View source: R/joinTreeConditions.R
joinTreeConditions | R Documentation |
This function compiles tree condition data into a wide format with one row per tree visit and a column for each foliage condition type. Must run importData first. Abandoned plots and incomplete visits are excluded from function.
joinTreeConditions(
park = "all",
from = 2006,
to = as.numeric(format(Sys.Date(), "%Y")),
QAQC = FALSE,
locType = c("VS", "all"),
panels = 1:4,
status = c("all", "active", "live", "dead"),
speciesType = c("all", "native", "exotic", "invasive"),
canopyPosition = c("all", "canopy"),
dist_m = NA
)
park |
Combine data from all parks or one or more parks at a time. Valid inputs:
|
from |
Year to start analysis, ranging from 2006 to current year |
to |
Year to stop analysis, ranging from 2006 to current year |
QAQC |
Allows you to remove or include QAQC events.
|
locType |
Allows you to only include plots that are part of the GRTS sample design or include all plots, such as deer exclosures
|
panels |
Allows you to select individual panels from 1 to 4. Default is all 4 panels (1:4). If more than one panel is selected, specify by c(1, 3), for example. |
status |
Filter by live, dead, or all. Acceptable options are:
|
speciesType |
Allows you to filter on native, exotic or include all species.
|
canopyPosition |
Allows you to filter on tree crown class
|
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. |
returns a wide data frame with one row for each tree visit and tree conditions as columns. Note that vines in the crown and on the bole return the number of species in each condition. Remaining conditions are either 0 for absent or 1 for present. Only trees that are actively assessed for status are returned (e.g., trees with DF and DC status are not returned). If status = 'dead' is specified, only plots with dead trees are returned. Same goes for live trees, although fewer plots are affected. Status codes, such as VIN_B, CAVL, CAVS, which were added to the protocol later will return NA for years they were not assessed, otherwise codes are 0/1. The PM column indicates the tree status is missing for that visit.
## Not run:
importData()
# compile tree condition data for live trees in all parks in cycle 3, excluding QAQC visits
trcond_c3 <- joinTreeConditions(from = 2014, to = 2017, status = 'live', QAQC = FALSE)
# compile tree condition for ROVA in 2019, including QAQC visits for active trees
ROVA_trees <- joinTreeConditions(park = "ROVA", from = 2019, to = 2019, status = 'active',
QAQC = TRUE)
## End(Not run)
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