NEWS.md
Added a new set of country code conversion functions whose names match those for state and county conversions:
countryCodeToName()countryCodeToFIPS()countryFIPSToName()countryCodeToCode()countryNameToCode()countryNameToFIPS()These are now preferred over the older codeToCountry() and countryToCode() functions which, while deprecated, are still supported for backwards compatibility.
getCountryCode() and getTimezone() without invoking library MazamaSpatialUtils.This addresses the following error seen when using internal data in a dplyr context:
> IS <- SimpleCountriesEEZ %>% dplyr::filter(countryCode == "IS")
Error in `vec_size()`:
! `x` must be a vector, not a <sfc_MULTIPOLYGON/sfc> object.This error is explained here: https://www.mm218.dev/posts/2022-12-01-sf-in-packages/ and the simplest solution for this spatially-oriented package is to simply move sf from an import to a dependency (by moving it to the “Depends:” section of DESCRIPTION).
getSpatialData() by simply choosing the first polygon returned.convertWBDHUC() and pre-generated spatial data files: WBDHU2, WBDHU4, WBDHU6, WBDHU8 and WBDHU10.getHUC() and getHUCName().Added the following datasets to the archive at: http://data.mazamascience.com/MazamaSpatialUtils/Spatial_0.8/ * WBDHU2 (and simplified versions) * WBDHU4 (and simplified versions) * WBDHU6 (and simplified versions) * WBDHU8 * WBDHU10
Version 0.8.x is a complete refactoring of MazamaSpatialUtils to upgrade from dependence on the sp package to use of the sf package. As much as possible, the suite of functions and arguments will remain the same.
The following changes have been made:
dataset parameter has been renamed to datasetName in all functions where a name is expected rather than a sf dataframe object. This should have no effect on existing code which should “fuzzy match” dataset => datasetName.get~() functions.installSpatialData() so that dataset comes first.installSpatialData() attempts to install simplified versions of datasets: “_05”, “_02” and “_01”.lon and lat in getHUC() and getHUCName().subsetHUC() now handles NA values in SFDF$allStateCodes.USCensus116thCongress.Version 0.7 includes more datasets that have all been through identical processing and harmonization steps. In general, this release represents a clean-and-update revision that brings all aspects of the package up to modern standards.
Improvements include:
lon and lat withlongitudeandlatitude` in all functions.convertWikipediaTimezeonTable().convertWorldTimezones() and package internal dataset SimpleTimezones.convertGADM() to support GADM version 3.6.convertEEZCountries() and SimpleCountriesEEZ dataset.SimpleCountries datasetUS_countyCodes dataset with stateCode, stateFIPS, countyName, countyFIPS.New functions for converting between US county names/FIPS: * US_countyNameToFIPS() * US_countyFIPSToName()
loadSpatialData() that was returning dataset names with ".rda".convertWorldEEZ.R.convertHMSSmoke.R.convertStateLegislativeDistricts.R.convertTMWorldBordersSimple.R.convertTMWorldBorders.R.convertSimpleCountries.R.convertGACC.R.convertNWSFireZones.R.app/ directory and dependency on shiny.convertWikipediaTimezoneTable.R.convertEPARegions.R.convertOSMTimeZones.R.convertTerrestrialEcoregions.R.convertWeatherZones.R.convertGACC.R to use 2020 data.US_stateCodes.convertUSCensusStates.R to use 2019 data.convertCARBAirBains.R to latest coding style.convertUSCensusCBSA.R to latest coding style.convertIndianLands.R to latest coding style.New functions for converting among US state names/codes/FIPS: * US_stateCodeToName() * US_stateCodeToFIPS() * US_stateFIPSToCode() * US_stateFIPSToName() * US_stateNameToCode() * US_stateNameToFIPS()
US_stateCodes dataset to include only stateName, stateCode and stateFIPS columns. It is now more complete with codes for all states and territories.convertLayer() now properly passes encoding to rgdal::readOGR().convertUSCensusCounties() to use 2019 data.loadSpatialData() now recognizes both .RData and .rda files.convertEPARegions()convertMTBSBurnArea()convertUSCensusUrbanAreas()convertUSFSRangerDistricts()convertHILFDFederalLands() function.useBuffering argument to getUSCounties().loadSpatialData() which errored out when a directory existed with the same name as the dataset trying to be loaded.summarizeByPolygon() to modern dplyr syntax.%>% operator.simplify() function example donotrun so as to avoid a CRAN testing failure on fedora only – Ugh.runExample() to run shiny examplesREADME.md
getHUC()
dissolve() wrapper for rmapshaper::ms_dissolve()
simplify() wrapper for rmapshaper::ms_simplify()
CONUS and US_52 vectors of US state codes as package dataUS_stateCodes dataframe as package dataconvertStateLegislativeDistricts() function to download and convert US state level legislative districts on demandebolamap.Rmd converted to vignette, moved to vignettes/ and localNotebooks/ deletedcat() replaced with message(), warning(), or error()
convertUSCensusCBSA() to convert Metropolitan-/Micropolitan Statistical Areasverbose argument from getStateCode() function signatureallStateCodes in WBD~ datasetsUSIndianLands@data data from factor to character
docker/Dockerfile
ebolaMap vignetteDepends on sp package so that sp plotting is used by defaultSimpleCountries and SimpleTimezones datasetspolygonID column for every datasetorganizePolygons() now uniformly uses polygonID for rownames and polygons@ID so you can say: plot(SimpleCountries['IT',])
USCensusCounties datasetcodeToCode() to two functions: iso2ToIso3() and iso3ToIso2()
getCountry(). SimpleCountriesEEZ includes a 200-mile offshore buffer for more efficient and accurate spatial searchesTerrestrialEcoregions, USCensus115thCongress, USCensusStates, USCensusIndianLands
installSpatialData() installs all required datasetsloadSpatialData() no loads one or more datasets based on a patterninitializeSpatialData()
convertGADM() updated to GADM version 2.8 (handles .rds files)localVignettes/ebolaMap.Rmd
NA rather than generating warningsfindTimezones demo.convertWBDHUC() and convertHMSSmoke().convertHMSSmoke() function for smoke data from the NOAA Hazard Mapping Service."+proj=longlat +ellps=GRS80 +datum=NAD83 +no_defs".encoding argument to converLayer().convertUSCensusCounties() to use encoding='latin1'.useBuffering argument to getState(), getCountry() and getTimezone().getSpatialData() no longer fails on invalid/missing locations, now returns dataframe rows with all NA."+proj=longlat +ellps=GRS80 +datum=NAD83 +no_defs".convertWorldEEZ() function."+proj=longlat" to "+proj=longlat +ellps=GRS80 +datum=NAD83 +no_defs" to support libproj >= 4.9.1SpatialDataDir is now required.