R/photo_search.R
In nfox29/photosearcher: Photo Searcher
Defines functions
photo_search
Documented in
photo_search
#'Search for photo metadata
#'
#'Returns image metadata for photos matching the search terms.
#'
#'Uses the flickr.photos.search API method from the Flickr API. This search
#'method requires a limiting factor to prevent parameterless searches - to
#'ensure this is met the function requires both a minimum and a maximum date
#'that searched photographs were taken on. See
#'\url{https://www.flickr.com/services/api/flickr.photos.search.html} for more
#'information on the API method.
#'
#'When running the function you need an API key saved as
#'photosearcher_key.sysdata in your working directory. If this is the first
#'function you run you will be prompted to create and enter your API key. The
#'API key will then be saved as photosearcher_key.sysdata in your working
#'directory and is used for all function.
#'
#'@param mindate_taken Character, or date required. Minimum taken date. Photos
#' with an taken date greater than or equal to this value will be returned. The
#' date should be in the form of "YYYY-MM-DD".
#'@param maxdate_taken Character, or date required. Maximum taken date. Photos
#' with an taken date less than or equal to this value will be returned. The
#' date should be in the form of "YYYY-MM-DD".
#'@param text Character, optional. A free text search. Photos who's title,
#' description or tags contain the text will be returned. You can exclude
#' results that match a term by prepending it with a - character. Free text
#' searches for words in order provided, for example a search for "climbing
#' rock" will be different to "rock climbing".
#'@param tags Character vector, optional. A comma-delimited list of tags. Photos
#' with one or more of the tags listed will be returned. You can exclude
#' results that match a term by prepending it with a - character.
#'@param tags_any Logical, optional. If TRUE, photos containing any of the tags
#' will be returned. If FALSE, only photos containing all tags will be
#' returned. Defaulted to return any tags.
#'@param bbox String, optional bounding box of search area provide as:
#' "minimum_longitude,minimum_latitude,maximum_longitude,maximum_latitude".
#'@param woe_id String, optional "where on earth identifier" can be supplied
#' instead of bbox. Use \code{\link{find_place}} to obtain woe_id for a place.
#'@param sf_layer A simple features layer, optional, area to search for photos,
#' can be supplied instead of a bbox or woeID.
#'@param has_geo Logical, optional parameter for whether returned photos need
#' associated spatial data.
#'@param mindate_uploaded Character or date, optional. Minimum upload date.
#' Photos with an upload date greater than or equal to this value will be
#' returned. The date can be in the form of a unix timestamp or mysql datetime.
#'@param maxdate_uploaded Character or date, optional. Maximum upload date.
#' Photos with an upload date less than or equal to this value will be
#' returned. The date can be in the form of a unix timestamp or mysql datetime.
#'@param user_id Character, optional. The Flickr ID of the user who's photo to
#' search. If this parameter isn't passed then everybody's public photos will
#' be searched.
#'
#'@return data.frame. Output consists of 57 variables including; latitude and
#' longitude of photograph, date and time it was taken, associated tags and
#' image urls.
