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Utilities for calculating and comparing envelopes from geometries

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Envelope

Build Status Hex.pm

A library for calculating envelopes (axis-aligned bounding boxes) of geometries and tools to compare them. This is most useful as an approximation of spacial relationships between more complicated geometries.

Installation

defp deps do
  [{:envelope, "~> 1.1"}]
end

Usage

Full Documentation

The Envelope module provides a method from_geo that accepts a struct generated via the Geo library (https://github.com/bryanjos/geo) and returns an Envelope struct containing the maximum extent in the x and y direction.

Envelope.from_geo( %Geo.Polygon{coordinates: [[{2, -2}, {20, -2}, {11, 11}, {2, -2}]]} )
# => %Envelope{ min_x: 2, min_y: -2, max_x: 20, max_y: 11 }

env = %Envelope{min_x: -1, min_y: 2, max_x: 1, max_y: 5}
Envelope.expand(env, %Geo.Polygon{coordinates: [[{2, -2}, {20, -2}, {11, 11}, {2, -2}]]})
# => %Envelope{ min_x: -1, min_y: -2, max_x: 20, max_y: 11 }

Envelope.empty
|> Envelope.expand(%Envelope{ min_x: 0, min_y: -2, max_x: 12, max_y: 11 })
|> Envelope.
75F5
expand(%Geo.Polygon{coordinates: [[{2, -2}, {20, -2}, {11, 11}, {2, -2}]]})
|> Envelope.expand(%{type: "Point", coordinates: {-1, 3}})
# => %Envelope{ min_x: -1, min_y: -2, max_x: 20, max_y: 11 }

Envelopes can then be used to estimate spatial relationships between more complex shapes.

Envelope.intersects?(
  %Envelope{ min_x: -1, min_y: -5, max_x: 23, max_y: 14 },
  %Envelope{ min_x: 0, min_y: 3, max_x: 7, max_y: 4 })
# => true

Envelope.contains?(
  %Envelope{ min_x: -1, min_y: 5, max_x: 23, max_y: 14 },
  %{type: "Point", coordinates: {0, 4}})
# => false

Applicaiton

In the context of a larger Geometry/GIS application, Envelopes can be used to drastically decrease processing overhead for comparing two geometries that are likely to be disjoint. For example, determining whether a point enters a complex geofence or finding shape collisions among a large number of spread out polygons.

This is based on the fact that Geometries (Polygon, LineString, MultiPolgyon, etc.) with disjoint Envelopes will be disjoint. Said another way, Geometries will intersect if and only if their Envelopes intersect.

Depending on the unique environment and use case, it will be more efficient to calculate Envelopes on the fly or calculate the Envelope and cache it. Many databases will do an bounding-box check internally, but for those that don't, storing the extents along each axis and preforming a range change before pulling a large geometry from the database will greatly improve performance.

For example, using Topo as and underlying geometry library:

def intersect?(poly1, poly2) do
  # calculate the envelope or (better yet) pull it from cache
  poly1_env = Envelope.from_geo(poly1)
  poly2_env = Envelope.from_geo(poly2)

  case Envelope.intersects?(poly1_env, poly2_env) do
    true -> # envelopes intersect, so let's check the polygons directly
      Topo.intersects?(poly1, poly2)
    false -> # envelopes don't intersect, so no reason to check the polygon intersection
      false
  end
end

or more concisely

Envelope.intersects?(Envelope.from_geo(poly1), Envelope.from_geo(poly2)) && Topo.intersects?(poly1, poly2)

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