Description
Book SynopsisEffective spatial analysis is an essential element of archaeological research; this book is a unique guide to choosing the appropriate technique, applying it correctly and understanding its implications both theoretically and practically.
Focusing upon the key techniques used in archaeological spatial analysis, this book provides the authoritative, yet accessible, methodological guide to the subject which has thus far been missing from the corpus. Each chapter tackles a specific technique or application area and follows a clear and coherent structure. First is a richly referenced introduction to the particular technique, followed by a detailed description of the methodology, then an archaeological case study to illustrate the application of the technique, and conclusions that point to the implications and potential of the technique within archaeology.
The book is designed to function as the main textbook for archaeological spatial analysis courses at undergraduate and
Trade Review
"[The book] will be a welcome addition to libraries and bookshelves in both academia and heritage practice." - Will Megarry, Journal of Irish Archaeology
Table of ContentsList of figures. List of tables. List of contributors. 1. Archaeology and spatial analysis. 2. Preparing archaeological data for spatial analysis. 3. Spatial sampling. 4. Spatial point patterns and processes. 5. Percolation analysis. 6. Geostatistics and spatial structure in archaeology. 7. Spatial interpolation. 8. Spatial applications of correlation and linear regression. 9. Non-stationarity and local spatial analysis. 10. Spatial fuzzy sets. 11. Spatial approaches to assignment. 12. Analysing regional environmental relationships. 13. Predictive spatial modelling. 14. Spatial agent-based modelling. 15. Spatial networks. 16. Space syntax methodology. 17. GIS-based visibility analysis. 18. Spatial analysis based on cost functions. 19. Processing and analysing satellite data. 20. Processing and analysing geophysical data. 21. Space and time. 22. Challenges in the analysis of geospatial ‘Big Data’. 23. The analytical role of 3D realistic computer graphics. 24. Spatial data visualisation and beyond. Index.
