View source: R/joinTreeFoliageCond.R
joinTreeFoliageCond | R Documentation |
This function compiles live tree foliage 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.
joinTreeFoliageCond(
park = "all",
from = 2006,
to = as.numeric(format(Sys.Date(), "%Y")),
QAQC = FALSE,
locType = c("VS", "all"),
panels = 1:4,
speciesType = c("all", "native", "exotic", "invasive"),
canopyPosition = c("all", "canopy"),
dist_m = NA,
valueType = c("midpoint", "classes")
)
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. |
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. |
valueType |
Allows you to return cover class midpoints (numeric) or coverclass ranges (text)
|
returns a wide dataframe with one row for each live tree visit and foliage conditions as columns.
## Not run:
importData()
# compile numeric tree foliage condition data in all parks in cycle 3, excluding QAQC visits
fol_c3 <- joinTreeFoliageCond(from = 2014, to = 2017, valueType = 'midpoint', QAQC = FALSE)
# compile foliage condition cover classes for ROVA in 2019, including QAQC visits
ROVA_trees <- joinTreeFoliageCond(park = "ROVA", from = 2019, to = 2019, QAQC = TRUE,
valueType = 'classes')
## End(Not run)
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