#--------------------------------
# 'geonear' [ using 'aggregate' ]
query_geonear = list('$geoNear' =
list(near =
list(
type = "Point",
coordinates = c(-122.5, 37.1)),
distanceField = "distance",
maxDistance = 900 * 1609.34,
distanceMultiplier = 1 / 1609.34,
spherical = TRUE)
)
#------------------------------
# 'nearSphere' [ using 'find' ]
query_nearSphere = list('location' =
list('$nearSphere' =
list('$geometry' =
list(
type = 'Point',
coordinates = c(-122.5, 37.1)),
'$maxDistance' = 900 * 1609.34)
)
)
#------------------------------
# 'geoIntersects' [ using 'find' ]
query_geoIntersects = list('location' =
list('$geoIntersects' =
list('$geometry' =
list(
type = "Polygon",
coordinates = list(
list(
c(-109, 41),
c(-102, 41),
c(-102, 37),
c(-109, 37),
c(-109, 41)
)
)
)
)
)
)
#------------------------------
# 'geoWithin' [ using 'find' ]
query_geoWithin = list('location' =
list('$geoWithin' =
list('$geometry' =
list(
type = "Polygon",
coordinates = list(
list(
c(-109, 41),
c(-102, 41),
c(-102, 37),
c(-109, 37),
c(-109, 41)
)
)
)
)
)
)
#------------------------------
# 'geoWithin-centerSphere' [ using 'find' ]
query_geoWithin_sph = list('location' =
list('$geoWithin' =
list('$centerSphere' =
list(
c(-122.5, 37.7), 300 / 3963.2)
)
)
)
#============================================================= geoqueries based on bulk import : https://docs.mongodb.com/manual/tutorial/geospatial-tutorial/
#---------------neighborhoods
QUER = list('geometry' =
list('$geoIntersects' =
list('$geometry' =
list(
'type' = 'Point',
'coordinates' = c(-73.93414657, 40.82302903)
)
)
)
)
#---------------- restaurants - geowithin
rest_geowithin = list('location' =
list('$geoWithin' =
list('$centerSphere' =
list(
c(-73.93414657, 40.82302903 ), 5 / 3963.2 )
)
)
)
#--------------- restaurants - nearSphere
# returns all restaurants within five miles of the user in sorted order from nearest to farthest
QUER_nearsph = list('location' =
list('$nearSphere' =
list('$geometry' =
list(
'type' = 'Point',
'coordinates' =
c(-73.93414657, 40.82302903)),
'$maxDistance' = 5 * 1609.34)
)
)
#--------------------- https://docs.mongodb.com/manual/geospatial-queries/
NESTED = list(list('name' = "Central Park", 'location' = list('type' = "Point", 'coordinates' = c(-73.97, 40.77)), 'category' = "Parks"),
list('name' = "Sara D. Roosevelt Park", 'location' = list('type' = "Point", 'coordinates' = c(-73.9928, 40.7193)), 'category' = "Parks"),
list('name' = "Polo Grounds", 'location' = list('type' = "Point", 'coordinates' = c(-73.9375, 40.8303)), 'category' = "Stadiums"))
#--------------------- 'json_schema_validator' function
schema_dict = list("type" = "object",
"properties" = list(
"name" = list("type" = "string"),
"location" = list("type" = "object",
"properties" = list(
"type" = list("enum" = c("Point", "Polygon")), # in case that "type" is at the same time also a property name do not include "type" = "string" , https://github.com/epoberezkin/ajv/issues/137
#"type1" = list("type" = "string", "enum" = c("Point", "Polygon")),
"coordinates" = list("type" = "array")
))))
data_dict = list("name" = "Squaw Valley", "location" = list("type" = "Point", "coordinates" = c(-120.24, 39.21)))
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