X-ray fluorescence analysis and intra-island exchange in the Society Island archipelago (Central Eastern Polynesia)

We apply X-ray fluorescence (XRF) geochemical analysis to a collection of 'Opunohu Valley lithic artifacts from Mo'orea island to investigate the local scale of raw material procurement, adze production, use, and exchange within the Society Island archipelago. We use these data to document the distribution of non-local versus local volcanic artifacts in 'Opunohu Valley house sites, ritual sites, and specialized sites, as a means for establishing intra-site production and consumption patterns, and access to exotic, possibly superior, stone resources, and how these two themes correlate with site function or household wealth and status. Overall, 30% of the artifacts analyzed via WDXRF derive from non-local sources, notably two other islands in the archipelago outside of the political boundaries of Moorean chiefdoms. Our case study thus provides the first direct material evidence of intra-archipelago trade and exchange in the Society Islands. Intra-archipelago trade in adzes was certainly in place by as early as A.D. 1350, if not earlier, and continued up until the time of European contact. In addition, our analyses have identified a local adze production locale in the Afareaitu district of Mo'orea island. The patterns of local versus non-local adze production and exchange strongly suggest that dual interaction spheres were involved. The correlation between adzes and adze-related debris produced from off-island sources and sites with specialized use, which were often reserved for the social, ritual, and political elites in Ma'ohi society suggests that some of the exotic adzes derived from gift exchange between Mo'orea and ruling elites in Tahiti and the Leeward Islands. These adzes from afar would have solidified socio-political and ideological alliances between elites in the Windward and Leeward sectors of the archipelago.     

SPATIAL DISPERSION OF TECHNOLOGICAL INNOVATION: A CASE STUDY FOR THE NETHERLANDS BY MEANS OF PARTIAL LEAST SQUARES*

ABSTRACT. In this paper the impact of spatial and nonspatial variables on the innovation potential and innovativeness of (small) industrial firms in The Netherlands will be analyzed. Innovation potential and innovativeness will be conceived as latent variables which will be measured by a partial least squares approach. The variables reflecting innovation potential are notably input variables such as internal and external R&D, while innovativeness will be based on output indicators such as the number of product and process innovations. The regional dimension enters our analysis essentially at two levels. First, we will investigate whether more innovative firms are to some extent spatially biased (i.e., on the basis of intrafirm characteristics). Secondly, we will analyze the relevance of an indigenous regional impact, per se. In other words, we will examine whether firms with an equal innovation capacity will differ in actual (i.e., realized) innovativeness as a consequence of different regional conditions. For the first issue, our results indicate that not all regions are equally well-endowed with potentially innovative (small) firms. Our analysis even demonstrates that these firms are underrepresented in regions which are generally considered to offer the most favorable production environment. After compensating for these differences in the composition of the regional set of firms, we demonstrate that an indigenous regional impact per se cannot be identified in The Netherlands.     

Variations in the Spatial Pattern of Settlement Locations: An Analysis Based on Proportional Hazards Models

Models based on hazard functions are used to analyze spatial trends in the distance intervals separating point locations. The proportional hazards model, which has been widely applied to analyze intervals of time, is used to investigate variation in the spacing of settlements in Nebraska. This model allows spatial trends in the intervals between settlements to be investigated under very general conditions regarding the interdependence of settlement locations and permits the coordinate locations of the intervals to be treated as spatially varying covariates. An empirical analysis reveals an East-West trend in the spacing of settlements.