#'
#' Full list of variables returned:
#'
#' \itemize{ \item id: photograph's unique id number \item owner: the unique id
#' of the Flickr user \item secret: photograph unique secret number \item
#' server: Flickr server data \item farm: Flickr server data \item title:
#' photograph title \item ispublic: whether photograph is public; 1 = yes, 0 =
#' no \item isfriend whether user is friend; 1 = yes, 0 = no \item isfamily
#' whether user is family; 1 = yes, 0 = no \item license: use licence of the
#' image see
#' \url{https://www.flickr.com/services/api/flickr.photos.licenses.getInfo.html}
#' for details \item datetaken: date and time of image capture \item
#' datetakengranularity: accuracy of image date see
#' \url{https://www.flickr.com/services/api/misc.dates.html} for more
#' information on dates \item datetakenunknown: whether date is unknown see
#' \url{https://www.flickr.com/services/api/misc.dates.html} for more
#' information on dates \item count_views: number of view the photograph has
#' had, \item count_comments: number of comments on the photograph \item
#' count_faves: number of times the photograph has been favourited \item tags:
#' user defined tags on the photograph \item latitude: latitude of where the
#' image was taken \item longitude: longitude of where the image was taken
#' \item accuracy: accuracy of spatial reference see
#' \url{https://www.flickr.com/services/api/flickr.photos.search.html } for
#' more information \item context: a numeric value representing the photo's
#' geotagginess beyond latitude and longitude
#' \url{https://www.flickr.com/services/api/flickr.photos.search.html } for
#' more information \item place_id: unique numeric number representing the
#' location of the photograph \item woeid: unique numeric number representing
#' the location of the photograph \item geo_is_family: whether only friends can
#' see geo; 1 = yes, 0 = no \item geo_is_friend: whether only family can see
#' geo; 1 = yes, 0 = no \item geo_is_contact: whether only contact can see geo;
#' 1 = yes, 0 = no \item geo_is_public whether geo is public; 1 = yes, 0 = no
#' \item url_sq: URL for square image \item height_sq: height for square image
#' \item width_sq: width for square image \item url_t: URL for square image
#' thumbnail image 100 on longest side \item height_t: height for thumbnail
#' image 100 on longest side, \item width_t: width for thumbnail image 100 on
#' longest side \item url_s: URL for small square image 75x75 \item height_s:
#' height for small square image 75x75 \item width_s: width for small square
#' image 75x75 \item url_q: URL for large square image 150x150 \item height_q:
#' height for large square image 150x150 \item width_q: width for large square
#' image 150x150 \item url_m: URL for small image 240 on longest side \item
#' height_m: height for small image 240 on longest side \item width_m: width
#' for small image 240 on longest side \item url_n: URL for small image 320 on
#' longest side \item height_n: height for small image 320 on longest side
#' \item width_n: width for small image 320 on longest side \item url_z: URL
#' for medium image 640 on longest side \item height_z: height for medium image
#' 640 on longest side \item width_z: width for medium image 640 on longest
#' side \item url_c: URL for medium image 800 on longest side \item height_c:
#' height for medium image 800 on longest side \item width_c: width for medium
#' image 800 on longest side \item url_l: URL for large image 1024 on longest
#' side \item height_l: height for large image 1024 on longest side \item
#' width_l: width for large image 1024 on longest side \item url_o: URL for
#' original image, either a jpg, gif or png, depending on source format \item
#' height_o: height for original image, either a jpg, gif or png, depending on
#' source format \item width_o: width for original image, either a jpg, gif or
#' png, depending on source format \item description: Flickr user generated
#' text description of the photograph}
#'
#'@family Search for images
#'
#'@export
#'
#' @examples
#' \dontrun{
#' photo_search(
#' mindate_taken = "2019-01-01",
#' maxdate_taken = "2019-01-02",
#' text = "tree",
#' bbox = "-13.623047,47.279229,3.251953,60.630102",
#' has_geo = TRUE
#' )
#'
#' photo_search(
#' mindate_taken = "2017-01-01",
#' maxdate_taken = "2017-01-02",
#' mindate_uploaded = "2017-03-04",
#' maxdate_uploaded = "2017-05-05",
#' tags = "lake"
#' )
#'
#' photo_search(
#' mindate_taken = "2018-01-01",
#' maxdate_taken = "2018-01-03",
#' tags = c("mountain", "lake"),
#' tags_any = TRUE
#' )
#'
#' photo_search(
#' mindate_taken = "2018-01-01",
#' maxdate_taken = "2018-01-03",
#' tags = c("mountain", "lake"),
#' tags_any = FALSE
#' )
#'
#' }
photo_search <-
function(mindate_taken = NULL,
maxdate_taken = NULL,
mindate_uploaded = NULL,
maxdate_uploaded = NULL,
user_id = NULL,
text = NULL,
tags = NULL,
tags_any = TRUE,
bbox = NULL,
woe_id = NULL,
sf_layer = NULL,
has_geo = TRUE) {
pics <- NULL
num_calls <- 0
# create dfs so large searches can be subset dynamically
date_df <- data.frame(mindate_taken = mindate_taken,
maxdate_taken = maxdate_taken)
# this checks for the presence of a key, if no key it prompts the user to
# create one, it then checks the validity of the key
api_key <- create_and_check_key()
# check that only one search location is given
if ((!is.null(bbox) & !is.null(woe_id)) |
(!is.null(sf_layer) & !is.null(woe_id)) |
(!is.null(bbox) & !is.null(sf_layer))) {
stop("Specify search location as only one of: woe_id, bbox or sf_layer.")
