#' @title Construct a spatial file of type KML or GeoJSON and create metadata
#' of type spatial vector
#'
#' @description create_vector writes a spatial data file of type KML and
#' generates corresponding metadata of EML entity of type spatialVector
#'
#' @details create_vector creates a EML spatialVector object from a spatial
#' data object that is read into or created within the R environment. If
#' present, the function reads attribute and factor metadata from supporting
#' yaml file(s) generated from the capeml::write_attributes() and
#' capeml::write_factors() functions - create_vector will look for files in the
#' working directory with a name of type "entity name"_attrs.yaml (or "entity
#' name"_attrs.csv if an older project) for attribute metadata, and "entity
#' name"_factors.yaml (or "entity name"_factors.csv if an older project) for
#' factor metadata. Note that this functionality is predicated on the existence
#' of a file containing metadata about the attributes, that that file is in the
#' working directory, and that the file matches the name of the spatial data
#' entity precisely.
#'
#' @note If project naming is TRUE then create_vector will look for a package
#' number (packageNum (deprecated) or identifier) in config.yaml; this
#' parameter is not passed to the function and it must exist.
#' @note All vector objects are transformed to epsg 4326 (WGS 1984)
#'
#' @param vector_name
#' (character) The quoted or unquoted name of the spatial data object in the R
#' environment.
#' @param description
#' (character) Quoted description of the vector resource.
#' @param driver
#' (character) Quoted format of output file: KML or GeoJSON (default).
#' @param geoDescription
#' (character) A textual description of the geographic study area of the
#' vector. This parameter allows the user to overwrite the geographicDesciption
#' value provided in the project config.yaml.
#' @param overwrite
#' (logical) A logical indicating whether to overwrite an existing file bearing
#' the same name as the file to be written.
#' @param projectNaming
#' (logical) Logical indicating if the resulting file should be renamed per the
#' style used in the capeml ecosystem with the project id + base file name +
#' file extension. If set to FALSE, the resulting file will bear the name the
#' object is assigned in the R environment with the appropriate file extension.
#' @param missing_value_code
#' (character) Quoted character(s) of a flag, in addition to NA or NaN, used to
#' indicate missing values within the data.
#'
#' @import EML
#' @importFrom sf st_transform st_write
#' @importFrom yaml yaml.load_file
#' @importFrom tools md5sum
#' @importFrom capeml read_attributes read_package_configuration
#' @importFrom stringr str_extract
#' @importFrom rlang is_expression get_expr
#'
#' @return EML spatialVector object is returned. Additionally, the spatial data
#' entity is written to file as type kml or GeoJSON.
#'
#' @examples
#' \dontrun{
#'
#' # load spatial vector object; because create_vector will generate a new kml or GeoJSON file, we
#' # have complete flexibility over the resulting file name and manipulating
#' # the data - here we are starting with an existing shapefile named CORETT but
#' # will generate a kml with the name ejido_titles_points_of_decree
#'
#' ejido_titles_points_of_decree <- sf::read_sf(
#' dsn = "data/Regularizacion/ejidal",
#' layer = "CORETT"
#' ) %>%
#' select(
#' -OBJECTID_1,
#' -FolderNumb,
#' -Surface
#' ) %>%
#' mutate(
#' Id = as.character(Id),
#' across(where(is.character), ~ gsub(pattern = "\\r\\n", replacement = "", x = .)),
#' across(where(is.character), ~ gsub(pattern = "--", replacement = NA_character_, x = .)),
#' Year = as.character(Year)
#' )
#'
#' # write attributes (and factors if relevant)
#'
#' try(write_attributes(ejido_titles_points_of_decree, overwrite = FALSE))
#'
#' # generate a description for the data entity
#'
#' ejido_titles_points_of_decree_desc <- "polygons of land regularized by the
#' National Agency, CORETT; polygons were georeferenced from 281 paper maps,
#' consolidated into 87 unique regularization degrees of ejidos that became
#' privitzed from 1987-2007; includes the area of each polygon, the date of
#' regularization, the name of the ejido, the delegation, and the 'plane
#' number' that could be used to find the original map file in the CORETT
#' office; it only includes expropriation for the delegations Xochimilco,
#' Magdalena Contreras, Iztapalapa, Tlahuac, Gustavo Madero, Cuajimalpa, Alvaro
#' Obregon, Tlalpan, Coyoacan, and Milpa Alta"
#'
#' ejido_titles_points_of_decree_SV <- create_vector(
#' vector_name = ejido_titles_points_of_decree,
#' description = ejido_titles_points_of_decree_desc,
#' driver = "kml",
#' overwrite = TRUE,
#' projectNaming = TRUE
#' )
#'
#' # The resulting spatialVector entity can be added to a EML dataset
#'
#' }
#'
#' @export
#'
create_vector <- function(
vector_name,
description,
driver = "GeoJSON",
geoDescription = NULL,
