AGGREGATION ERROR EFFECTS ON THE DISCRETE-SPACE p-MEDIAN MODEL: THE CASE OF EDMONTON, CANADA

The spatial analysis literature recognizes three sources of aggregation error, termed Source A, Source B, and Source C, which affect models relying on distance measurements between populations and facilities. We consider these effects with respect to aggregating from census enumeration areas to census tracts, on a popular location model. We identify a further source of aggregation error, which we dub Source D error, arising from the representation of facility sites by discrete points. Source D effects are of the same magnitude as Source A and B combined, much greater than Source C effects. Source D error is further significant, because, unlike Source A and B error, it can be eliminated only by disaggregating .
La littérature sur Vanalyse spatiale reconnaît trois sources d'erreur d'agrégation appelées erreurs de source A, B, et C. Ces erreurs influencent les modèles qui reposent sur des mesures de distance entre des populations et des installations. On considère les effets d'agrégation des secteurs de dénombrement en secteurs de recensement sur un modèle de localisation courant. On identifie une quatrième source d'erreur d'agrégation appelée erreur de source D. Cette erreur découle de la représentation des sites des installations par des points discrets. Ses effets sont du même ordre de grandeur que ceux des sources A et B combinées et beaucoup plus grands que les effets de source G. L'erreur de source D est d'autant plus significative à cause du fait que, contrairement aux erreurs de source A et B, elle ne peut être éliminée que par la désagrégation .     

Center of Diversity: Sámi in Early Modern Stockholm in the Light of European Colonial Expansion. A Historical Archaeological Approach

This paper deals with the presence of Sámi in central and southern Sweden in the seventeenth century. The Nordic countries have generally been believed to be ethnically homogeneous, with the** colonial subjects not being present in the center of these empires. If the multicultural aspects of early modern Nordic countries are at all discussed, Sámi and other ethnic groups are understood as peoples living on the outskirts of the empires. This notion has cemented an idea that cities such as Copenhagen or Stockholm were inhabited solely by peoples from southern Scandinavia and the continent. Drawing on the experience of the role and presence of indigenous people from the Americas and the Arctic in cities such as London in the seventeenth century, this paper examines the multi-ethnic aspects of early modern Stockholm, capital of Sweden, as an imperial center.     

Peripheralization: Theoretical Concepts Explaining Socio-Spatial Inequalities

The current increase in socio-spatial inequalities in Europe has led to a revival of the terms “peripheralization” and “marginalization” in spatial research. In contrast to the geographical notion of a “periphery”, which is synonymous with distance to a centre and being situated on the fringes of a city, region or nation, research on “peripheralization” describes the production of peripheries through social relations and their spatial implications. The main part of the article provides a critical review of theoretical concepts which attempt to explain socio-spatial disparities between centralization and peripheralization processes. This includes theories of economic polarization, social inequality and political power. Building on this, a multidimensional concept of socio-spatial polarization is outlined, one which comprises processes of centralization and peripheralization in economic, social and political dimensions. Finally, implications are drawn for spatial planning regarding the polarization between metropolitan and non-metropolitan regions and areas for further research are highlighted.     

Organized Materiality

In the late medieval period the religious guilds along with trade guilds grew in importance, as did the role of material culture related to the guilds. This history has seen little examination from a Fenno-Scandinavian and particularly a Swedish vantage point. In order to analyse the role of material culture in the formation of this way of organizing people, the article investigates the existence of late medieval guildhalls, especially rural ones, and discusses remains of other material culture that can be connected to the guilds. The halls, drinking vessels and other material things were activated in the growth of a new more substantial way of organizing society outside the boundaries of feudal society and family control. It is argued that material culture had a significant role in the recurrent activities of the guilds of the Middle Ages and in the shaping of new ways of organizing people.     

Sequential, Bayesian Geostatistics: A Principled Method for Large Data Sets

The principled statistical application of Gaussian random field models used in geostatistics has historically been limited to data sets of a small size. This limitation is imposed by the requirement to store and invert the covariance matrix of all the samples to obtain a predictive distribution at unsampled locations, or to use likelihood-based covariance estimation. Various ad hoc approaches to solve this problem have been adopted, such as selecting a neighborhood region and/or a small number of observations to use in the kriging process, but these have no sound theoretical basis and it is unclear what information is being lost. In this article, we present a Bayesian method for estimating the posterior mean and covariance structures of a Gaussian random field using a sequential estimation algorithm. By imposing sparsity in a well-defined framework, the algorithm retains a subset of " basis vectors " that best represent the " true " posterior Gaussian random field model in the relative entropy sense. This allows a principled treatment of Gaussian random field models on very large data sets. The method is particularly appropriate when the Gaussian random field model is regarded as a latent variable model, which may be nonlinearly related to the observations. We show the application of the sequential, sparse Bayesian estimation in Gaussian random field models and discuss its merits and drawbacks.     

From sustainable development to carbon control: eco-state restructuring and the politics of urban and regional development

The management of carbon emissions holds some prospect for challenging sustainable development as the organising principle of socio-environmental regulation. This paper explores the rise of a distinctive low-carbon polity as an ideological state project, and examines its potential ramifications for the regulation of economy–environment relations at the urban and regional scale. Carbon control would seem to introduce a new set of values into state regulation and this might open up possibilities for challenging mainstream modes of urban and regional development in a manner not possible under sustainable development. But low-carbon restructuring also portends intensified uneven development, new forms of state control and a socially uneven reworking of state–society relations. In order to explore these issues we start by setting out a framework for conceptualising environmental regulation based around the idea of eco-state restructuring. This idea is introduced to capture the conflicts, power struggles and strategic selectivities involved as governments seek to reconcile environmental protection with multiple other pressures and demands. Overall the paper seeks to make a distinctive contribution to theoretical work on state environmental regulation and the emerging spatial dimensions of climate policy.