Spatial Analysis in Archaeology (New Studies in Archaeology)

Hodder, Ian,Orton, Clive

ISBN 10: 0521297389 / ISBN 13: 9780521297387

Published by Cambridge University Press, 1979

About this Item

Paperback. NOT Ex-library. Good condition. Slight edgewear and bumping. Clean pages and tight binding. Previous owner's name inside. Until further notice, USPS Priority Mail only reliable option for Hawaii. Proceeds benefit the Pima County Public Library system, which serves Tucson and southern Arizona.

Seller Inventory # 529XQR000376

Bibliographic Details

• Title: Spatial Analysis in Archaeology (New Studies in Archaeology)
• Publisher: Cambridge University Press
• Publication Date: 1979
• Language: English
• ISBN 10: 0521297389
• ISBN 13: 9780521297387
• Binding: paperback
• Condition: Good

About this title

Synopsis

This 1976 text is a pioneering study in the applications to archaeology of modern statistical and quantitative techniques. The authors show how these techniques, when sensitively employed, can dramatically extend and refine the information presented in distribution maps and other analyses of spatial relationships. Techniques of interpretation 'by inspection' can now be made more powerful and rigorous; at the same time interest has turned from the examination of such sites and artefacts as 'things' to the spatial relationships between such things, their relationships to one another and to landscape features, soils and other resources. This book was the first to apply the available techniques systematically to the special problems and interests of archaeologists. It also demonstrates to geographers and other social scientists who may be familiar with analogous applications in their own fields the exciting interdisciplinary developments this facilitates, for example in studies of exchange networks, trade and settlement patterns, and cultural history.

Book Description

This 1976 text is a pioneering study in the applications to archaeology of modern statistical and quantitative techniques. The authors show how these techniques, when sensitively employed, can dramatically extend and refine the information presented in distribution maps and other analyses of spatial relationships.