-linux	OK	Nov 09 2024
R-4.4-win	OK	Nov 09 2024
R-4.4-mac	OK	Nov 09 2024
R-4.3-win	OK	Nov 09 2024
R-4.3-mac	OK	Nov 09 2024

Exports::=%>%%T>%avg_tree_curve bdq_meyer bias_per check_names class_center classify_site diameter_class dom_height est_clutter fit_clutter forest_structure graybill_f guide_curve huberwb huberwob ident_model inv lm_resid lm_resid_group lm_table na_to_0 nls_table npv_irr outliersiqr plot_summarise pow resid_plot rm_empty_col rmse_per round_df similarity_matrix smalianwb smalianwob species_aggreg species_diversity sprs ss_diffs strs tree_summarise vertical_stratum vol_summarise

Dependencies:abind backports base64enc bitops boot broom bslib cachem car carData cli codetools colorspace commonmark confintr cowplot cpp11 crayon Deriv digest doBy dplyr fansi farver fastmap FinCal fontawesome Formula fs generics ggdendro ggplot2 ggpmisc ggpp ggthemes glue gridExtra gtable htmltools httpuv isoband jquerylib jsonlite labeling later lattice lifecycle lme4 lmodel2 lmtest lubridate magrittr MASS Matrix MatrixModels memoise mgcv microbenchmark mime miniUI minpack.lm minqa modelr multcomp multcompView munsell mvtnorm nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig plyr polynom promises purrr quantreg R6 rappdirs RColorBrewer Rcpp RcppEigen RCurl reshape2 rlang sandwich sass scales shiny sourcetools SparseM splus2R stringi stringr survival systemfit TH.data tibble tidyr tidyselect timechange utf8 vctrs viridisLite withr xtable xts zoo

Ajuste de equações lineares e não lineares por grupo

Rendered fromeq_group_fit_ptbr.Rmdusingknitr::rmarkdownon Nov 09 2024.

Last update: 2018-12-27
Started: 2018-10-28

Amostragem

Rendered fromsampling_ptbr.Rmdusingknitr::rmarkdownon Nov 09 2024.

Last update: 2021-01-24
Started: 2018-12-19

Análise fitossociológica

Rendered fromphyto_ana_ptbr.Rmdusingknitr::rmarkdownon Nov 09 2024.

Last update: 2018-12-29
Started: 2018-12-19

Avaliando crescimento e produção

Rendered fromyield_growth_ptbr.Rmdusingknitr::rmarkdownon Nov 09 2024.

Last update: 2018-12-27
Started: 2018-10-27

Cubagem e modelos volumétricos

Rendered fromvolume_est_ptbr.Rmdusingknitr::rmarkdownon Nov 09 2024.

Last update: 2021-08-16
Started: 2018-10-27

Evaluating yield and growth

Rendered fromyield_growth_en.Rmdusingknitr::rmarkdownon Nov 09 2024.

Last update: 2018-12-25
Started: 2018-12-19

Fitting linear and non-linear equations by group

Rendered fromeq_group_fit_en.Rmdusingknitr::rmarkdownon Nov 09 2024.

Last update: 2018-12-25
Started: 2018-12-24

Forest Inventory: Height estimation and plot summarise

Rendered frominvent_vol_plot_en.Rmdusingknitr::rmarkdownon Nov 09 2024.

Last update: 2018-12-25
Started: 2018-12-24

Inventário: estimativa de altura e totalização de parcelas

Rendered frominvent_vol_plot_ptbr.Rmdusingknitr::rmarkdownon Nov 09 2024.

Last update: 2019-04-25
Started: 2018-10-27

Phytosociological analysis

Rendered fromphyto_ana_en.Rmdusingknitr::rmarkdownon Nov 09 2024.

Last update: 2018-12-29
Started: 2018-12-19

Sampling

Rendered fromsampling_en.Rmdusingknitr::rmarkdownon Nov 09 2024.

