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'))

Peer review:

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:

8.15 score 16 stars 381 scripts 1.3k downloads 44 exports 110 dependencies

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

TargetResultDate
Doc / VignettesOKOct 10 2024
R-4.5-winOKOct 10 2024
R-4.5-linuxOKOct 10 2024
R-4.4-winOKOct 10 2024
R-4.4-macOKOct 10 2024
R-4.3-winOKOct 10 2024
R-4.3-macOKOct 10 2024

Exports::=%>%%T>%avg_tree_curvebdq_meyerbias_percheck_namesclass_centerclassify_sitediameter_classdom_heightest_clutterfit_clutterforest_structuregraybill_fguide_curvehuberwbhuberwobident_modelinvlm_residlm_resid_grouplm_tablena_to_0nls_tablenpv_irroutliersiqrplot_summarisepowresid_plotrm_empty_colrmse_perround_dfsimilarity_matrixsmalianwbsmalianwobspecies_aggregspecies_diversitysprsss_diffsstrstree_summarisevertical_stratumvol_summarise

Dependencies:abindbackportsbase64encbitopsbootbroombslibcachemcarcarDataclicodetoolscolorspacecommonmarkconfintrcowplotcpp11crayonDerivdigestdoBydplyrfansifarverfastmapFinCalfontawesomeFormulafsgenericsggdendroggplot2ggpmiscggppggthemesgluegridExtragtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclelme4lmodel2lmtestlubridatemagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminiUIminpack.lmminqamodelrmultcompmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplyrpolynompromisespurrrquantregR6rappdirsRColorBrewerRcppRcppEigenRCurlreshape2rlangsandwichsassscalesshinysourcetoolsSparseMsplus2RstringistringrsurvivalsystemfitTH.datatibbletidyrtidyselecttimechangeutf8vctrsviridisLitewithrxtablextszoo

Ajuste de equações lineares e não lineares por grupo

Rendered fromeq_group_fit_ptbr.Rmdusingknitr::rmarkdownon Oct 10 2024.

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

Amostragem

Rendered fromsampling_ptbr.Rmdusingknitr::rmarkdownon Oct 10 2024.

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

Análise fitossociológica

Rendered fromphyto_ana_ptbr.Rmdusingknitr::rmarkdownon Oct 10 2024.

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

Avaliando crescimento e produção

Rendered fromyield_growth_ptbr.Rmdusingknitr::rmarkdownon Oct 10 2024.

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

Cubagem e modelos volumétricos

Rendered fromvolume_est_ptbr.Rmdusingknitr::rmarkdownon Oct 10 2024.

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

Evaluating yield and growth

Rendered fromyield_growth_en.Rmdusingknitr::rmarkdownon Oct 10 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 Oct 10 2024.

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

Forest Inventory: Height estimation and plot summarise

Rendered frominvent_vol_plot_en.Rmdusingknitr::rmarkdownon Oct 10 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 Oct 10 2024.

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

Phytosociological analysis

Rendered fromphyto_ana_en.Rmdusingknitr::rmarkdownon Oct 10 2024.

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

Sampling

Rendered fromsampling_en.Rmdusingknitr::rmarkdownon Oct 10 2024.

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

Volume estimation and volumetric models

Rendered fromvolume_est_en.Rmdusingknitr::rmarkdownon Oct 10 2024.

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

Readme and manuals

Help Manual

Help pageTopics
Pipe%>% :=
Tee%T>%
Generate the curve of a forest's average tree using the Kozak taper modelavg_tree_curve
Classify a forest for selective cutting using the Meyer BDq methodbdq_meyer
Bias of an estimator in percentagebias_per
Check if character vector contains variable namescheck_names
Classify a given variable and get center of classclass_center
Classify inventory data based on site indexclassify_site
Divide data into diameter classes, and get number of observationsdiameter_class
Calculate the dominant height of forest inventory data plotsdom_height
Estimate future and present basal area, volume, TCA, CMI and MMI values of the Clutter Growth and Yield Modelest_clutter
Stratified random inventory pilot dataexfm1
Inventory data of an eucalyptus forest Brazil with dominant height variableexfm10
Observed hieght values of trees, and estimated values using 3 different modelsexfm11
Inventory data of an eucalyptus forest in Brazil, with age and site variablesexfm12
Experimental data on nitrogen effect in species fertilizingexfm13
Inventory data of an eucalyptus forest in Brazil, with age and dominant height variablesexfm14
Simplified Inventory data of an eucalyptus forest in Brazilexfm15
Inventory data of an eucalyptus forest in Brazil, with age variableexfm16
Inventory data of an eucalyptus forest in Brazil, with age and site variablesexfm17
Experimental data on nitrogen effect in species fertilizingexfm18
Volume of felled trees, measured in the Smalian methodexfm19
Stratified random inventory definite dataexfm2
Inventory data of a natural forest in Brazilexfm20
Inventory data of an eucalyptus forest in Brazilexfm21
Revenue data if an eucalyptus forestexfm22
Simple random inventory pilot dataexfm3
Simple random inventory definite dataexfm4
Systematic inventory dataexfm5
Stratified random inventory definite data 2exfm6
Data of felled trees sections, measured in the Smalian methodexfm7
Data of felled trees sections, measured in the Huber methodexfm8
Inventory data of an eucalyptus forest in minas gerais, Brazilexfm9
Fit the Clutter model for growth and yieldfit_clutter
Get the forest horizontal, vertical and internal structureforest_structure
Graybill F Testgraybill_f
Get the guide curve plot for growth and yield analysis of inventory dataguide_curve
Calculate the volume with bark of trees using the Huber methodhuberwb
Calculate the volume without bark of trees using the Huber methodhuberwob
Identity of a Model Testident_model
Calculate the inverse of a numberinv
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 variablesna_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 variablesnpv_irr
Calculate interquartile rangeoutliersiqr
Summarize forest inventory dataplot_summarise
Raise a numeric vector to a given powerpow
Calculate residual values and create plotsresid_plot
Remove empty columnsrm_empty_col
RMSE of an estimator in percentagermse_per
Round all numeric variables of a data frame to a given digitround_df
Get the similarity matrix of an areasimilarity_matrix
Calculate the volume with bark of trees using the Smalian methodsmalianwb
Calculate the volume without bark of trees using the Smalian methodsmalianwob
Get the aggregation state of speciesspecies_aggreg
Get the species diversity indexesspecies_diversity
Simple Random Samplingsprs
Systematic Samplingss_diffs
Stratified Random Samplingstrs
Calculate the equivalent diameter of trees with more than one trunktree_summarise
Divide data into 3 vertical stratavertical_stratum
Summarize volume of treesvol_summarise