# Java Geocalc

Geocalc is a simple java library aimed at doing arithmetics with Earth coordinates. It is designed to be simple to embed in your existing applications and easy to use.

Geocalc can:

1. Calculate the distance between two coordinates (law of cosines, haversine and vincenty)
2. Find a point at X distance from a standpoint, given a bearing
3. Calculate coordinates of a rectangular area around a point
4. Determine whether a Point is contained within that area
5. Calculate the azimuth, initial and final bearings between two points (vincenty)

This library is being used on rentbarometer.com.

This library implements in Java lots of ideas from Movable-Type. Many thanks.

### Embed

``````<repositories>
<repository>
<id>jitpack.io</id>
<url>https://jitpack.io</url>
</repository>
</repositories>

<dependency>
<groupId>com.github.grumlimited</groupId>
<artifactId>geocalc</artifactId>
<version>0.6</version>
</dependency>``````

## API

can be found here:

grumlimited.co.uk/geocalc/0.6

## Usage

### Creating a Point

``````//Kew, London
Coordinate lat = Coordinate.fromDegrees(51.4843774);
Coordinate lng = Coordinate.fromDegrees(-0.2912044);
Point kew = Point.at(lat, lng);``````

### Converting between systems

Allows conversion of a coordinate between degrees, radians, D-M-s and GPS systems,

``````double radians = degreeCoordinate.toRadianCoordinate().radians;

double minutes = degreeCoordinate.toDMSCoordinate().minutes;
double seconds = degreeCoordinate.toDMSCoordinate().seconds;
double wholeDegrees = degreeCoordinate.toDMSCoordinate().wholeDegrees;

minutes = degreeCoordinate.toGPSCoordinate().minutes;
seconds = degreeCoordinate.toGPSCoordinate().seconds; // always 0
wholeDegrees = degreeCoordinate.toGPSCoordinate().wholeDegrees;``````

back and forth

``````Coordinate.fromDegrees(-46.5456)
.toDMSCoordinate()
.toGPSCoordinate()
.decimalDegrees // toGPSCoordinate() implied loss of precision``````

### Distance between 2 points

#### Spherical law of cosines

``````//Kew, London
Coordinate lat = Coordinate.fromDegrees(51.4843774);
Coordinate lng = Coordinate.fromDegrees(-0.2912044);
Point kew = Point.at(lat, lng);

//Richmond, London
lat = Coordinate.fromDegrees(51.4613418);
lng = Coordinate.fromDegrees(-0.3035466);
Point richmond = Point.at(lat, lng);

double distance = EarthCalc.gcd.distance(richmond, kew); //in meters``````

#### Haversine formula

``````//Kew, London
Coordinate lat = Coordinate.fromDegrees(51.4843774);
Coordinate lng = Coordinate.fromDegrees(-0.2912044);
Point kew = Point.at(lat, lng);

//Richmond, London
lat = Coordinate.fromDegrees(51.4613418);
lng = Coordinate.fromDegrees(-0.3035466);
Point richmond = Point.at(lat, lng);

double distance = EarthCalc.haversine.distance(richmond, kew); //in meters``````

#### Vincenty formula

``````//Kew, London
Coordinate lat = Coordinate.fromDegrees(51.4843774);
Coordinate lng = Coordinate.fromDegrees(-0.2912044);
Point kew = Point.at(lat, lng);

//Richmond, London
lat = Coordinate.fromDegrees(51.4613418);
lng = Coordinate.fromDegrees(-0.3035466);
Point richmond = Point.at(lat, lng);

double distance = EarthCalc.vincenty.distance(richmond, kew); //in meters``````

### Finding a point at 'distance in meters away' from a standpoint, given a bearing

`otherPoint` will be 1000m away from Kew

``````//Kew
Coordinate lat = Coordinate.fromDegrees(51.4843774);
Coordinate lng = Coordinate.fromDegrees(-0.2912044);
Point kew = Point.at(lat, lng);

//Distance away point, bearing is 45deg
Point otherPoint = EarthCalc.gcd.pointAt(kew, 45, 1000);``````

### BoundingArea

#### Calculating a rectangular area (BoundingArea) around a point

This is useful when, having a reference point, and a large set of other points, you need to figure out which ones are at most, say, 3000 meters away.

