relational.clustering: Relational Clustering

In fossil: Palaeoecological and Palaeogeographical Analysis Tools

Description

A method to cluter a number of samples using a relational (dissimila

Usage

relational.clustering(dist, clusters = 2)

Arguments

dist	pairwise distance matrix
clusters	number of clusters required

Details

This function will calculate the shortest distance (portion of a Great Circle) in kilometers between two points on the Earth given their latitude and longitude.

Value

Arc distance between two points on the Earth's surface in kilometers.

Note

The distance calculated may be up to 0.2% inaccurate, as this function treats the Earth as a sphere with a circumference of 40003 km, rather than an ellipsoid like it actually is.

Author(s)

Matthew Vavrek

References

The formulas for the Haversine distance function were taken from the Dr. Math website at http://mathforum.org/library/drmath/view/55417.html

See Also

To calculate pairwise distances between a list of points see earth.dist, or to calculate an area enclosed by three points on the Earth's surface, see earth.tri

Examples

##distance between 23 degrees N 54 degrees E and 32 degrees S 67 degrees E
deg.dist(23,54,-32,67)

Example output

Loading required package: sp
Loading required package: maps
Loading required package: shapefiles
Loading required package: foreign

Attaching package: 'shapefiles'

The following objects are masked from 'package:foreign':

    read.dbf, write.dbf

[1] 3201.619

fossil documentation built on March 23, 2020, 5:06 p.m.