View source: R/sumSpeciesList.R
sumSpeciesList | R Documentation |
This function summarizes all species data collected in a plot visit, including live trees, microplots, quadrats, and additional species lists.
sumSpeciesList(
park = "all",
from = 2006,
to = as.numeric(format(Sys.Date(), "%Y")),
QAQC = FALSE,
panels = 1:4,
locType = c("VS", "all"),
eventType = c("complete", "all"),
numMicros = 3,
speciesType = c("all", "native", "exotic", "invasive"),
...
)
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.
|
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. |
locType |
Allows you to only include plots that are part of the GRTS sample design or include all plots, such as deer exclosures.
|
eventType |
Allows you to include only complete sampling events or all sampling events
|
numMicros |
Allows you to select 1, 2, or 3 microplots of data to summarize |
speciesType |
Allows you to filter on native, exotic or include all species.
|
... |
Other arguments passed to function. |
Returns a dataframe with species list for each plot.
## Not run:
importData()
# Compile number of invasive species found per plot cycle 3 recent survey for all parks
inv_spp <- sumSppList(speciesType = 'invasive', from = 2015, to = 2018)
inv_spp$present <- ifelse(is.na(inv_spp$ScientificName), 0, 1)
num_inv_per_plot <- inv_spp %>% group_by(Plot_Name) %>% summarize(numspp = sum(present, na.rm = T))
# Compile species list for SARA in 2019
SARA_spp <- sumSppList(park = 'SARA', from = 2019)
## End(Not run)
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