While this only gives an approximation, it is several order of magnitude faster than calculating the distances from each point in the set to the reference point.

``````  BoundingArea area = EarthCalc.gcd.boundingArea(kew, 3000);
Point nw = area.northWest;
Point se = area.southEast;``````

Now, given that rectangle delimited by 'nw' and 'se', you can determine which points in your set are within these boundaries.

#### Determining whether a Point is contained within a BoundingArea

Now say you have a BoundingArea,

``````  //somewhere in Europe, not sure where ;-)
Point northEast = Point.at(Coordinate.fromDegrees(70), Coordinate.fromDegrees(145));
Point southWest = Point.at(Coordinate.fromDegrees(50), Coordinate.fromDegrees(110));
BoundingArea boundingArea = BoundingArea.at(northEast, southWest);``````

you can determine whether a point is contained within that area using:

``````  Point point1 = Point.at(Coordinate.fromDegrees(60), Coordinate.fromDegrees(120));
assertTrue(boundingArea.contains(point1)); //true

Point point2 = Point.at(Coordinate.fromDegrees(45), Coordinate.fromDegrees(120));
assertFalse(boundingArea.contains(point2)); //false``````

### Bearing between two points

#### Azimuth bearing - great circle path

``````//Kew
Coordinate lat = Coordinate.fromDegrees(51.4843774);
Coordinate lng = Coordinate.fromDegrees(-0.2912044);
Point kew = Point.at(lat, lng);

//Richmond, London
lat = Coordinate.fromDegrees(51.4613418);
lng = Coordinate.fromDegrees(-0.3035466);
Point richmond = Point.at(lat, lng);

double bearing = EarthCalc.gcd.bearing(kew, richmond); //in decimal degrees``````

#### Azimuth bearing - Vincenty formula

``````//Kew
Coordinate lat = Coordinate.fromDegrees(51.4843774);
Coordinate lng = Coordinate.fromDegrees(-0.2912044);
Point kew = Point.at(lat, lng);

//Richmond, London
lat = Coordinate.fromDegrees(51.4613418);
lng = Coordinate.fromDegrees(-0.3035466);
Point richmond = Point.at(lat, lng);

double bearing = EarthCalc.vincenty.bearing(kew, richmond); //in decimal degrees``````

#### Final bearing - Vincenty formula

``````//Kew
Coordinate lat = Coordinate.fromDegrees(51.4843774);
Coordinate lng = Coordinate.fromDegrees(-0.2912044);
Point kew = Point.at(lat, lng);

//Richmond, London
lat = Coordinate.fromDegrees(51.4613418);
lng = Coordinate.fromDegrees(-0.3035466);
Point richmond = Point.at(lat, lng);

double bearing = EarthCalc.vincenty.finalBearing(kew, richmond); //in decimal degrees``````

#### Mid point - This is the half-way point along a great circle path between the two points.

``````//Kew
Point kew = Point.at(Coordinate.fromDegrees(51.4843774), Coordinate.fromDegrees(-0.2912044));

//Richmond, London
Point richmond = Point.at(Coordinate.fromDegrees(51.4613418), Coordinate.fromDegrees(-0.3035466));

Point midPoint = EarthCalc.gcd.midPoint(richmond, kew) // Point{latitude=51.47285976194266, longitude=-0.2973770580524634}``````

# Geocalc

## Helper classes to calculate Earth distances, bearing, etc.

### Geocalc Info

⭐ Stars 94
🔗 Source Code github.com
🕒 Last Update 2 months ago
🕒 Created 9 years ago
🐞 Open Issues 3
➗ Star-Issue Ratio 31
😎 Author grumlimited