ee_photos | R Documentation |
Search the photos methods in the ecoengine API.
ee_photos( page = NULL, state_province = NULL, county = NULL, genus = NULL, scientific_name = NULL, authors = NULL, remote_id = NULL, collection_code = NULL, source = NULL, min_date = NULL, max_date = NULL, related_type = NULL, related = NULL, page_size = 1000, quiet = FALSE, georeferenced = FALSE, progress = FALSE, other_catalog_numbers = NULL, foptions = list() )
page |
Page number |
state_province |
Need to describe these parameters |
county |
California counties. Package include a full list of counties. To load dataset |
genus |
genus name |
scientific_name |
scientific name |
authors |
author name |
remote_id |
remote id |
collection_code |
Type of collection. Can be |
source |
data source. See |
min_date |
Lower date bound. Most be in format Y-m-D h:m:s. This package uses lubridate's |
max_date |
upper date bound. Most be in format Y-m-D h:m:s. This package uses lubridate's |
related_type |
Need to describe these parameters |
related |
Need to describe these parameters |
page_size |
The number of observations per page returned by the query. The package default is |
quiet |
Default is |
georeferenced |
Default is |
progress |
Progress bar is set to |
other_catalog_numbers |
Need to describe these parameters |
foptions |
A list of additional arguments for |
related: ee_photos
california_counties
# Request all photos. This request will paginate. # merced <- ee_photos(county = "Merced County") ee_photos(page_size = 10) # Search by collection code. See notes above on options # ee_photos(collection_code = "CalAcademy") # ee_photos(collection_code = "VTM") # ee_photos(collection_code = "CalFlora") # ee_photos(collection_code = "CDFA") # Search by county. # sc_county <- ee_photos(county = "Santa Clara County") # merced <- ee_photos(county = "Merced County") # merced <- ee_photos(county = "Merced County", page = "all") # The package also contains a full list of counties data(california_counties) # alameda <- ee_photos(county = california_counties[1, 1]) # alameda$data # You can also get all the data for Alameda county with one request # alameda <- ee_photos(county = "Alameda county", page = "all") # Spidering through the rest of the counties can easily be automated. # Or by author # charles_results <- ee_photos(author = "Charles Webber", page = 1:2) # You can also request all pages in a single call by using ee_photos() # In this example below, there are 6 pages of results (52 result items). # Function will return all at once. # racoons <- ee_photos(scientific_name = "Procyon lotor", page = "all")
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