}
# change sf_layer to bbox
if (!is.null(sf_layer)) {
bbox <- create_bbox(sf_layer = sf_layer)
}
# check flickr location services work
if (!is.null(woe_id)) {
check_location(api_key = api_key)
}
#specify tag mode
if (isTRUE(tags_any)){
tags_any <- "any"
} else {
tags_any <- "all"
}
# start while loop - until all dates are looped through
while (nrow(date_df) > 0) {
# set search dates
mindate_taken <- as.POSIXct(date_df[1, "mindate_taken"])
maxdate_taken <- as.POSIXct(date_df[1, "maxdate_taken"])
#flickr seems to search 8 hours in advance of
mindate_taken <- mindate_taken - 28800
mindate_unix <- as.numeric(mindate_taken)
maxdate_unix <- as.numeric(maxdate_taken)
if (mindate_taken > maxdate_taken){
date_df <- date_df[-1, ]
} else {
base_url <- get_url(
mindate_taken = mindate_unix,
maxdate_taken = maxdate_unix,
mindate_uploaded = mindate_uploaded,
maxdate_uploaded = maxdate_uploaded,
user_id = user_id,
api_key = api_key,
page = 1,
text = text,
tags = tags,
tag_mode = tags_any,
bbox = bbox,
woe_id = woe_id,
has_geo = has_geo
)
photo_xml <- search_url(base_url = base_url)
#add to number of needed calls
num_calls <- num_calls + 1
find_errors(error_xml = photo_xml)
if (!is.null(photo_xml)) {
pages_data <- data.frame(
xml2::xml_attrs(xml2::xml_children(photo_xml)))
pages_data[] <- lapply(
pages_data, FUN = function(x) as.integer(as.character(x)))
total_pages <- pages_data["pages", ]
total <- pages_data["total", ]
if (total > 0 && total > 4000){
for (i in 1:16){
base_url <- get_url(
mindate_taken = mindate_unix,
maxdate_taken = maxdate_unix,
mindate_uploaded = mindate_uploaded,
maxdate_uploaded = maxdate_uploaded,
user_id = user_id,
api_key = api_key,
page = i,
text = text,
tags = tags,
tag_mode = tags_any,
bbox = bbox,
woe_id = woe_id,
has_geo = has_geo
)
photo_xml <- search_url(base_url = base_url)
#add to number of needed calls
num_calls <- num_calls + 1
if (!is.null(photo_xml)) {
photo_atts <- xml2::xml_find_all(
photo_xml, "//photo", ns = xml2::xml_ns(photo_xml))
tmp_df <- dplyr::bind_rows(lapply(
xml2::xml_attrs(photo_atts), function(x) data.frame(
as.list(x), stringsAsFactors = FALSE)))
#description is stored in seperate node
photo_atts2 <- xml2::xml_find_all(
photo_xml, "//description", ns = xml2::xml_ns(photo_xml))
descriptions <- NULL
for (i in 1:length(photo_atts2)){
tmp_df2 <- data.frame(description = paste(photo_atts2[i]))
descriptions <- rbind(descriptions, tmp_df2)
tmp_df2 <- NULL
}
descriptions$description <- gsub("<description>", "",
descriptions$description)
descriptions$description <- gsub("<description/>", "",
descriptions$description)
descriptions$description <- gsub("</description>", "",
descriptions$description)
#bind photos to descriptions
tmp_df <- cbind(tmp_df, descriptions)
pics <- dplyr::bind_rows(pics, tmp_df)
tmp_df <- NULL
}
}
# create dataframe with minmaxdate_takens
date_df <- rbind(
date_df[-1, ],
data.frame(mindate_taken = max(pics$datetaken),
maxdate_taken = maxdate_taken))
} else if (total > 0 && total < 4000){
for (i in 1:total_pages){
base_url <- get_url(
mindate_taken = mindate_unix,
maxdate_taken = maxdate_unix,
mindate_uploaded = mindate_uploaded,
maxdate_uploaded = maxdate_uploaded,
user_id = user_id,
api_key = api_key,
page = i,
text = text,
tags = tags,
tag_mode = tags_any,
bbox = bbox,
woe_id = woe_id,
has_geo = has_geo
)
photo_xml <- search_url(base_url = base_url)
#add to number of needed calls
num_calls <- num_calls + 1
if (!is.null(photo_xml)) {
photo_atts <- xml2::xml_find_all(
photo_xml, "//photo", ns = xml2::xml_ns(photo_xml))
tmp_df <- dplyr::bind_rows(lapply(
xml2::xml_attrs(photo_atts), function(x) data.frame(
as.list(x), stringsAsFactors = FALSE)))
#description is stored in seperate node
photo_atts2 <- xml2::xml_find_all(
photo_xml, "//description", ns = xml2::xml_ns(photo_xml))
