cover.indicators: Percent Cover Indicators

In nstauffer/dima.tools: Reading, Manipulating, Analyzing, and Visualizing Data from Copies of the Database for Inventory, Monitoring, and Assessment (DIMA)

Description

Calculate the percent cover indicators by plot or line for variables or combinations of variables.This is a family of standard indicator variables to examine total foliar cover, bare soil, litter cover, and other ground cover indicators. To compute cover by species, growth habit and duration, or other custom line-point intercept combinations, see pct.cover().

Usage

pct.cover.between.plant(lpi.tall, tall = FALSE, by.year = FALSE,
  by.line = FALSE)

pct.cover.all.ground(lpi.tall, tall = FALSE, by.year = FALSE,
  by.line = FALSE)

pct.cover.total.foliar(lpi.tall, tall = FALSE, by.year = FALSE,
  by.line = FALSE)

pct.cover.bare.soil(lpi.tall, tall = FALSE, by.year = FALSE,
  by.line = FALSE)

pct.cover.litter(lpi.tall, tall = FALSE, by.year = FALSE, by.line = FALSE)

Arguments

lpi.tall	A tall/long-format data frame. Use the data frame "layers" from the gather.lpi() output.
tall	Logical. If TRUE then the returned data frame will be tall rather than wide and will not have observations for non-existent values e.g., if no data fell into a group on a plot, there will be no row for that group on that plot. Defaults to FALSE.
by.year	Logical. If TRUE then results will be reported further grouped by year using the DateModified field from the data forms. Defaults to FALSE.
by.line	Logical. If TRUR then results will be reported further grouped by line using the LineID and LineKey fields from the data forms. Defaults to FALSE.

Value

A tbl of either wide or tall format.

nstauffer/dima.tools documentation built on May 20, 2019, 2:09 p.m.