Last update: 2021-01-24
Started: 2018-12-24

Volume estimation and volumetric models

Rendered fromvolume_est_en.Rmdusingknitr::rmarkdownon Nov 09 2024.

Last update: 2021-08-16
Started: 2018-12-24

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Pipe	%>% :=
Tee	%T>%
Generate the curve of a forest's average tree using the Kozak taper model	avg_tree_curve
Classify a forest for selective cutting using the Meyer BDq method	bdq_meyer
Bias of an estimator in percentage	bias_per
Check if character vector contains variable names	check_names
Classify a given variable and get center of class	class_center
Classify inventory data based on site index	classify_site
Divide data into diameter classes, and get number of observations	diameter_class
Calculate the dominant height of forest inventory data plots	dom_height
Estimate future and present basal area, volume, TCA, CMI and MMI values of the Clutter Growth and Yield Model	est_clutter
Stratified random inventory pilot data	exfm1
Inventory data of an eucalyptus forest Brazil with dominant height variable	exfm10
Observed hieght values of trees, and estimated values using 3 different models	exfm11
Inventory data of an eucalyptus forest in Brazil, with age and site variables	exfm12
Experimental data on nitrogen effect in species fertilizing	exfm13
Inventory data of an eucalyptus forest in Brazil, with age and dominant height variables	exfm14
Simplified Inventory data of an eucalyptus forest in Brazil	exfm15
Inventory data of an eucalyptus forest in Brazil, with age variable	exfm16
Inventory data of an eucalyptus forest in Brazil, with age and site variables	exfm17
Experimental data on nitrogen effect in species fertilizing	exfm18
Volume of felled trees, measured in the Smalian method	exfm19
Stratified random inventory definite data	exfm2
Inventory data of a natural forest in Brazil	exfm20
Inventory data of an eucalyptus forest in Brazil	exfm21
Revenue data if an eucalyptus forest	exfm22
Simple random inventory pilot data	exfm3
Simple random inventory definite data	exfm4
Systematic inventory data	exfm5
Stratified random inventory definite data 2	exfm6
Data of felled trees sections, measured in the Smalian method	exfm7
Data of felled trees sections, measured in the Huber method	exfm8
Inventory data of an eucalyptus forest in minas gerais, Brazil	exfm9
Fit the Clutter model for growth and yield	fit_clutter
Get the forest horizontal, vertical and internal structure	forest_structure
Graybill F Test	graybill_f
Get the guide curve plot for growth and yield analysis of inventory data	guide_curve
Calculate the volume with bark of trees using the Huber method	huberwb
Calculate the volume without bark of trees using the Huber method	huberwob
Identity of a Model Test	ident_model
Calculate the inverse of a number	inv
Fit linear regressions, with the option of removing outliers using a interactive plot of residuals.	lm_resid
Fit linear regressions by group, with the option of removing outliers using a interactive plot of residuals.	lm_resid_group
Fit linear regressions by group, and get different output options.	lm_table
Convert NA to zero on numeric variables	na_to_0
Fit non-linear regressions by group, using LM algorithm and get different output options.	nls_table
Calculate Net Present Value and other economic variables	npv_irr
Calculate interquartile range	outliersiqr
Summarize forest inventory data	plot_summarise
Raise a numeric vector to a given power	pow
Calculate residual values and create plots	resid_plot
Remove empty columns	rm_empty_col
RMSE of an estimator in percentage	rmse_per
Round all numeric variables of a data frame to a given digit	round_df
Get the similarity matrix of an area	similarity_matrix
Calculate the volume with bark of trees using the Smalian method	smalianwb
Calculate the volume without bark of trees using the Smalian method	smalianwob
Get the aggregation state of species	species_aggreg
Get the species diversity indexes	species_diversity
Simple Random Sampling	sprs
Systematic Sampling	ss_diffs
Stratified Random Sampling	strs
Calculate the equivalent diameter of trees with more than one trunk	tree_summarise
Divide data into 3 vertical strata	vertical_stratum
Summarize volume of trees	vol_summarise