joinTreeData: joinTreeData: compiles tree data

In KateMMiller/forestNETNarch: Package for importing, joining and querying MS Access based NETN forest database tables.

Description

This function combines location and event-level Tree data. Must run importData first.

Usage

joinTreeData(
  status = c("all", "live", "dead"),
  speciesType = c("all", "native", "exotic"),
  park = "all",
  from = 2006,
  to = 2018,
  QAQC = FALSE,
  locType = "VS",
  panels = 1:4,
  dist_m = NA,
  output,
  ...
)

Arguments

status	Filter by live, dead, or all. Acceptable options are: "all" Includes all standing trees "live" live trees only "dead" dead trees only
speciesType	Allows you to filter on native, exotic or include all species. "all" Default. Returns all species. "native" Returns native species only "exotic" Returns exotic species only
dist_m	Filter trees by a distance that is less than or equal to the specified distance in meters of the tree to the center of the plot. If no distance is specified, then all trees will be selected. For example, to select an area of trees that is 100 square meters in area, use a distance of 5.64m.

Value

returns a dataframe with plot-level and visit-level tree data

Examples

importData()
# compile tree data for live trees only in most recent survey in all parks
live_trees <- joinTreeData(status = 'live', from = 2015, to = 2018)

# compile ACAD trees within 100m^2 circle in most recent survey
ACAD_100m <- joinTreeData(park = 'ACAD', from = 2015, to = 2018, dist_m = 5.64)

# compile dead trees in MABI in most recent survey
MABI_dead <- joinTreeData(park = 'MABI', from = 2015, to = 2018, status = 'dead')

# compile exotic trees in MIMA in all years
MIMA_exotic <- joinTreeData(park = 'MIMA', from = 2015, to = 2018, speciesType = 'exotic')

KateMMiller/forestNETNarch documentation built on Dec. 18, 2021, 2:41 a.m.