Geographical Information Systems in Archaeology
(häftad)av James Conolly
- Format:
- Häftad (paperback)
- Utgiven:
- 2006-05-01
- Språk:
- Engelska
(Cambridge)
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Kundrecensioner
Recensioner i media
'There is no stone unturned here - the manual contains sections for nearly every conceivable use of GIS, and each chapter illustrates the whys and how-tos in clear language with plenty of illustrations and supporting charts...an invaluable tool for both the novice and the experienced professional who seeks a better understanding of this important research tool.' Dirt Brothers.org
' ... the book is well written, lavishly illustrated and attractively presented. The authors constantly demonstrate their considerable knowledge and skill in GIS, while making the technical, mathematical and computer issues easily comprehensible.' South African Archaeological Bulletin
(Cambridge)
Bloggat om Geographical Information Systems in Archaeology
Övrig information
James Conolly holds the Canada Research Chair in Archaeology at Trent University. His research interests include landscape archaeology, quantitative methods and the origins of early agriculture. He is co-editor (with Sue Colledge) of Early Neolithic Agriculture in South West Asia and Europe (forthcoming). Mark Lake is a lecturer at the Institute of Archaeology, University College London. His research interests include early prehistory and evolutionary archaeology. He is a contributor to Handbook of Archaeological Sciences (forthcoming) and a member of the editorial board of World Archaeology.
(Cambridge)
Innehållsförteckning
1. Introduction and theoretical issues in archaeological GIS; 2. First principles; 3. Putting GIS to work in archaeology; 4. The geodatabase; 5. Spatial data acquisition; 6. Building surface models; 7. Beginning exploratory data analysis; 8. Spatial analysis; 9. Map algebra, surface derivatives and spatial processes; 10. Regions: territories, catchments and viewsheds; 11. Routes: networks, cost paths and hydrology; 12. Maps and digital cartography; 13. Maintaining spatial data.
(Cambridge)