How to display polygons that are within a specific range (circle) using Leaflet - mongodb

I am trying find a solution on how to display polygons that are only within a specific range, a circle with radius using leaflet.
Polygons screenshots
Before, I have ask for help regarding on the display of points within a specific range but this time, since a polygon have many nodes/coordinates, i don't have any idea of how it can be done for polygons; a foreach statement?
Any solution? Thanks for the help!
Similar problem solved for displaying points within a specific range

Since you're using MongoDB, the best solution here is (if that's possible), to handle this in the database. Put 2dsphere indexes on your document's loc field and use a $geoWithin query in combination with $centerSphere:
The following example queries grid coordinates and returns all documents within a 10 mile radius of longitude 88 W and latitude 30 N. The query converts the distance to radians by dividing by the approximate radius of the earth, 3959 miles:
db.places.find( {
loc: { $geoWithin: { $centerSphere: [ [ -88, 30 ], 10/3959 ] } }
} )
2dsphere reference: http://docs.mongodb.org/manual/core/2dsphere/
$geoWithin reference: http://docs.mongodb.org/manual/reference/operator/query/geoWithin/
$centerSphere reference: http://docs.mongodb.org/manual/reference/operator/query/centerSphere/
If you really want to do this clientside (which i absolutely wouldn't recommend) and you don't want to build your on solution (which is possible) you could take a look at GeoScript.
GeoScript's geom.Geometry() class has a contains method:
Tests if this geometry contains the other geometry (without boundaries touching).
Geom.geometry reference: http://geoscript.org/js/api/geom/geometry.html
EDIT: Here's the pure JS/Leaflet solution as requested in the comments, this is quick-n-dirty, but it should work. Here the containsPolygon method returns true when all of the polygon's points are within the circle:
L.Circle.include({
'containsPoint': function (latLng) {
return this.getLatLng().distanceTo(latLng) < this.getRadius();
},
'containsPolygon': function (polygon) {
var results = [];
polygon.getLatLngs().forEach(function (latLng) {
results.push(this.containsPoint(latLng));
}, this);
return (results.indexOf(false) === -1);
}
});
Here's a working example: http://plnkr.co/edit/JlFToy?p=preview
If you want to return true if one or more of the polygon's points are within the circle than you must change the return statement to this:
return (results.indexOf(true) !== -1);

Related

Mapbox heatmap by point value

There is an example of the heatmap https://www.mapbox.com/mapbox-gl-js/example/heatmap/ by the number of markers/points on the area. But is there a way to display a heatmap by average pins/markers values? For example if I have 5 pins and their average prop value speed=3 then it will be shown as green cluster/heatmap and if their av. prop val is 6 then it will be red cluster/heatmap.
I found that "clusterAggregates" property can help, but can't find any example of using it.
Thanks
I'll leave my way to do so. Old question, which is sometimes risen, but there are no nice sollution, so... Turf's hexgrid (http://turfjs.org/docs/#hexGrid) can help:
const hexagons = hexGrid(bbox, size);
const collection = // collection of your points;
const hexagonsWithin = collect(hexagons, collection, "propertyToAgretateFrom", "propertyToAggregateIn");
const notEmptyHexagonValues = hexagonsWithin.features.filter(({ properties }) => properties.propertyToAggregateIn.length !== 0);
const notEmptyHexagons = {
"type": "FeatureCollection",
"features": notEmptyHexagonValues,
};
// at this point you're having not empty hexagons as a geojson, which you can add to the map
collect is another method from turf, whatcollection should be you can look up in the docs, because it's changing a lot.
The general idea behind is to "divide" visible part of map (bbox) into hexagons by hexGrid method and and aggregate some properties that you need from every marker inside of every hexagon you'll have into the array, so you can get an average value, for example. And assign a color based on it.
Let's say we have feature.properties.propertyToAgretateFrom as 4 and 5 in two markers. After the aggregation, if these markers were inside one polygon, you'll have it feature.properties.propertyToAggregateIn: [4, 5] - this feature is polygon. From this on you can do pretty much everything you want.

Mongoid geonear query with max distance not working properly

I am confused about the geonear query with mongoid. It seems that I am missing something and when I m trying to query for points near the given coordinates with max distance 200 meters form my controller with the following:
Coord.geo_near([params[:lon].to_i, params[:lat].to_i]).max_distance(200)
I get all the points that are available in the collection in the same order for every set of coords that i provide.
My model:
class Coord
include Mongoid::Document
include Mongoid::Geospatial
field :Message, :type => String
field :location, type: Point, spatial: true
end
I have created the 2dsphere index from mongo console:
db.coords.createIndex( { location : "2dsphere" } )
I have also tried instead of 200 meters to provide 0.2/111.2 in the case that the max_distance works with degrees but in this case I m not getting any results.
Use Earth radius
To search in 10km radius:
Coord.geo_near([params[:lon].to_f, params[:lat].to_f]).max_distance(10.fdiv(6_371))

How to get all circles that a Point is contained in?

