Description Usage Arguments Value Examples
This function creates a plot-level species list from live trees, microplots, quadrats, and additional species lists. This function only works for complete events and active plots.
1 2 3 4 5 6 7 8 9 10 11 | makeSppList(
speciesType = c("all", "native", "exotic"),
park = "all",
from = 2007,
to = 2019,
QAQC = FALSE,
panels = 1:4,
locType = "VS",
output,
...
)
|
speciesType |
Allows you to filter on native, exotic or include all species.
|
Returns a dataframe with species list for each plot.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | importData()
# Compile number of exotic species found per plot in most recent survey for all parks
exo_spp <- makeSppList(speciesType = 'exotic', from = 2015, to = 2018)
exo_spp$present<-ifelse(is.na(exo_spp$Latin_Name), 0, 1)
num_exo_per_plot <- exo_spp %>% group_by(Plot_Name) %>% summarise(numspp=sum(present, na.rm=T))
# Compile species list for a given panel of a park
PETE_spp <- makeSppList(park = 'PETE', from = 2015, to = 2015)
#--- arrange and drop unnecessary fields.
PETE_spp_final <- PETE_spp %>% arrange(Plot_Name, Latin_Name) %>%
select(Plot_Name, Latin_Name, Common, tree.stems, stocking.index, avg.quad.cover, shrub.cover,
addspp.present)
#--- make species list for a given plot from 2015
PETE_021_2015_spp <- PETE_spp %>% filter(Plot_Name == 'PETE-021') %>%
select(Plot_Name, Year, Latin_Name, Common) %>% droplevels()
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