Rails Mongoid geo_near sort by distance - ruby-on-rails

Question

What I'm trying to do is to sort mongoid geo_near(or within_circle) max_distance results by distance because I don't know why but it doesn't do that by default.
I have mongoid_geospatial, mongoid_spacial and rgeo in my Rails gem file. I know mongoid_spacial has this ability but I could not use it and it caused problems with gmaps4rails.
I'm trying on mongoid_geospatial(which uses mongoid libraries) with no success and I could not find any resource except this one https://stackoverflow.com/questions/18633636/mongodb-aggregate-geonear-maxdistance but I don't know how to convert mongo that to mongoid.
Any one had an experience on sorting geo_near or within_circle in mongoid? Any help will be greatly appreciated.
The code in my Controller
searchterm = session[:categoryid].to_s
radius = session[:distance].to_f / 10
#places = Provider.all.where(:category.to_s => /.*#{searchterm}.*/)
.geo_near([ session[:latitude].to_f,session[:longitude].to_f ]).max_distance(radius)
##places = Provider.all.where(:category.to_s => /.*#{searchterm}.*/)
#.within_circle(location: [[ session[:latitude].to_f,session[:longitude].to_f ], radius ])
#.sort(:servicescore.desc).sort(:pricescore.desc)
The code in my model
include Mongoid::Document
include Mongoid::Timestamps
include Mongoid::Paranoia
include Mongoid::Geospatial
include Mongoid::MultiParameterAttributes
include Mongoid::Slug
include Mongoid::Spacial::Document
include Gmaps4rails::ActsAsGmappable
acts_as_gmappable :lat => 'latitude', :lon => 'longitude', :process_geocoding => true,
:check_process => :prevent_geocoding,
:address => "business_address"
field :location, :type => Point
spatial_index :location
field :officialname
field :business_description
field :category#, :type => Array
field :business_type
field :tax_office
field :tax_number
field :pin
field :business_phone
field :web_site
field :business_address
field :latitude
field :longitude
-------------------------------------------------------------------------------
-------------------------------------------------------------------------------
EDIT ON QUESTION
I've tried almost anything related without success. Read mongo and mongoid geo_near documentation. It does comment on storing location [lon, lat] order. I've tried both [lon, lat] and [lat, long] both when saving the provider and for the center location. Tried spherical geo_near and within_circle too. Still without success.
Geo_near returns my results incorrectly ordered as seen on the map above and on the list below. There should be something I'm missing but can't find it.
The red parts are the "geo_near_distance" output results, the list is sorted according to those but they are wrong as seen on the map. The green calculation is jquery code I've been using that returns correct distances(though cannot use in controller).
There should be something I'm missing. Can anyone spot that?
here is my latest code:
Provider.rb
field :location, :type => Array # [lat,lng]
index({ location: "2d" }, { min: -180, max: 180 })
spatial_index :location
Providers_controller
center = [session[:longitude].to_f, session[:latitude].to_f]
radious = 100
searchterm = session[:categoryid].to_s
radius = session[:distance].to_f / 10
#places = Provider.all.where(:category.to_s => /.*#{searchterm}.*/)
.geo_near(center).max_distance(radious)#.spherical
#.near(location: center)
#.within_circle( location: [center,radius] )
#.sort(:geo_near_distance.desc)
#.geo_near([ session[:latitude].to_f,session[:longitude].to_f ]).max_distance(100).spherical
#.unit("km")
#.geo_near([ session[:latitude].to_f,session[:longitude].to_f ], max_distance: radius, unit: "km".to_sym, spherical: true).sort_by!{|r| r.geo[:distance] }
#.geo_near([ session[:latitude].to_f,session[:longitude].to_f ]).max_distance(radius)
#.sort(:geo_near_distance)
JQuery for the green part
var p1 = new LatLon(Geo.parseDMS($('#lat1_{{id}}').val()), Geo.parseDMS($('#lon1_{{id}}').val()));
var p2 = new LatLon(Geo.parseDMS($('#lat2_{{id}}').val()), Geo.parseDMS($('#lon2_{{id}}').val()));
var new_number = parseFloat(p1.distanceTo(p2)).toFixed(2);
$('#result-distance_{{id}}').html(new_number+' km');
Data for Provider