descriptions <- NULL
for (i in 1:length(photo_atts2)){
tmp_df2 <- data.frame(description = paste(photo_atts2[i]))
descriptions <- rbind(descriptions, tmp_df2)
tmp_df2 <- NULL
}
descriptions$description <- gsub("<description>", "",
descriptions$description)
descriptions$description <- gsub("<description/>", "",
descriptions$description)
descriptions$description <- gsub("</description>", "",
descriptions$description)
#bind photos to descriptions
tmp_df <- cbind(tmp_df, descriptions)
pics <- dplyr::bind_rows(pics, tmp_df)
tmp_df <- NULL
}
}
# create dataframe with minmaxdate_takens
date_df <- date_df[-1, ]
} else {
date_df <- date_df[-1, ]
}
} else {
date_df <- date_df[-1, ]
}
}
}
if (is.null(pics)){
stop("No photographs meeting criteria")
}
# is using sf_layer clip results to layer
if (!is.null(sf_layer)) {
with_geom <- sf::st_as_sf(pics,
coords = c("longitude", "latitude"),
crs = 4326)
pics <- cbind(with_geom,
longitude = pics$longitude,
latitude = pics$latitude)
sf_layer <- sf::st_transform(
sf_layer, crs = "+proj=longlat +datum=WGS84 +no_defs")
pics$within <- sf::st_intersects(pics, sf_layer)
pics$within <- as.character(pics$within)
pics <- dplyr::filter(pics, pics$within != "integer(0)")
}
pics <- parse_pic(pics = pics)
pics <- dplyr::distinct(pics)
# end
return(pics)
}
nfox29/photosearcher documentation built on April 27, 2020, 10:34 p.m.
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Defines functions photo_search
Documented in photo_search
#'Search for photo metadata
#'
#'Returns image metadata for photos matching the search terms.
#'
#'Uses the flickr.photos.search API method from the Flickr API. This search
#'method requires a limiting factor to prevent parameterless searches - to
#'ensure this is met the function requires both a minimum and a maximum date
#'that searched photographs were taken on. See
#'\url{https://www.flickr.com/services/api/flickr.photos.search.html} for more
#'information on the API method.
#'
#'When running the function you need an API key saved as
#'photosearcher_key.sysdata in your working directory. If this is the first
#'function you run you will be prompted to create and enter your API key. The
#'API key will then be saved as photosearcher_key.sysdata in your working
#'directory and is used for all function.
#'
#'@param mindate_taken Character, or date required. Minimum taken date. Photos
#' with an taken date greater than or equal to this value will be returned. The
#' date should be in the form of "YYYY-MM-DD".
#'@param maxdate_taken Character, or date required. Maximum taken date. Photos
#' with an taken date less than or equal to this value will be returned. The
#' date should be in the form of "YYYY-MM-DD".
#'@param text Character, optional. A free text search. Photos who's title,
#' description or tags contain the text will be returned. You can exclude
#' results that match a term by prepending it with a - character. Free text
#' searches for words in order provided, for example a search for "climbing
#' rock" will be different to "rock climbing".
#'@param tags Character vector, optional. A comma-delimited list of tags. Photos
#' with one or more of the tags listed will be returned. You can exclude
#' results that match a term by prepending it with a - character.
#'@param tags_any Logical, optional. If TRUE, photos containing any of the tags
#' will be returned. If FALSE, only photos containing all tags will be
#' returned. Defaulted to return any tags.
#'@param bbox String, optional bounding box of search area provide as:
#' "minimum_longitude,minimum_latitude,maximum_longitude,maximum_latitude".
#'@param woe_id String, optional "where on earth identifier" can be supplied
#' instead of bbox. Use \code{\link{find_place}} to obtain woe_id for a place.
