clusterByDistance() which could fail when
incoming tibbles had very few rows.location_getSingleElevation_USGS() to use new
USGS API.locationID to
validateLocationTable().table_save() now supports a vector of
outputType formats and will save the location table in
multiple formats.clusterByDistance() and
table_addClustering() functions.zip to postalCode in the core
metadata.location_createID() now defaults to the
"geohash" algorithm.mazama_initialize() to
initializeMazamaSpatialUtils().algorithm argument to location_createID() to
select between “digest” and “geohash”.na.rm = TRUE to all calls to
any(...) in various table_~() functions.location_getSingleElevation_USGS() to use the
new web service at https://apps.nationalmap.gov/pqs/.location_getSingleElevation_USGS().table_updateColumn() to ignore incoming
locationIDs that are not found in the
locationTbl.table_getDistanceFromTarget() and edited the
description of other distance functions to make clear what each
does.validateMazamaSpatialUtils() test from
table_addCoreMetadata() as this function just adds empty
columns and does not need any spatial data.table_addOpenCageInfo() to handle address
components that are missing from the openCage results.table_findAdjacentLocations() to only only
return unique locations and to ensure they are returned in order of
separation distance.jitter = 0 in
table_leaflet() and table_leafletAdd().table_filterByDistance().location_getOpenCageInfo() to get OpenCage
information for a single location.location_getCensusBlock() to add
censusYear argument.table_addOpenCageInfo() with support for reverse
geocoding using tidygeocoder.mazama_initialize() now only loads the high resolution
datasets used in location_initialize().match.arg().table_load() looks for .rda and then .csv
versions.table_save() to avoid deprecated arguments to
readr::write_csv().table_load() and
table_save().table_export(). Use table_save()
instead.~APIKey() functionality. Now importing this
from MazamaCoreUtils 0.4.10.table_getLocationID() and
table_getNearestDistance() by only calculating distance for
unique locations. This helps tremendously when longitude
and latitude come from “tidy” dataframes.table_initializeExisting().table_leaflet() and
table_leafletAdd() with improved defaults and more
flexibility.county to countyName. (This change
more closely matches spatial metadata found in other systems and fits
with the pattern of ~Code/~Name pairs in
MazamaSpatialUtils as is the case with
countryCode/CountryName and
stateCode/stateName.)table_findAdjacentDistances() when only
two locations are adjacent.table_updateColumn() now ignores NA values
in locationID.validateLonLat(), validateLonsLats(),
createLocationID().Version 0.2.x focuses on usability improvements after initial work with the package.
radius to
distanceThreshold throughout for clarity.table_initializeExisting() to only perform
spatial searches where data are missing in the incoming table. This
greatly speeds up performance.table_leafletAdd() function to make it easier to
compare “known locations” tables.”table_addCoreMetadata() function adds columns of
NA values for any missing core metadata but does not
perform any spatial calculations.table_findAdjacentLocations() function returns a
tibble of all locations that are too close (i.e. separated by
< distanceThreshold).table_findOverlappingLocations() renamed to
table_findAdjacentDistances().measure argument to
table_findAdjacentLocations(),
table_findAdjacentDistances(),
table_getLocationID() and
table_getNearestDistance().na.rm argument to
validateLonsLats().table_~()
functions.locationTbl whenever an incoming table includes
longitude and latitude variables.table_leaflet() function to display locations and
metadata.location_getSingleAddress_Photon() to remove
revgeo dependency.geodist::geodist() is now always called with
measure = "geodesic" to avoid warning messages from
geodist() about inaccuracies with
measure = "cheap" (the geodist()
default).mazama_initialize() now installs required datasets if
they are missing.table_findOverlappingLocations().table_initializeExisting() for fast conversion of
an existing table of spatial metadata into a standardized “known
location” table.table_findOverlappingLocations() to help choose
an appropriate radius when initializing from an existing metadata
table.addressService argument to
table_addLocation(),
table_addSingleLocation() andlocation_initialize()` to skip
the address step that requires web services.location_getCensusBlock() function.location_getSingleAddress_TexasAM() function.setAPIKey() and
getAPIKey().getLoations()getLocationID() and
getNearestLocation()