Floristic Quality Assessment (FQA) is a standardized method for rating the ecological value of natural areas based on the plant species found within them. The
The
install.packages("fqar")
Alternatively, the development version can be installed from GitHub.
devtools::install_github("equitable-equations/fqar")
The
# download a list of all fqa databases:
databases <- index_fqa_databases()
# download a list of all assessments in a specific database:
chicago_fqas <- index_fqa_assessments(database_id = 149)
# download a list of all transect assessments in a specific database:
chicago_transects <- index_fqa_transects(database_id = 149)
Floristic quality assessments can be downloaded individually by ID number or collectively using
# download a single assessment:
woodland <- download_assessment(assessment_id = 25640)
# download multiple assessments:
mcdonald_fqas <- download_assessment_list(database_id = 149,
site == "McDonald Woods")
# download a single transect assessment:
rock_garden <- download_transect(transect_id = 6875)
# download multiple transect assessments:
lord_fqas <- download_transect_list(database = 63,
practitioner == "Sam Lord")
Unfortunately, the universalfqa.org server is often slow, and downloads (especially for transect assessments) may take some time.
Data sets obtained from universalfqa.org are quite messy.
# obtain a data frame with species data for a downloaded assessment:
woodland_species <- assessment_inventory(woodland)
# obtain a data frame with summary information for a downloaded assessment:
woodland_summary <- assessment_glance(woodland)
# obtain a data frame with summary information for multiple downloaded assessments:
mcdonald_summary <- assessment_list_glance(mcdonald_fqas)
Similar functions are provided for handling transect assessments. For those sets, physiognometric information can also be extracted.
# obtain a data frame with species data for a downloaded transect assessment:
survey_species <- transect_inventory(rock_garden)
# obtain a data frame with physiognometric data for a downloaded transect assessment:
survey_phys <- transect_phys(rock_garden)
# obtain a data frame with summary information for a downloaded transect assessment:
rock_garden_summary <- transect_glance(rock_garden)
# obtain a data frame with summary information for multiple downloaded transect assessments:
lord_summary <- transect_list_glance(lord_fqas)
The developmental version of
# Obtain a tidy data frame of all co-occurrences in the 1995 Southern Ontario database:
ontario <- download_assessment_list(database = 2)
# Extract inventories as a list:
ontario_invs <- assessment_list_inventory(ontario)
# Enumerate all co-occurrences in this database:
ontario_cooccurrences <- assessment_cooccurrences(ontario_invs)
# Sumamrize co-occurrences in this database, one row per target species:
ontario_cooccurrences <- assessment_cooccurrences_summary(ontario_invs)
Of particular note is the
aster_profile <- species_profile("Aster lateriflorus", ontario_invs)
- Read the
${\tt fqar}$ vignette to learn how to download and analyze FQAs with fqar. - View the help files of any function in the
${\tt fqar}$ package for more examples.
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