Nothing
loadCoordWR <- function(unit = c("country", "nato", "ocde", "continent", "region", "subregion", "region_wb", "type_income", "type_economy"),
res = c("low", "hi"),
unit_subset = NULL, matchWith = NULL, dir = NULL,
use_cache = TRUE, use_internet = TRUE, crs = NULL)
{
res <- match.arg(res, choices = eval(formals(loadCoordWR)$res))
unit <- match.arg(unit, choices = eval(formals(loadCoordWR)$unit))
if(is.null(crs))
{
crs <- mapping.options()$crs
}
file <- paste("world_",unit,"_",res,".geojson", sep = "")
nn <- paste("world_",unit,"_", res,sep = "")
download <- TRUE
if(use_cache)
{
fl <- list.files(tempdir())
ck <- startsWith(file, fl)
download <- !any(ck)
}
if(download){
if(!is.null(dir))
{
if(substr(dir, str_length(dir),str_length(dir)) == "/")
{
coord <- get(load(paste(dir, "world_",unit,"_",res,".RData", sep = "")))
}else{
coord <- get(load(paste(dir, "/world_",unit,"_",res,".RData", sep = "")))
}
}else
{
internet <- has_internet()
if(internet | use_internet)
{
url <- paste("https://raw.githubusercontent.com/mappinguniverse/geospatial/master/world/GeoJSON/", file, sep = "")
response <- FALSE
if(!response)
{
temp <- tempfile(pattern = nn, fileext = ".geojson")
download.file(url, paste(tempdir(),file,sep = "/"))
coord <- read_sf(dsn = paste(tempdir(),file,sep = "/"), as_tibble = FALSE)
}
}else{
coord <- get("world_low", pos = "package:mapping")
}
}
}else{
coord <- read_sf(dsn = paste(tempdir(),file,sep = "/"), as_tibble = FALSE)
}
coord <- st_transform(coord, crs = crs)
coord <- st_make_valid(coord)
class(coord) <- c(class(coord),"WR")
attributes(coord)$unit <- unit
attributes(coord)$colID <- unit
if(!is.null(unit_subset))
{
if(unit != "country" | unit != "nato" | unit != "ocde")
{
matchWith <- unit
}else
{
matchWith <- unit
}
unit_subset <- tolower(unit_subset)
unt <- tolower(coord[,matchWith, drop = TRUE])
coord <- coord[ unt %in% unit_subset, ]
}
return(coord)
}
checkNamesWR <- function(id,
unit = c("country", "nato", "ocde", "continent", "region", "subregion", "region_wb", "type_income", "type_economy"),
matchWith = c("country", "iso2", "iso3", "iso3_eh", "iso3_numeric", "iso3_un", "iso2_wb", "iso3_wb", "name_formal", "name_wb"),
res = c("low", "hi"), return_logical = FALSE, print = TRUE, use_internet = TRUE)
{
matchWith <- match.arg(matchWith, choices = eval(formals(checkNamesWR)$matchWith))
res <- match.arg(res, choices = eval(formals(checkNamesWR)$res))
unit <- match.arg(unit, choices = eval(formals(checkNamesWR)$unit))
coord <- loadCoordWR(unit = unit, res = res, use_internet = use_internet)
if(unit != "country" | unit != "nato" | unit != "ocde")
{
matchWith <- unit
}
Wr <- coord[[matchWith]]
if(!is.null(ncol(id)))
{
warning("id must be vector. The first column is considered")
id <- id[,1]
}
id <- tolower(id)
Wr <- tolower(id)
nomatch <- setdiff(x = id, y = Wr)
## NON FUNZIONA SISTEMARE!!!!!!!!!!!!!!!1
# if(any(nomatch))
# {
# warning(paste(x[nomatch], ", ") , call. = FALSE)
# }
if(!length(nomatch) == 0 & isTRUE(print))
{
warning(paste("No match found for variables: ", paste(nomatch, sep = ", ")) , call. = FALSE)
}
if(isTRUE(return_logical))
{
nomatch <- id %in% Wr
}
return(nomatch)
}
WR <- function(data, colID = NULL,
unit = c("country", "nato", "ocde", "continent", "region", "subregion", "region_wb", "type_income", "type_economy"),
matchWith = c("country", "iso2", "iso3", "iso3_eh", "iso3_numeric", "iso3_un", "iso2_wb", "iso3_wb", "name_formal", "name_wb"),
res = c("low", "hi"), show_wr = TRUE, subset = NULL, add = NULL, new_var_names = NULL,
aggregation_fun = sum, aggregation_unit = NULL, aggregation_var = NULL,
facets = NULL, check.unit.names = TRUE, dir = NULL, use_cache = TRUE, print = FALSE, use_internet = TRUE, crs = NULL)
{
res <- match.arg(res, choices = eval(formals(WR)$res))
matchWith <- match.arg(matchWith, choices = eval(formals(WR)$matchWith))
if(inherits(data, "WR"))
{
colID <- attributes(data)$colID
year <- attributes(data)$year
unit <- attributes(data)$unit
colName <- colnames(data)[colID]
coord <- loadCoordWR(unit = unit, res = res, use_cache = use_cache, use_internet = use_internet, crs = crs)
out <- data
}else{
unit <- match.arg(unit, choices = eval(formals(WR)$unit))
data <- data.frame(data, check.names = FALSE)
if(is.null(crs))
{
crs <- mapping.options()$crs
}
if(is.null(colID))
{
colID <- 1
}else{
if(is.character(colID))
{
colID <- which(names(data) == colID)
}
}
coord <- loadCoordWR(unit = unit, res = res, use_cache = use_cache, use_internet = use_internet, crs = crs, dir = dir)
coord[[matchWith]] <- tolower(coord[[matchWith]])
data[,colID] <- tolower(data[,colID])
if(check.unit.names)
{
wr <- coord[[matchWith]]
dd <- setdiff(x = data[,colID, drop = TRUE], y = wr)
if(!length(dd) == 0 & isTRUE(print))
{
warning(paste("No match found for variables: ", paste(dd, sep = ", ")) , call. = FALSE)
}
}
if(!is.null(add))
{
if(!inherits(add, "formula"))
{
stop("add must be a formula.")