{ "_id" : ObjectId("5295ef0fdd5063ce1600002a"), "workdonecount" : 0, "pricescore" : 0, "servicescore" : 0, "_slugs" : [ "5295ef0fdd5063ce1600002a-1" ], "officialname" : "çeşme", "business_description" : "dsadsa", "category" : "5280ad334b315241af406c79", "business_type" : "Ticari", "tax_office" : "dads", "tax_number" : "dss", "pin" : "", "business_address" : "Balçova/İzmir, Türkiye", "latitude" : 38.3692939, "longitude" : 27.093442, "pink" : false, "hizmetkutusu_verified" : false, "user_id" : ObjectId("52946f54dd50636df6000002"), "location" : [ 27.093441999999982, 38.3692939 ], "gmaps" : true, "updated_at" : ISODate("2013-11-27T13:09:36.214Z"), "created_at" : ISODate("2013-11-27T13:09:36.214Z") }
{ "_id" : ObjectId("5295f248dd5063ce16000030"), "workdonecount" : 0, "pricescore" : 0, "servicescore" : 0, "_slugs" : [ "5295f248dd5063ce16000030-1" ], "officialname" : "izmirdsads", "business_description" : "dsdsadsdsa", "category" : "5280ad334b315241af406c79", "business_type" : "Ticari", "tax_office" : "dasds", "tax_number" : "dadsa", "pin" : "", "business_address" : "Çeşme, Türkiye", "latitude" : 38.32980999999999, "longitude" : 26.3149209, "pink" : false, "hizmetkutusu_verified" : false, "user_id" : ObjectId("52946f54dd50636df6000002"), "location" : [ 26.31492090000006, 38.32980999999999 ], "gmaps" : true, "updated_at" : ISODate("2013-11-27T13:23:20.423Z"), "created_at" : ISODate("2013-11-27T13:23:20.423Z") }
{ "_id" : ObjectId("5295f260dd5063ce16000032"), "workdonecount" : 0, "pricescore" : 0, "servicescore" : 0, "_slugs" : [ "5295f260dd5063ce16000032-1" ], "officialname" : "dsadsa", "business_description" : "dsadsa", "category" : "5280ad334b315241af406c79", "business_type" : "Ticari", "tax_office" : "dsadsa", "tax_number" : "dsads", "pin" : "", "business_address" : "Çiğli, 35580 İzmir, Türkiye", "latitude" : 38.496303, "longitude" : 27.0603911, "pink" : false, "hizmetkutusu_verified" : false, "user_id" : ObjectId("52946f54dd50636df6000002"), "location" : [ 27.06039110000006, 38.496303 ], "gmaps" : true, "provider_image" : "gmaps1.jpg", "updated_at" : ISODate("2013-11-27T13:23:44.686Z"), "created_at" : ISODate("2013-11-27T13:23:44.686Z") }
{ "_id" : ObjectId("5295eee3dd5063ce16000026"), "workdonecount" : 0, "pricescore" : 0, "servicescore" : 0, "_slugs" : [ "5295eee3dd5063ce16000026-1" ], "officialname" : "dsdsa", "business_description" : "dadsa", "category" : "5280ad334b315241af406c79", "business_type" : "Ticari", "tax_office" : "dsa", "tax_number" : "dads", "pin" : "", "business_address" : "Buca, İzmir, Türkiye", "latitude" : 38.38813400000001, "longitude" : 27.1753358, "pink" : false, "hizmetkutusu_verified" : false, "user_id" : ObjectId("52946f54dd50636df6000002"), "location" : [ 27.291124800000034, 38.3337361 ], "gmaps" : true, "updated_at" : ISODate("2013-11-27T13:08:51.544Z"), "created_at" : ISODate("2013-11-27T13:08:51.544Z") }
{ "_id" : ObjectId("5295eef5dd5063ce16000028"), "workdonecount" : 0, "pricescore" : 0, "servicescore" : 0, "_slugs" : [ "5295eef5dd5063ce16000028-1" ], "officialname" : "dsdsdsa", "business_description" : "dadsds", "category" : "5280ad334b315241af406c79", "business_type" : "Ticari", "tax_office" : "dasds", "tax_number" : "dadsa", "pin" : "", "business_address" : "Bornova, 35100 İzmir, Türkiye", "latitude" : 38.466414, "longitude" : 27.2192191, "pink" : false, "hizmetkutusu_verified" : false, "user_id" : ObjectId("52946f54dd50636df6000002"), "location" : [ 27.219219100000032, 38.466414 ], "gmaps" : true, "updated_at" : ISODate("2013-11-27T13:09:10.122Z"), "created_at" : ISODate("2013-11-27T13:09:10.122Z") }

Answer 1

I used it few months ago. This is how I used it:
class Person
include Mongoid::Document
field :location, :type => Array # [lat,lng]
index( { location: Mongo::GEO2D }, { min: -180, max: 180 })
end
Then you need to generate indexes:
rake db:mongoid:create_indexes
Then you can make the query:
center = [ 1, 10 ]
radious = 100
Person.within_circle( location: [ center, radious ] )
Or use $near query:
Person.geo_near(center).max_distance(radious) # sorted by distance
All information is specified here:
http://mongoid.org/en/mongoid/docs/indexing.html
http://mongoid.org/en/origin/docs/selection.html
http://mongoid.org/en/mongoid/docs/querying.html#geo_near
Good luck!