Point Pattern Settlement Analysis

Point pattern settlement analysis treats archaeological sites as points in space and uses spatial statistics to test whether their distribution is clustered, dispersed, or random. The motivating question is interpretive: clustering may signal social aggregation, defense, or attraction to localized resources, while regular spacing may reflect competition for territory or central-place organization. Ian Hodder and Clive Orton's 1976 Spatial Analysis in Archaeology imported nearest-neighbour statistics, quadrat methods, and related techniques from quantitative geography, giving archaeologists tools to compare observed site spacing against the expectation under complete spatial randomness. Conolly and Lake extend this into the GIS era with second-order methods such as Ripley's K and simulation-based significance testing, making point pattern analysis a standard part of settlement studies.