transect_glance {fqar} | R Documentation |
Obtain tidy summary information for a floristic quality transect assessment
Description
transect_glance()
tidies a floristic quality transect assessment data
set obtained from universalfqa.org.
Usage
transect_glance(data_set)
Arguments
data_set |
A data set downloaded from
universalfqa.org either manually or using
|
Value
A data frame with 1 row and 54 columns:
title (character)
date (date)
site_name (character)
city (character)
county (character)
state (character)
country (character)
omernik_level_three_ecoregion (character)
fqa_db_region (character)
fqa_db_publication_year (character)
fqa_db_description (character)
fqa_db_selection_name (character)
custom_fqa_db_name (character)
custom_fqa_db_description (character)
practitioner (character)
latitude (character)
longitude (character)
community_code (character)
community_name (character)
community_type_notes (character)
weather_notes (character)
duration_notes (character)
environment_description (character)
other_notes (character)
transect_plot_type (character)
plot_size (numeric) Plot size in square meters
quadrat_subplot_size (numeric) Quadrat or subplot size in square meters
transect_length (numeric) Transect length in meters
sampling_design_description (character)
cover_method (character)
private_public (character)
total_mean_c (numeric)
cover_weighted_mean_c (numeric)
native_mean_c (numeric)
total_fqi (numeric)
native_fqi (numeric)
cover_weighted_fqi (numeric)
cover_weighted_native_fqi (numeric)
adjusted_fqi (numeric)
c_value_zero (numeric) Percent of c-values 0
c_value_low (numeric) Percent of c-values 1-3
c_value_mid (numeric) Percent of c-values 4-6
c_value_high (numeric) Percent of c-values 7-10
total_species (numeric)
native_species (numeric)
non_native_species (numeric)
mean_wetness (numeric)
native_mean_wetness (numeric)
annual (numeric)
perennial (numeric)
biennial (numeric)
native_annual (numeric)
native_perennial (numeric)
native_biennial (numeric)
Examples
# While transect_glance can be used with a .csv file downloaded manually
# from the universal FQA website, it is most typically used in combination
# with download_transect().
tyler <- download_transect(6352)
transect_glance(tyler)