Internet Archaeol 1. Beardah and Baxter. Table of Contents

The Archaeological Use of Kernel Density Estimates

1 The background to this paper
- 1.1 Introduction
- 1.2 Why this paper?
- 1.3 Structure
2 Univariate KDEs - a non-technical introduction
- 2.1 The basic univariate KDE
- 2.2 Variations on the basic KDE
3 Examples of the use of univariate KDEs
- 3.1 Introduction to examples of univariate KDEs
- 3.2 Comparative use of univariate KDEs
- 3.3 Adaptive KDEs
- 3.4 Boundary KDEs
- 3.5 KDEs applied to processed data
4 Bivariate KDEs - a non-technical introduction
- 4.1 Basic ideas
- 4.2 Choice of window-width
- 4.3 Presentational issues
5 Examples of the use of bivariate KDEs
- 5.1 Introduction to examples of bivariate KDEs
- 5.2 The Mask Site data
- 5.3 Initial analysis of the Mask Site Data
- 5.4 Contouring using the Mask Site data
- 5.5 The Southampton Glass data
- 5.6 Bivariate KDEs of glass compositions
6 Trivariate KDEs
- 6.1 Introduction to trivariate KDEs
7 Choice of window-width
- 7.1 The window width
- 7.2 The normal scale rule
- 7.3 Subjective choice
- 7.4 DPI and STE rules
8 Computational considerations
- 8.1 Introduction
- 8.2 Downloadable software
- 8.3 Installing the software
- 8.4 Added functionality for advanced users
- 8.5 About the authors
9 Kernel Density Estimation Demonstrations - Help Sheet
- 9.1 kdedemo1 - The Univariate case
- 9.2 kdedemo2 - The Bivariate case
- 9.3 Importing your own data
Bibliography.