Leading Double Lives: The History of the Double House in Des Moines, 2005

How people choose to live depends on a variety of social and economic circumstances. Single family dwellings, extended family compounds, and communal apartment blocks are all forms of residential architecture that have ancient roots and occur in every culture. Each form both reflects and affects the living styles of the people who reside there. The double house, which shelters two families in units separated by a wall or floor, balances the convenience of an apartment with the psychological comforts of a home. During the mid to late nineteenth and early twentieth centuries in the United States, the double house was hugely popular in some cities, such as Minneapolis and Milwaukee, but only a minimal presence in Des Moines

La trayectoria residencial de la inmigración en Madrid y Barcelona. Un esquema teórico a partir del análisis cualitativo

El presente artículo busca proponer un esquema teórico que refleje el comportamientoresidencial de la población inmigrante en España. Dicho diagrama es el resultado de 50entrevistas en profundidad realizadas en las áreas metropolitanas de Madrid y Barcelona.El análisis del contenido de las entrevistas permite diferenciar etapas en el proceso migratoriode integración: el aterrizaje, la llegada, el asentamiento y la estabilización. Estas etapassintetizan el recorrido de un inmigrante extracomunitario en el camino hacia la satisfacción consu situación residencial.Cada etapa presenta diferencias en los criterios de localización residencial; en el tipo devivienda al que el inmigrante aspira; y en la composición del hogar. Asimismo, las etapasevolucionan de acuerdo con el origen del inmigrante, su capital humano, su acceso a redessociales y según si su proyecto migratorio es individual o familiar.

Report on Impacts and Costs of the Iowa Low-Income Weatherization Program, 2004

This report summarizes state and utility low-income weatherization program activity for dwellings weatherized to completion during calendar year 2004. The report includes state, utility, and agency summaries of calendar year 2004 spending and impacts by measure, end-use, and fuel. The base data consisted of statewide program tracking databases of spending and measure installations maintained by the Iowa Department of Community Action Agencies.

Report on Impacts and Costs of the Iowa Low-Income Weatherization Program, 2005

This report summarizes state and utility low-income weatherization program activity for dwellings weatherized to completion during calendar year 2005. The report includes state, utility, and agency summaries of calendar year 2005 spending and impacts by measure, end-use, and fuel. The base data consisted of statewide program tracking databases of spending and measure installations maintained by the Iowa Department of Community Action Agencies.

Report on Impacts and Costs of the Iowa Low-Income Weatherization Program, 2006

This report summarizes state and utility low-income weatherization program activity for dwellings weatherized to completion during calendar year 2006. The report includes state, utility, and agency summaries of calendar year 2006 spending and impacts by measure, end-use, and fuel. The base data consisted of statewide program tracking databases of spending and measure installations maintained by the Iowa Department of Community Action Agencies.

Report on Impacts and Costs of the Iowa Low-Income Weatherization Program, 2007

This report summarizes state and utility low-income weatherization program activity for dwellings weatherized to completion during calendar year 2007. The report includes state, utility, and agency summaries of calendar year 2007 spending and impacts by measure, end-use, and fuel. The base data consisted of statewide program tracking databases of spending and measure installations maintained by the Iowa Department of Community Action Agencies.

Report on Impacts and Costs of the Iowa Low-Income Weatherization Program, 2008

This report summarizes state and utility low-income weatherization program activity for dwellings weatherized to completion during calendar year 2008. The report includes state, utility, and agency summaries of calendar year 2008 spending and impacts by measure, end-use, and fuel. The base data consisted of statewide program tracking databases of spending and measure installations maintained by the Iowa Department of Community Action Agencies.

Concurso para el desarrollo urbanístico arquitectónico para la Península de Lago Velence

concurs restringit deprojectes amb caràcter d’estudi previ, per aldesenvolumapent urbanístic i arquitectònic de laPenínsula del Llac Velence de Gardony, a 50 kilometres de Budapest, Hongria.