#'@param sf_layer A simple features layer, optional, area to search for photos,
#' can be supplied instead of a bbox or woeID.
#'@param has_geo Logical, optional parameter for whether returned photos need
#' associated spatial data.
#'@param mindate_uploaded Character or date, optional. Minimum upload date.
#' Photos with an upload date greater than or equal to this value will be
#' returned. The date can be in the form of a unix timestamp or mysql datetime.
#'@param maxdate_uploaded Character or date, optional. Maximum upload date.
#' Photos with an upload date less than or equal to this value will be
#' returned. The date can be in the form of a unix timestamp or mysql datetime.
#'@param user_id Character, optional. The Flickr ID of the user who's photo to
#' search. If this parameter isn't passed then everybody's public photos will
#' be searched.
#'
#'@return data.frame. Output consists of 57 variables including; latitude and
#' longitude of photograph, date and time it was taken, associated tags and
#' image urls.
#'
#' Full list of variables returned:
#'
#' \itemize{ \item id: photograph's unique id number \item owner: the unique id
#' of the Flickr user \item secret: photograph unique secret number \item
#' server: Flickr server data \item farm: Flickr server data \item title:
#' photograph title \item ispublic: whether photograph is public; 1 = yes, 0 =
#' no \item isfriend whether user is friend; 1 = yes, 0 = no \item isfamily
#' whether user is family; 1 = yes, 0 = no \item license: use licence of the
#' image see
#' \url{https://www.flickr.com/services/api/flickr.photos.licenses.getInfo.html}
#' for details \item datetaken: date and time of image capture \item
#' datetakengranularity: accuracy of image date see
#' \url{https://www.flickr.com/services/api/misc.dates.html} for more
#' information on dates \item datetakenunknown: whether date is unknown see
#' \url{https://www.flickr.com/services/api/misc.dates.html} for more
#' information on dates \item count_views: number of view the photograph has
#' had, \item count_comments: number of comments on the photograph \item
#' count_faves: number of times the photograph has been favourited \item tags:
#' user defined tags on the photograph \item latitude: latitude of where the
#' image was taken \item longitude: longitude of where the image was taken
#' \item accuracy: accuracy of spatial reference see
#' \url{https://www.flickr.com/services/api/flickr.photos.search.html } for
#' more information \item context: a numeric value representing the photo's
#' geotagginess beyond latitude and longitude
#' \url{https://www.flickr.com/services/api/flickr.photos.search.html } for
#' more information \item place_id: unique numeric number representing the
#' location of the photograph \item woeid: unique numeric number representing
#' the location of the photograph \item geo_is_family: whether only friends can
#' see geo; 1 = yes, 0 = no \item geo_is_friend: whether only family can see
#' geo; 1 = yes, 0 = no \item geo_is_contact: whether only contact can see geo;
#' 1 = yes, 0 = no \item geo_is_public whether geo is public; 1 = yes, 0 = no
#' \item url_sq: URL for square image \item height_sq: height for square image
#' \item width_sq: width for square image \item url_t: URL for square image
#' thumbnail image 100 on longest side \item height_t: height for thumbnail
#' image 100 on longest side, \item width_t: width for thumbnail image 100 on
#' longest side \item url_s: URL for small square image 75x75 \item height_s:
#' height for small square image 75x75 \item width_s: width for small square
#' image 75x75 \item url_q: URL for large square image 150x150 \item height_q:
#' height for large square image 150x150 \item width_q: width for large square
#' image 150x150 \item url_m: URL for small image 240 on longest side \item
#' height_m: height for small image 240 on longest side \item width_m: width