overwrite = FALSE,
projectNaming = TRUE,
missing_value_code = NULL
) {
# get text reference of vector name for use throughout ----------------------
if (rlang::is_expression(vector_name)) {
namestr <- rlang::get_expr(vector_name)
} else {
namestr <- deparse(substitute(vector_name))
}
# required parameters -------------------------------------------------------
# do not proceed if a description is not provided
if (missing("description")) {
stop("please provide a description for the vector:", namestr)
}
# spatialVectors must have an attributes file
if (!file.exists(paste0(namestr, "_attrs.yaml"))) {
stop("attributes file not found for the vector:", namestr)
}
# driver-specific formatting ------------------------------------------------
if (grepl("geojson", driver, ignore.case = TRUE)) {
file_extension <- "geojson"
data_one_format <- "GeoJSON"
} else {
file_extension <- "kml"
data_one_format <- "Google Earth Keyhole Markup Language (KML)"
}
# load object from environment ----------------------------------------------
data_object <- get(namestr)
# ensure epsg4326 -----------------------------------------------------------
data_object <- sf::st_transform(
x = data_object,
crs = 4326
)
# retrieve dataset details from config.yaml
configurations <- capeml::read_package_configuration()
# project naming ------------------------------------------------------------
if (projectNaming == TRUE) {
project_name <- paste0(configurations$identifier, "_", namestr, ".", file_extension)
system(
paste0(
"mv ",
paste0(shQuote(namestr, type = "sh"), ".", file_extension),
" ",
shQuote(project_name, type = "sh")
)
)
} else {
project_name <- paste0(namestr, ".", file_extension)
}
# geographic coverage -------------------------------------------------------
if (missing("geoDescription") || is.null(geoDescription)) {
geoDescription <- configurations[["geographic_description"]]
message("project-level geographic description used for spatial entity ", namestr)
}
if (is.na(geoDescription) || is.null(geoDescription) || geoDescription == "") {
geoDescription <- NULL
stop("entity ", namestr," does not have a geographic description")
}
spatialCoverage <- EML::set_coverage(
geographicDescription = geoDescription,
westBoundingCoordinate = sf::st_bbox(data_object)[["xmin"]],
eastBoundingCoordinate = sf::st_bbox(data_object)[["xmax"]],
northBoundingCoordinate = sf::st_bbox(data_object)[["ymax"]],
southBoundingCoordinate = sf::st_bbox(data_object)[["ymin"]]
)
# write to file ----------------------------------------------------------------
if (file.exists(paste0(namestr, ".", file_extension)) && overwrite == FALSE) {
stop("file to be created (", paste0(namestr, ".", file_extension), ") already exists in working directory (set overwrite to TRUE)")
}
sf::st_write(
obj = data_object,
dsn = paste0(namestr, ".", file_extension),
driver = file_extension,
delete_layer = TRUE,
delete_dsn = TRUE
)
# attributes ---------------------------------------------------------------
attributes <- capeml::read_attributes(
entity_name = namestr,
missing_value_code = missing_value_code,
entity_id = tools::md5sum(project_name)
)[["eml"]]
# set physical ----------------------------------------------------------------
# distribution
fileURL <- configurations$fileURL
fileDistribution <- EML::eml$distribution(
EML::eml$online(url = paste0(fileURL, project_name))
)
spatialVectorPhysical <- EML::set_physical(
objectName = project_name,
url = paste0(fileURL, project_name)
)
# file format
fileDataFormat <- EML::eml$dataFormat(
externallyDefinedFormat = EML::eml$externallyDefinedFormat(
formatName = data_one_format
)
)
spatialVectorPhysical$dataFormat <- fileDataFormat
# create spatialVector entity ---------------------------------------------
newSV <- EML::eml$spatialVector(
entityName = project_name,
entityDescription = description,
physical = spatialVectorPhysical,
coverage = spatialCoverage,
attributeList = attributes,
geometricObjectCount = nrow(data_object),
id = project_name
)
# add geometry type -------------------------------------------------------
sfGeometry <- attr(data_object$geometry, "class")[[1]]
if (grepl("polygon", sfGeometry, ignore.case = TRUE)) {
objectGeometry <- "Polygon"
} else if (grepl("point", sfGeometry, ignore.case = TRUE)) {
objectGeometry <- "Point"
} else if (grepl("linestring", sfGeometry, ignore.case = TRUE)) {
objectGeometry <- "LineString"
} else {
stop(paste0("undetermined geometry: ", attr(data_object$geometry, "class")[[1]]))
}
newSV$geometry <- objectGeometry
# add spatial reference --------------------------------------------------
epsg4326 <- EML::eml$spatialReference(
horizCoordSysName = "GCS_WGS_1984"
)
newSV$spatialReference <- epsg4326
# closing message ---------------------------------------------------------
message("spatialVector ", project_name, " created")
# return ------------------------------------------------------------------
return(newSV)
} # close create_vector
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