Chapter 5. Mapping Spatial Data
Published Online: 18 APR 2008
DOI: 10.1002/9780470987605.ch5
Copyright © 2008 John Wiley & Sons, Ltd
Book Title

Statistical Data Analysis Explained: Applied Environmental Statistics with R
Additional Information
How to Cite
Reimann, C., Filzmoser, P., Garrett, R. G. and Dutter, R. (2008) Mapping Spatial Data, in Statistical Data Analysis Explained: Applied Environmental Statistics with R, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470987605.ch5
Publication History
- Published Online: 18 APR 2008
- Published Print: 4 APR 2008
ISBN Information
Print ISBN: 9780470985816
Online ISBN: 9780470987605
- Summary
- Chapter
Keywords:
- Geographical Information System (GIS) programs;
- mapping spatial data;
- geochemical mapping base map;
- geochemical data mapping using classes;
- geochemical mapping and choice of symbols;
- boxplot classes and EDA symbols;
- surface map construction - interpolation techniques or kriging;
- complex smoothing methods and polynomial functions;
- semivariogram estimation and kriging
Summary
This chapter contains sections titled:
Map coordinate systems (map projection)
Map scale
Choice of the base map for geochemical mapping
Mapping geochemical data with proportional dots
Mapping geochemical data using classes
Surface maps constructed with smoothing techniques
Surface maps constructed with kriging
Colour maps
Some common mistakes in geochemical mapping
Summary