#' for small image 240 on longest side \item url_n: URL for small image 320 on
#' longest side \item height_n: height for small image 320 on longest side
#' \item width_n: width for small image 320 on longest side \item url_z: URL
#' for medium image 640 on longest side \item height_z: height for medium image
#' 640 on longest side \item width_z: width for medium image 640 on longest
#' side \item url_c: URL for medium image 800 on longest side \item height_c:
#' height for medium image 800 on longest side \item width_c: width for medium
#' image 800 on longest side \item url_l: URL for large image 1024 on longest
#' side \item height_l: height for large image 1024 on longest side \item
#' width_l: width for large image 1024 on longest side \item url_o: URL for
#' original image, either a jpg, gif or png, depending on source format \item
#' height_o: height for original image, either a jpg, gif or png, depending on
#' source format \item width_o: width for original image, either a jpg, gif or
#' png, depending on source format \item description: Flickr user generated
#' text description of the photograph}
#'
#'@family Search for images
#'
#'@export
#'
#' @examples
#' \dontrun{
#' photo_search(
#' mindate_taken = "2019-01-01",
#' maxdate_taken = "2019-01-02",
#' text = "tree",
#' bbox = "-13.623047,47.279229,3.251953,60.630102",
#' has_geo = TRUE
#' )
#'
#' photo_search(
#' mindate_taken = "2017-01-01",
#' maxdate_taken = "2017-01-02",
#' mindate_uploaded = "2017-03-04",
#' maxdate_uploaded = "2017-05-05",
#' tags = "lake"
#' )
#'
#' photo_search(
#' mindate_taken = "2018-01-01",
#' maxdate_taken = "2018-01-03",
#' tags = c("mountain", "lake"),
#' tags_any = TRUE
#' )
#'
#' photo_search(
#' mindate_taken = "2018-01-01",
#' maxdate_taken = "2018-01-03",
#' tags = c("mountain", "lake"),
#' tags_any = FALSE
#' )
#'
#' }
photo_search <-
function(mindate_taken = NULL,
maxdate_taken = NULL,
mindate_uploaded = NULL,
maxdate_uploaded = NULL,
user_id = NULL,
text = NULL,
tags = NULL,
tags_any = TRUE,
bbox = NULL,
woe_id = NULL,
sf_layer = NULL,
has_geo = TRUE) {
pics <- NULL
num_calls <- 0
# create dfs so large searches can be subset dynamically
date_df <- data.frame(mindate_taken = mindate_taken,
maxdate_taken = maxdate_taken)
# this checks for the presence of a key, if no key it prompts the user to
# create one, it then checks the validity of the key
api_key <- create_and_check_key()
# check that only one search location is given
if ((!is.null(bbox) & !is.null(woe_id)) |
(!is.null(sf_layer) & !is.null(woe_id)) |
(!is.null(bbox) & !is.null(sf_layer))) {
stop("Specify search location as only one of: woe_id, bbox or sf_layer.")
}
# change sf_layer to bbox
if (!is.null(sf_layer)) {
bbox <- create_bbox(sf_layer = sf_layer)
}
# check flickr location services work
if (!is.null(woe_id)) {
check_location(api_key = api_key)
}
#specify tag mode
if (isTRUE(tags_any)){
tags_any <- "any"
} else {
tags_any <- "all"
}
# start while loop - until all dates are looped through
while (nrow(date_df) > 0) {
# set search dates
mindate_taken <- as.POSIXct(date_df[1, "mindate_taken"])
maxdate_taken <- as.POSIXct(date_df[1, "maxdate_taken"])
#flickr seems to search 8 hours in advance of
mindate_taken <- mindate_taken - 28800
mindate_unix <- as.numeric(mindate_taken)
maxdate_unix <- as.numeric(maxdate_taken)
if (mindate_taken > maxdate_taken){
date_df <- date_df[-1, ]
} else {
base_url <- get_url(
mindate_taken = mindate_unix,
maxdate_taken = maxdate_unix,
mindate_uploaded = mindate_uploaded,
maxdate_uploaded = maxdate_uploaded,
user_id = user_id,
api_key = api_key,
page = 1,
text = text,
tags = tags,
tag_mode = tags_any,
bbox = bbox,
woe_id = woe_id,
has_geo = has_geo
)
photo_xml <- search_url(base_url = base_url)
#add to number of needed calls
num_calls <- num_calls + 1
find_errors(error_xml = photo_xml)
if (!is.null(photo_xml)) {
pages_data <- data.frame(