Is there a way to find out what polygons (specifically circles) a specific Point lies in?
In this case I would have stored a documents containing circles, like below, I would pass in a latitude and longitude for a point, and would like to get back all documents where the point is within the given circle.
{
"_id" : ObjectId("53e3e85ce4b0c2e8227a1dad"),
"name" : "Menlo College",
"location" : [-122.1928, 37.45632],
"radius" : NumberLong(215),
},
{
"_id" : ObjectId("53e43d19e4b0aeabcb3d3f9d"),
"name" : "West Valley College",
"location" : [-122.01021194458008, 37.263226547586207],
"radius" : NumberLong(604),
}
If this is not possible, then is it at least possible with other GeoJSON shapes? Everything I've found so far indicates that the inverse is possible (find all points which like inside a circle), but nothing for this scenario.
Thanks
It is possible using MongoDB's $geoIntersects Geospatial query operator.
So, if you have a collection of GeoJson polygons and you want to find out all the polygons that intersect with your given point, then you need to run the following:
db.places.find( { <locationFieldOfYourDocuments> :
{ $geoIntersects :
{ $geometry :
{ type : "Point" ,
coordinates: [long, lat]
} } } } )
In the command above, loc is that attribute of each document that contains the coordinates for GeoJson polygon. Also, make sure that you have 2dsphere index over <locationFieldOfYourDocuments>.
Now, to get your original problem solved I will use a little bit of javascript. There may be better solutions but not in my knowledge.
Let's say all your circles are stored in Circles collection. I would query that collection and fetch each circle one by one and then perform an intersect with another collection that would contain a single point which would be the one you wanted to query if it intersects with the circles or not. So let the point be stored in SinglePoint collection.
The script would look like...
db.Intersections.remove({}); // emptying the output collection
var circleCursor = db.Circles.find();
while (circleCursor.hasNext()) {
var circle = circleCursor.next();
var coord = circle.location;
var radiusInRadians = circle.radius * conversionFactorForRadius;
var intersect = db.SinglePoint.find({loc :
{ $geoWithin :
{$centerSphere : [coord], radiusInRadians}
}});
if (intersect.hasNext()) {db.Intersections.add(circle)} // this will add all intersecting circles to Intersections collection
}
All you have to do is save this script in a file (myScript.js) and make a call:
mongo DBName pathTomyScript.js
This will store all the circles that intersect with your input point in the Intersects collection. All the above collections should be in DBName database.

Mongodb geolocation boundaries search/query

I have a documents contains list of location "boxes" (square area). Each box is represented by 2 points (bottom-left or south-west, top-right or north-east).
Document, for example:
{
locations: [
[[bottom,left],[top,right]],
[[bottom,left],[top,right]],
[[bottom,left],[top,right]]
]
}
I'm using 2d index for those boundaries points.
My input is a specific location point [x,y] and I want to fetch all documents that have at list one box that this point is located in it.
Is there any geospatial operator I can use to do that?
How do I write this query?
You can use the box operator, see:
http://docs.mongodb.org/manual/reference/operator/query/box/#op._S_box with the following example taken directly from that page:
db.places.find( { loc : { $geoWithin : { $box :
[ [ 0 , 0 ] ,
[ 100 , 100 ] ] } } } )
It is worth noting that the 2d index is considered legacy. If you can convert to using GeoJSON and a 2dsphere index, then you can use the $geoWithin operator: see
http://docs.mongodb.org/manual/reference/operator/query/geoWithin/#op._S_geoWithin
GeoJSON has a number of other benefits, not least of which, is that it is easily transmitted and digested by web mapping apps such as OpenLayers or Leaflet.

Appcelerator Titanium ACS Order place by nearest the user

I am trying to order at list by nearest place. This is working fine with this code:
Cloud.Places.query({
page: 1,
per_page: 20,
where: {
lnglat: { '$nearSphere': [latitudefast,longitudefast], }
},
order: {
lnglat: { '$nearSphere': [latitudefast,longitudefast], }
},
latitudefast and longitudefast is representing the actual position on the user. It has be defined before the query.
But it is "upside down", which means that the nearest place is in the bottom of the list, and the one farthest away is at the top of the list! How come? How do I order in reverse? Am i ordering wrong?
Thanks!
Have you tried not specifying the order? $nearSphere by default returns results sorted by distance.
From MongoDB's documentation (which ACS uses as its data store) describing $near:
The above query finds the closest points to (50,50) and returns them
sorted by distance (there is no need for an additional sort
parameter).
This applies to $nearSphere as well.
http://www.mongodb.org/display/DOCS/Geospatial+Indexing