Approach to Trading Off Economic and Environmental Values in Industrial Land-Use Planning

Few contemporary issues have received as much sustained attention as the deterioration of the quality of our natural environment and, particularly, the need to manage the trade-off between economic growth and the quality of that environment. This paper discusses research currently under way to develop a land-use planning methodology that will help planners address the trade-offs between environmental quality and economic development. The methodology is used to evaluate the social, economic, and environmental impact of alternative land-use plans. The methodology consists of a regional analysis submodel and a site analysis submodel. The first component is based on an expanded input-output analysis incorporating land use, resource inputs, and waste-emission outputs. The second component is an empirical analysis based on the specific suitability and compatibility of proposed land-use development packages. The land-use planning model developed is applied to a case-study area centered on Charleston, South Carolina.     

COPPER AND COPPER ALLOYS IN ANCIENT TURKEY: SOME NEW ANALYSES

This note presents some new analyses for 13 early copper and bronze artefacts from Turkey in the Collection of the Ashmolean Museum, Oxford. They were not included in a small programme of early copper and bronze objects from Iraq, Syria and Palestine (Moorey and Schweizer 1972, Archaeometry 14 (2), 177–198) and conclude this pilot-project.     

On the Statistical Significance of the Observed Map in Spatial Diffusion

This paper examines the problem of determining the statistical significance of an observed spatial distribution vis-à-vis a simulated pattern of the “Hägerstrand type.” It is argued that the sampling distribution for a Hägerstrand type simulator is multinomial. The diffusion model considered is logically equivalent to a multinomial experiment with independent assignment of adoptions to areal cells according to a probability distribution that remains fixed for a given time interval. Conventional tests for goodness of multinomial fit are thus appropriate.