You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
cbwu fa6b6d00a4 新增通视分析函数;新增第三方库地理距离计算库Erkir,利用该库封装了两个距离函数. 2 years ago
..
README.md 新增通视分析函数;新增第三方库地理距离计算库Erkir,利用该库封装了两个距离函数. 2 years ago
cartesianpoint.h 新增通视分析函数;新增第三方库地理距离计算库Erkir,利用该库封装了两个距离函数. 2 years ago
coordinate.h 新增通视分析函数;新增第三方库地理距离计算库Erkir,利用该库封装了两个距离函数. 2 years ago
datum.h 新增通视分析函数;新增第三方库地理距离计算库Erkir,利用该库封装了两个距离函数. 2 years ago
ellipsoidalpoint.h 新增通视分析函数;新增第三方库地理距离计算库Erkir,利用该库封装了两个距离函数. 2 years ago
export.h 新增通视分析函数;新增第三方库地理距离计算库Erkir,利用该库封装了两个距离函数. 2 years ago
point.h 新增通视分析函数;新增第三方库地理距离计算库Erkir,利用该库封装了两个距离函数. 2 years ago
sphericalpoint.h 新增通视分析函数;新增第三方库地理距离计算库Erkir,利用该库封装了两个距离函数. 2 years ago
vector3d.h 新增通视分析函数;新增第三方库地理距离计算库Erkir,利用该库封装了两个距离函数. 2 years ago

README.md

Երկիր (Erkir) - a C++ library for geodesic and trigonometric calculations

Erkir (armenian: Երկիր, means Earth) - is inspired by and based on the great work of Chris Veness, the owner of the Geodesy functions project - provides a set of comprehensive API for geodesic and trigonometric calculations. I would call it a C++ port of JavaScript functions provided by the mentioned Chris Veness' project, however I designed the library to be more object oriented. Thus the code is organized a little bit differently, but the implementation itself is preserved.

Latest release Test (CMake) codecov

Prerequisites

There are no special requirements and dependencies except C++11 compliant compiler. The class is tested with gcc 4.8.4 and MSVC 15.x (Visual Studio 2017). The library is written with pure STL without any third party dependencies. For more details see the CI badges (GitHub Actions) above.

Installation

No installation required. Just incorporate header files from the include/ and source files from src/ directories in your project and compile them. All library classes are in erkir namespace.

Integration with CMake projects

However, if you use CMake and want to integrate the library into your project you might want to install it first by invoking a CMake command from the build directory:

cmake --install . --prefix=<install_path> --config=Release

Once the library is installed you can use it from in your project by adjusting its CMake script. For example:

[..]
find_package(erkir REQUIRED)

add_executable(example main.cpp)
target_link_libraries(example erkir)
[..]

The API

The code is virtually split into three domains (namespaces) that represent spherical and ellipsoidal geodetic coordinates and cartesian (x/y/z) for geocentric ones: erkir::spherical, erkir::ellipsoidal and erkir::cartesian correspondingly. Spherical Earth model based calculations are accurate enough for most cases, however in order to gain more precise measurements use erkir::ellipsoidal classes.

erkir::spherical::Point class implements geodetic point on the basis of a spherical earth (ignoring ellipsoidal effects). It uses formulae to calculate distances between two points (using haversine formula), initial bearing from a point, final bearing to a point, etc.

erkir::ellipsoidal::Point class represents geodetic point based on ellipsoidal earth model. It includes ellipsoid parameters and datums for different coordinate systems, and methods for converting between them and to Cartesian coordinates.

erkir::Vector3d implements 3-d vector manipulation routines. With this class you can perform basic operations with the vectors, such as calculate dot (scalar) product of two vectors, multiply vectors, add and subtract them.

erkir::cartesian::Point implements ECEF (earth-centered earth-fixed) geocentric cartesian (x/y/z) coordinates.

Usage Examples:

#include "sphericalpoint.h"
#include "ellipsoidalpoint.h"

int main(int argc, char **argv)
{
  // Calculate great-circle distance between two points.
  erkir::spherical::Point p1{ 52.205, 0.119 };
  erkir::spherical::Point p2{ 48.857, 2.351 };
  auto d = p1.distanceTo(p2); // 404.3 km

  // Get destination point by given distance (shortest) and bearing from start point.
  erkir::spherical::Point p3{ 51.4778, -0.0015 };
  auto dest = p3.destinationPoint(7794.0, 300.7); // 51.5135°N, 000.0983°W

  // Convert a point from one coordinates system to another.
  erkir::ellipsoidal::Point pWGS84(51.4778, -0.0016, ellipsoidal::Datum::Type::WGS84);
  auto pOSGB = pWGS84.toDatum(ellipsoidal::Datum::Type::OSGB36); // 51.4778°N, 000.0000°E

  // Convert to Cartesian coordinates.
  auto cartesian = pWGS84.toCartesianPoint();

  // Convert Cartesian point to a geodetic one.
  auto geoPoint = cartesian->toGeoPoint();

  return 0;
}

For more usage examples please refer to the unit tests at /test/test.cpp file.

Building and Testing

There are unit tests. You can find them in the test/ directory. To run them you have to build and run the test application. For doing that you must invoke the following commands from the terminal, assuming that compiler and environment are already configured:

Linux (gcc)

mkdir build && cd build
cmake .. -DCMAKE_BUILD_TYPE=Release -DENABLE_TESTING=True
cmake --build .
ctest

Windows (MSVC Toolchain)

mkdir build && cd build
cmake .. -DENABLE_TESTING=True -A x64
cmake --build . --config=Release
ctest -C Release

For x86 builds use -A Win32 option instead.

Performance Tests

I measured performance (on Intel Core i5 series processor) for some spherical geodesy functions (Point class). I used similar approach as Chris Veness did in his tests, i.e. called functions for 5000 random points or pairs of points. And here are my results:

Function Avg. time/calculation (nanoseconds)
Distance (haversine) 162
Initial bearing 190
Destination point 227

of course timings are machine dependent

See Also