}
data <- add.formula(data = data, formula = add, names = new_var_names)
}
colName <- colnames(data)[colID]
wh_colName <- colnames(coord) == matchWith
wh_ck <- colnames(coord) %in% colnames(data)
if( sum(wh_ck) >= 1)
{
colnames(coord)[wh_ck] <- paste(colnames(coord)[wh_ck], "_load", sep = "")
}
colnames(coord)[wh_colName] <- colName
out <- suppressMessages(left_join(coord, data, by = (colName)))
}
if(!is.null(subset))
{
if(!inherits(subset, "formula"))
{
stop("subset must be a formula.")
}
out <- subset_formula(data = out, formula = subset)
}
if(!is.null(aggregation_unit))
{
if(is.null(aggregation_fun))
{
stop("aggregation_fun must be provided to aggregate data")
}
if(is.null(aggregation_var))
{
stop("aggregation_var must be provided to aggregate data")
}else{
if(is.numeric(aggregation_var))
{
aggregation_var <- colnames(data)[aggregation_var]
}else{
if(!any(sapply(aggregation_var, function(x) x == colnames(out))))
{
stop("Column names aggregation_var does not exist.", call. = FALSE)
}
}
}
#year <- attributes(data)$year
if(any(aggregation_unit %in% c("country", "nato", "ocde", "continent",
"region", "subregion", "region_wb", "type_income",
"type_economy")))
{
nm <- getNamesWR()
if(unit == aggregation_unit)
{
colnames(nm)[which(colnames(nm) == aggregation_unit)] <- colName
aggregation_unit <- colName
}else{
unit <- aggregation_unit
}
if(is.null(facets)| isTRUE(facets == aggregation_var))
{
out <- aggregate(x = out[,aggregation_var],
by = list(var = out[, aggregation_unit, drop = TRUE]), FUN = aggregation_fun)
colnames(out)[1] <- aggregation_unit
facets_join <- NULL
}else{
if(!any(facets %in% colnames(out)))
{
stop("facets name does not exit")
}
dt <- lapply(levels(factor(out[,facets, drop = TRUE])), function(x) aggregate(x = out[out[,facets, drop = TRUE]==x, aggregation_var],
by = list(var = out[out[,facets, drop = TRUE]==x,aggregation_unit, drop = TRUE],
var2 = out[out[,facets, drop = TRUE]==x,facets, drop = TRUE]),
FUN = aggregation_fun))
out <- do.call("rbind", dt)
class(out) <- c(class(out),"WR")
colnames(out)[1] <- aggregation_unit
if(any(facets %in% colnames(nm)))
{
facets <- paste(facets,"_facets", sep = "")
}
colnames(out)[2] <- facets
facets_join <- facets
}
out[,aggregation_unit] <- tolower(out[,aggregation_unit, drop = TRUE])
nm[,aggregation_unit] <- as.character(tolower(nm[,aggregation_unit, drop = TRUE]))
out[,aggregation_unit] = as.character(out[,aggregation_unit, drop = TRUE])
out <- suppressWarnings(left_join(out, nm,c(aggregation_unit, facets_join)))
}else{
if(is.null(facets)| isTRUE(facets == aggregation_var))
{
out <- aggregate(x = out[,aggregation_var],
by = list(var = out[, aggregation_unit, drop = TRUE]), FUN = aggregation_fun)
colnames(out)[1] <- aggregation_unit
}else{
out <- lapply(levels(factor(out[,facets, drop = TRUE])), function(x) aggregate(x = out[out[,facets, drop = TRUE]==x, aggregation_var],
by = list(var = out[out[,facets, drop = TRUE]==x,aggregation_unit, drop = TRUE],
var2 = out[out[,facets, drop = TRUE]==x,facets, drop = TRUE]),
FUN = aggregation_fun))
out <- do.call("rbind", dt)
colnames(out)[1] <- aggregation_unit
colnames(out)[2] <- facets
}
}
colID <- aggregation_unit
colName <- aggregation_unit
}else{
if(isFALSE(show_wr))
{
out <- out[out[,colName, drop = TRUE] %in% data[,colName],]
}else{
out <- suppressMessages(left_join(coord, out[,-ncol(out), drop = TRUE]))
}
}
class(out) <- c(class(out),"WR")
attributes(out)$unit <- unit
attributes(out)$colID <- colName
return(out)
}
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