Reassessing the diet of Upper Palaeolithic humans from Gough's Cave and Sun Hole,Cheddar Gorge,Somerset, UK

Richards et al. (2000) reconstructed the diet of the human remains found in Gough's and Sun Hole Cave through isotope analysis. They concluded that these people consumed an entirely terrestrial-based diet. Their reconstruction was based upon comparison of the results from human bones with those from a very small number of associated animals. The diets of the Gough's and Sun Hole Cave human were different from the other six Upper Palaeolithic humans from the British Isles for which dietary information has been obtained through isotope analysis. The work of Richards et al. (2000) suggests that they were the only ones for whom marine or freshwater resources did not play a significant role in their diets. We test this through further analyses of faunal remains from Gough's Cave, Sun Hole and other contemporary sites (Kent's Cavern, Aveline's Hole, Kendrick's Cave). Despite the limited faunal sample, the original palaeodietary reconstruction is broadly consistent with our findings. The isotope values of the main protein sources consumed by the humans from both sites are consistent with those of red deer and bovines, and, for a single individual, with that of horse and red deer. Reindeer was postulated in the original reconstruction as a potential food source, but this seems very unlikely based on our isotope reconstruction and the archaeological remains.     

Applying Measures of Spatial Autocorrelation: Computation and Simulation

Knowing about the challenges and opportunities of spatial autocorrelation is one thing, but applying the measures to one's own data is another matter entirely. While manual computation of the measures for toy data sets is possible, applying them to small data sets required the use of computers and thus software. This article will shed some light on how the measures were and are implemented in software and on implementation issues that are still not fully resolved.     

The Study of Local Public Economies: Multi‐organizational,Multi‐level Institutional Analysis and Development

One important extension of the IAD framework has been to the study of local public economies. These are multi‐organizational, multi‐level arrangements defined as the set of governmental jurisdictions, public and nonprofit agencies, and private firms that interact in various patterns to provide and produce public goods and services within a specific locality or region. Commonly, the localities or regions studied from this perspective have been U.S. metropolitan areas, often defined as a central city and its surrounding or adjoining county. Localities can be delineated, however, on various terms, and in the IAD framework, it is the geo‐physical nature of a locality that, in substantial part, drives the analysis. One of the strengths of the approach is its capacity to explain local variations in public organization as a function of the geo‐physical diversity of localities, while at the same time developing empirical generalizations and normative principles that apply across diverse regions. What, for example, might the organization and governance of a complex metropolitan area have in common with the organization and governance of a complex protected area, such as the greater Yellowstone eco‐region or the Adirondack Park? Construing both sorts of regions as local public economies can enhance our overall understanding of public organization at the same time that it permits a more nuanced understanding of diverse localities. Such work contributes to the ongoing IAD project of “understanding institutional diversity.”