xml2::xml_attrs(xml2::xml_children(photo_xml)))
pages_data[] <- lapply(
pages_data, FUN = function(x) as.integer(as.character(x)))
total_pages <- pages_data["pages", ]
total <- pages_data["total", ]
if (total > 0 && total > 4000){
for (i in 1:16){
base_url <- get_url(
mindate_taken = mindate_unix,
maxdate_taken = maxdate_unix,
mindate_uploaded = mindate_uploaded,
maxdate_uploaded = maxdate_uploaded,
user_id = user_id,
api_key = api_key,
page = i,
text = text,
tags = tags,
tag_mode = tags_any,
bbox = bbox,
woe_id = woe_id,
has_geo = has_geo
)
photo_xml <- search_url(base_url = base_url)
#add to number of needed calls
num_calls <- num_calls + 1
if (!is.null(photo_xml)) {
photo_atts <- xml2::xml_find_all(
photo_xml, "//photo", ns = xml2::xml_ns(photo_xml))
tmp_df <- dplyr::bind_rows(lapply(
xml2::xml_attrs(photo_atts), function(x) data.frame(
as.list(x), stringsAsFactors = FALSE)))
#description is stored in seperate node
photo_atts2 <- xml2::xml_find_all(
photo_xml, "//description", ns = xml2::xml_ns(photo_xml))
descriptions <- NULL
for (i in 1:length(photo_atts2)){
tmp_df2 <- data.frame(description = paste(photo_atts2[i]))
descriptions <- rbind(descriptions, tmp_df2)
tmp_df2 <- NULL
}
descriptions$description <- gsub("<description>", "",
descriptions$description)
descriptions$description <- gsub("<description/>", "",
descriptions$description)
descriptions$description <- gsub("</description>", "",
descriptions$description)
#bind photos to descriptions
tmp_df <- cbind(tmp_df, descriptions)
pics <- dplyr::bind_rows(pics, tmp_df)
tmp_df <- NULL
}
}
# create dataframe with minmaxdate_takens
date_df <- rbind(
date_df[-1, ],
data.frame(mindate_taken = max(pics$datetaken),
maxdate_taken = maxdate_taken))
} else if (total > 0 && total < 4000){
for (i in 1:total_pages){
base_url <- get_url(
mindate_taken = mindate_unix,
maxdate_taken = maxdate_unix,
mindate_uploaded = mindate_uploaded,
maxdate_uploaded = maxdate_uploaded,
user_id = user_id,
api_key = api_key,
page = i,
text = text,
tags = tags,
tag_mode = tags_any,
bbox = bbox,
woe_id = woe_id,
has_geo = has_geo
)
photo_xml <- search_url(base_url = base_url)
#add to number of needed calls
num_calls <- num_calls + 1
if (!is.null(photo_xml)) {
photo_atts <- xml2::xml_find_all(
photo_xml, "//photo", ns = xml2::xml_ns(photo_xml))
tmp_df <- dplyr::bind_rows(lapply(
xml2::xml_attrs(photo_atts), function(x) data.frame(
as.list(x), stringsAsFactors = FALSE)))
#description is stored in seperate node
photo_atts2 <- xml2::xml_find_all(
photo_xml, "//description", ns = xml2::xml_ns(photo_xml))
descriptions <- NULL
for (i in 1:length(photo_atts2)){
tmp_df2 <- data.frame(description = paste(photo_atts2[i]))
descriptions <- rbind(descriptions, tmp_df2)
tmp_df2 <- NULL
}
descriptions$description <- gsub("<description>", "",
descriptions$description)
descriptions$description <- gsub("<description/>", "",
descriptions$description)
descriptions$description <- gsub("</description>", "",
descriptions$description)
#bind photos to descriptions
tmp_df <- cbind(tmp_df, descriptions)
pics <- dplyr::bind_rows(pics, tmp_df)
tmp_df <- NULL
}
}
# create dataframe with minmaxdate_takens
date_df <- date_df[-1, ]
} else {
date_df <- date_df[-1, ]
}
} else {
date_df <- date_df[-1, ]
}
}
}
if (is.null(pics)){
stop("No photographs meeting criteria")
}
# is using sf_layer clip results to layer
if (!is.null(sf_layer)) {
with_geom <- sf::st_as_sf(pics,
coords = c("longitude", "latitude"),
crs = 4326)
pics <- cbind(with_geom,
longitude = pics$longitude,
latitude = pics$latitude)
sf_layer <- sf::st_transform(
sf_layer, crs = "+proj=longlat +datum=WGS84 +no_defs")
pics$within <- sf::st_intersects(pics, sf_layer)
pics$within <- as.character(pics$within)
pics <- dplyr::filter(pics, pics$within != "integer(0)")
}
pics <- parse_pic(pics = pics)
pics <- dplyr::distinct(pics)
# end
return(pics)
}
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