# NOT RUN {
# vulpes <- ee_observations(genus = "vulpes")
# }
# NOT RUN {
# pinus <- ee_observations(scientific_name = "Pinus", page_size = 100)
# lynx_data <- ee_observations(genus = "Lynx")
# Georeferenced data only
# lynx_data <- ee_observations(genus = "Lynx", georeferenced = TRUE)
# animalia <- ee_observations(kingdom = "Animalia")
# Artemisia <- ee_observations(scientific_name = "Artemisia douglasiana")
# asteraceae <- ee_observationss(family = "asteraceae")
# vulpes <- ee_observations(genus = "vulpes")
# Anas <- ee_observations(scientific_name = "Anas cyanoptera", page = "all")
# loons <- ee_observations(scientific_name = "Gavia immer", page = "all")
# plantae <- ee_observations(kingdom = "plantae")
# chordata <- ee_observations(phylum = "chordata")
# Class is clss since the former is a reserved keyword in SQL.
# aves <- ee_observations(clss = "aves")
# You can also exclude fields using the exclude field
# aves <- ee_observations(clss = "aves", exclude = "remote_resource")
# aves <- ee_observations(clss = "aves", exclude = "source,remote_resource")
# or request additional fields using extra
# aves <- ee_observations(clss = "aves", extra = "kingdom,genus")
# aves <- ee_observations(clss = "aves", bbox = '-124,32,-114,42')
# aves <- ee_observations(clss = "aves", county = "Alameda county")
# }
Run the code above in your browser using DataLab