joinLocEvent: joinLocEvent: merges Location and Event level data with...

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

Description

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

Usage

joinLocEvent(
  park = "all",
  from = 2006,
  to = 2019,
  QAQC = FALSE,
  rejected = FALSE,
  panels = 1:4,
  locType = "VS",
  eventType = c("complete", "all"),
  output = "short",
  ...
)

Arguments

park	Combine data from all parks or one park at a time. Acceptable options are: "all" Includes all parks in the network "ACAD" Acadia NP only "MABI" Marsh-Billings-Rockefeller NHP only "MIMA" Minute Man NHP only "MORR" Morristown NHP only "ROVA" Roosevelt-Vanderbilt NHS only "SAGA" Saint-Gaudens NHS only "SARA" Saratoga NHP only "WEFA" Weir Farm NHS only
from	Year to start analysis, ranging from 2006-2019
to	Year to stop analysis, ranging from 2006-2019
QAQC	Allows you to remove or include QAQC events. FALSE Default. Only returns visits that are not QAQC visits TRUE Returns all visits, including QAQC visits
rejected	Allows you to remove (FALSE) or include (TRUE) rejected plots. FALSE Default. Only returns plots that were not rejected. TRUE returns all records
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 "VS" Only include plots that are part of the Vital Signs GRTS sample design "all" Include all plots, such as deer exclosures and bonus plots
eventType	Allows you to only include complete sampling events, or to include all sampling events "complete" Only include sampling events for a plot that are complete. "all Include all plots with an Event_ID, including plots that are missing all data associated with that event (eg ACAD-029.2010).

Value

returns a dataframe with location and visit events

Examples

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
cycle3 <- joinLocEvent(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 = T, from = 2018)
QAQC_plots<-ACAD_data$Plot_Name[which(ACAD_data$Event_QAQC==TRUE)]
ACAD_QAQC<-ACAD_data %>% filter(Plot_Name %in% QAQC_plots) %>% droplevels()

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