joinLocEvent | R Documentation |
This function combines location and event data. Must run importData first.
joinLocEvent(
park = "all",
from = 2006,
to = as.numeric(format(Sys.Date(), "%Y")),
QAQC = FALSE,
abandoned = FALSE,
panels = 1:4,
locType = c("VS", "all"),
eventType = c("complete", "all"),
output = c("short", "verbose")
)
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.
|
abandoned |
Allows you to include (TRUE) or remove (FALSE; Default.) or abandoned plots.
|
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
|
output |
Allows you to return all columns or just the most important columns for analysis. Valid inputs are "short" and "verbose". |
returns a dataframe with location and visit events
## Not run:
importCSV('./forest_csvs')
# Select most recent survey of data from WEFA
WEFA_data <- joinLocEvent(park = 'WEFA', panels = c(2,4), from = 2015, to = 2018)
# Select data from cycle 3 for MABI and SAGA
cycle3 <- joinLocEvent(park = c("MABI", "SAGA"), from = 2014, to = 2017) # all parks is default
# Select data from plots that had a QA/QC event in ACAD in 2018
ACAD_data <- joinLocEvent(park = 'ACAD', QAQC = TRUE, from = 2018)
QAQC_plots <- ACAD_data$Plot_Name[which(ACAD_data$Event_QAQC == TRUE)]
ACAD_QAQC <- ACAD_data %>% filter(Plot_Name %in% QAQC_plots)
## End(Not run)
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