Archaeological Spatial Analysis

Mark Gillings is a Professor of Archaeology in the Department of Archaeology & Anthropology at Bournemouth University. His research interests concentrate upon the productive spaces that emerge through the integrated study of landscape, archaeological theory and digital archaeology, with a particular focus upon the potentials of all things geospatial and virtual. Much of his recent research has centred upon the prehistoric landscapes of south-western Britain, and the relationships that animated the complex, multi-scalar motleys of monumental structures and traces of everyday dwelling that characterise this region. Piraye Hacıgüzeller is a senior postdoctoral researcher at the Ghent Centre for Digital Humanities and the Archaeology Department of Ghent University. Her research interests are the theory and practice of digital archaeology and, more generally, digital humanities, specifically in the cases of geospatial data visualisation, management and analysis. She is the co-editor of a recent book on archaeological mapping, Re-mapping Archaeology: Critical Perspectives, Alternative Mappings (Routledge, 2018). Gary Lock is Emeritus Professor of Archaeology at the University of Oxford where he has spent 35 years teaching and researching several areas of archaeology. One of his specialisms is the British Iron Age, especially hillforts, and he was Co-PI of the Atlas of Hillforts of Britain and Ireland. His other main area of interest is computer applications in archaeology, especially GIS and spatial archaeology, in which he has published several books. He has recently retired as Chair of the Computer Applications in Archaeology conference.

List 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.