pcqm.indices: Mangrove Indices for Point-Centered Quarter Method

In gshideler/mangroveStructure: tools for calculating mangrove forest structure

Description

This function allows you to calculate the Holdridge Complexity Index and Mean Stand Diameter for pcqm data.

Usage

pcqm.indices(x, samplingpoint = "samplingpoint", dist = "dist",
  species = "species", dbh = "dbh", height = "height", sizebin = F)

Arguments

samplingpoint	Column name in data frame for sampling points (numerical). Default name is "samplingpoint". First sampling point must be 1.
dist	Column name in data frame for distance from tree to sampling point. Default name is "dist". Values must be in meters.
species	Column name in data frame for species. Default name is "species".
dbh	Column name in data frame for diameter at breast height. Default name is "dbh". Values must be in centimeters.
height	Column name in data frame for height (Optional). Default name is "height". Values must be in meters. When included, additional height-related outputs are displayed.
sizebin	Logical argument for displaying size class plot (Default is FALSE). If sizebin = TRUE, three graphs are generated: (1) an illustration of diameter size class proportions: <5 cm, 5–10 cm, and >10 cm DBH; (2) an illustration of tree height size class proportions: <5, 5–10, and >10 m; and (3) a scatterplot of the relationship between DBH and height.

Examples

pcqm.indices(mangrove_data)
pcqm.indices(mangrove_data, dbh = "Diameter", height = "Tree_Height", samplingpoint = "Sampling_Point", sizebin = T)

gshideler/mangroveStructure documentation built on Oct. 31, 2021, 4:37 a.m.