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#Streamline process of reading in CSV and Shapefile data
#from Buffalo Open Data Portal (via Socrata API)
#
#Requires RSocrata, tidyverse, and sf
#
#read_bufdata() with no arguments for a list of possible dataset titles
read_bufdata <- function(title=NULL, format='CSV'){
if ( ! format %in% c('CSV', 'csv', 'Shapefile', 'shapefile') ){
stop('Data format must be "CSV" or "Shapefile"')
}
datasets = RSocrata::ls.socrata('https://data.buffalony.gov')
if( is.null(title) || ! title %in% datasets$title ){
cat('Available datasets:\n')
return(datasets$title)
}
ind = which(datasets$title == title)
urls = datasets$distribution[[ind]]$downloadURL
if ( format %in% c('CSV','csv') ){
csv_url = urls[grep('rows.csv',urls)]
if(length(csv_url)==0) stop('CSV format not available for dataset')
return( tibble::as_tibble(RSocrata::read.socrata(csv_url)) )
}
sf_url = urls[grep('Shapefile',urls)]
if(length(sf_url)==0) stop('Shapefile format not available for dataset')
dest_dir = tempdir()
dest <- tempfile(tmpdir=dest_dir)
download.file(sf_url, dest, quiet=T)
unzip(dest, exdir = dest_dir)
shape_name = grep('.shp',list.files(dest_dir),value=T)
setwd(dest_dir)
sf::st_read(shape_name,quiet=TRUE)
}
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