Arquitectura domèstica al Bronze Final i Primera Edat del Ferro a Catalunya: habitacions construïdes amb materials duradors: estat de la qüestió

El present treball es proposa l'estudi fonnal de I'habitat construtt amb materials duradors a Catalunya durant el Bronze Final i la Primera Edat del Ferro, i se centra en l'aninisi dels materials i tecniques de construcció emprats, així com en l' estructura de la casa (planta, dimensions, superfície). Els elements definidors d'aquests habitacles en els períodes estudiats consisteixen en l'ús sistematic de la pedra i la terra com a materials de construcció i la disposició d'habitacions de planta rectangular compartint parets mitgeres, amb poca compartimentació interna i pocs agenc¡:aments al seu interior (llar, forn, banquetes). Les dimensions maximes d'aquestes habitacions no superen, per nonna general, els 20 metres quadrats. La unifonnitat d'aquestes construccions, unida a la poca compartimentació de l'espai, suggereix que ens trobem davant una arquitectura poc especialitzada, que podria correspondre a una societat amb una organització socio-política poc complexa.

Analysis and spatial modeling of the indoor radon Swiss data

The present research deals with an important public health threat, which is the pollution created by radon gas accumulation inside dwellings. The spatial modeling of indoor radon in Switzerland is particularly complex and challenging because of many influencing factors that should be taken into account. Indoor radon data analysis must be addressed from both a statistical and a spatial point of view. As a multivariate process, it was important at first to define the influence of each factor. In particular, it was important to define the influence of geology as being closely associated to indoor radon. This association was indeed observed for the Swiss data but not probed to be the sole determinant for the spatial modeling. The statistical analysis of data, both at univariate and multivariate level, was followed by an exploratory spatial analysis. Many tools proposed in the literature were tested and adapted, including fractality, declustering and moving windows methods. The use of Quan-tité Morisita Index (QMI) as a procedure to evaluate data clustering in function of the radon level was proposed. The existing methods of declustering were revised and applied in an attempt to approach the global histogram parameters. The exploratory phase comes along with the definition of multiple scales of interest for indoor radon mapping in Switzerland. The analysis was done with a top-to-down resolution approach, from regional to local lev¬els in order to find the appropriate scales for modeling. In this sense, data partition was optimized in order to cope with stationary conditions of geostatistical models. Common methods of spatial modeling such as Κ Nearest Neighbors (KNN), variography and General Regression Neural Networks (GRNN) were proposed as exploratory tools. In the following section, different spatial interpolation methods were applied for a par-ticular dataset. A bottom to top method complexity approach was adopted and the results were analyzed together in order to find common definitions of continuity and neighborhood parameters. Additionally, a data filter based on cross-validation was tested with the purpose of reducing noise at local scale (the CVMF). At the end of the chapter, a series of test for data consistency and methods robustness were performed. This lead to conclude about the importance of data splitting and the limitation of generalization methods for reproducing statistical distributions. The last section was dedicated to modeling methods with probabilistic interpretations. Data transformation and simulations thus allowed the use of multigaussian models and helped take the indoor radon pollution data uncertainty into consideration. The catego-rization transform was presented as a solution for extreme values modeling through clas-sification. Simulation scenarios were proposed, including an alternative proposal for the reproduction of the global histogram based on the sampling domain. The sequential Gaussian simulation (SGS) was presented as the method giving the most complete information, while classification performed in a more robust way. An error measure was defined in relation to the decision function for data classification hardening. Within the classification methods, probabilistic neural networks (PNN) show to be better adapted for modeling of high threshold categorization and for automation. Support vector machines (SVM) on the contrary performed well under balanced category conditions. In general, it was concluded that a particular prediction or estimation method is not better under all conditions of scale and neighborhood definitions. Simulations should be the basis, while other methods can provide complementary information to accomplish an efficient indoor radon decision making.