Spatial Planning Measures for the Enhancement of Urban Resilience Against Flooding Risk

Dentro del campo de la ciudad como lugar se analiza el concepto de planificación territorial y planeamiento espacial. Flooding is one of the main risks associated to many urban settlements in Spain and, indeed, elsewhere. The location of cities has traditionally ignored this type of risk as other locational criteria prevailed (communications, crop yields, etc.). Defence engineering has been the customary way to offset the risk but, nowadays, the opportunity costs of engineering works in urban areas has highlighted the interest of “soft measures” based on prevention. Early warning systems plus development planning controls rank among the most favoured ones. This paper reflects the results of a recent EU-financed research project on alternative measures geared to the enhancement of urban resilience against flooding. A city study in Spain is used as example of those measures.

Plant β-diversity i in human-altered forest ecosystems: the importance of the structural, spatial, and topographical characteristics of stands in patterning plant species assemblages

An understanding of spatial patterns of plant species diversity and the factors that drive those patterns is critical for the development of appropriate biodiversity management in forest ecosystems. We studied the spatial organization of plants species in human- modified and managed oak forests (primarily, Quercus faginea) in the Central Pre- Pyrenees, Spain. To test whether plant community assemblages varied non-randomly across the spatial scales, we used multiplicative diversity partitioning based on a nested hierarchical design of three increasingly coarser spatial scales (transect, stand, region). To quantify the importance of the structural, spatial, and topographical characteristics of stands in patterning plant species assemblages and identify the determinants of plant diversity patterns, we used canonical ordination. We observed a high contribution of ˟-diversity to total -diversity and found ˟-diversity to be higher and ˞-diversity to be lower than expected by random distributions of individuals at different spatial scales. Results, however, partly depended on the weighting of rare and abundant species. Variables expressing the historical management intensities of the stand such as mean stand age, the abundance of the dominant tree species (Q. faginea), age structure of the stand, and stand size were the main factors that explained the compositional variation in plant communities. The results indicate that (1) the structural, spatial, and topographical characteristics of the forest stands have the greatest effect on diversity patterns, (2) forests in landscapes that have different land use histories are environmentally heterogeneous and, therefore, can experience high levels of compositional differentiation, even at local scales (e.g., within the same stand). Maintaining habitat heterogeneity at multiple spatial scales should be considered in the development of management plans for enhancing plant diversity and related functions in human-altered forests

Creating and modelling personal socio-economic networks in on-line banking

The banking industry is observing how new competitors threaten its millennial business model by targeting unbanked people, offering new financial services to their customer base, and even enabling new channels for existing services and customers. The knowledge on users, their behaviour, and expectations become a key asset in this new context. Well aware of this situation, the Center for Open Middleware, a joint technology center created by Santander Bank and Universidad Politécnica de Madrid, has launched a set of initiatives to allow the experimental analysis and management of socio-economic information. PosdataP2P service is one of them, which seeks to model the economic ties between the holders of university smart cards, leveraging on the social networks the holders are subscribed to. In this paper we describe the design principles guiding the development of the system, its architecture and some implementation details.

Analysis of Contributions to NO2 Ambient Air Quality Levels in Madrid City (Spain) through Modeling. Implications for the Development of Policies and Air Quality Monitoring

As environmental standards become more stringent (e.g. European Directive 2008/50/EC), more reliable and sophisticated modeling tools are needed to simulate measures and plans that may effectively tackle air quality exceedances, common in large cities across Europe, particularly for NO2. Modeling air quality in urban areas is rather complex since observed concentration values are a consequence of the interaction of multiple sources and processes that involve a wide range of spatial and temporal scales. Besides a consistent and robust multi-scale modeling system, comprehensive and flexible emission inventories are needed. This paper discusses the application of the WRF-SMOKE-CMAQ system to the Madrid city (Spain) to assess the contribution of the main emitting sectors in the region. A detailed emission inventory was compiled for this purpose. This inventory relies on bottom-up methods for the most important sources. It is coupled with the regional traffic model and it makes use of an extensive database of industrial, commercial and residential combustion plants. Less relevant sources are downscaled from national or regional inventories. This paper reports the methodology and main results of the source apportionment study performed to understand the origin of pollution (main sectors and geographical areas) and define clear targets for the abatement strategy. Finally the structure of the air quality monitoring is analyzed and discussed to identify options to improve the monitoring strategy not only in the Madrid city but the whole metropolitan area.

Development and implementation of an air quality integrated assessment modelling system for the Iberian Peninsula

La mejora de la calidad del aire es una tarea eminentemente interdisciplinaria. Dada la gran variedad de ciencias y partes involucradas, dicha mejora requiere de herramientas de evaluación simples y completamente integradas. La modelización para la evaluación integrada (integrated assessment modeling) ha demostrado ser una solución adecuada para la descripción de los sistemas de contaminación atmosférica puesto que considera cada una de las etapas involucradas: emisiones, química y dispersión atmosférica, impactos ambientales asociados y potencial de disminución. Varios modelos de evaluación integrada ya están disponibles a escala continental, cubriendo cada una de las etapas antesmencionadas, siendo el modelo GAINS (Greenhouse Gas and Air Pollution Interactions and Synergies) el más reconocido y usado en el contexto europeo de toma de decisiones medioambientales. Sin embargo, el manejo de la calidad del aire a escala nacional/regional dentro del marco de la evaluación integrada es deseable. Esto sin embargo, no se lleva a cabo de manera satisfactoria con modelos a escala europea debido a la falta de resolución espacial o de detalle en los datos auxiliares, principalmente los inventarios de emisión y los patrones meteorológicos, entre otros. El objetivo de esta tesis es presentar los desarrollos en el diseño y aplicación de un modelo de evaluación integrada especialmente concebido para España y Portugal. El modelo AERIS (Atmospheric Evaluation and Research Integrated system for Spain) es capaz de cuantificar perfiles de concentración para varios contaminantes (NO2, SO2, PM10, PM2,5, NH3 y O3), el depósito atmosférico de especies de azufre y nitrógeno así como sus impactos en cultivos, vegetación, ecosistemas y salud como respuesta a cambios porcentuales en las emisiones de sectores relevantes. La versión actual de AERIS considera 20 sectores de emisión, ya sea equivalentes a sectores individuales SNAP o macrosectores, cuya contribución a los niveles de calidad del aire, depósito e impactos han sido modelados a través de matrices fuentereceptor (SRMs). Estas matrices son constantes de proporcionalidad que relacionan cambios en emisiones con diferentes indicadores de calidad del aire y han sido obtenidas a través de parametrizaciones estadísticas de un modelo de calidad del aire (AQM). Para el caso concreto de AERIS, su modelo de calidad del aire “de origen” consistió en el modelo WRF para la meteorología y en el modelo CMAQ para los procesos químico-atmosféricos. La cuantificación del depósito atmosférico, de los impactos en ecosistemas, cultivos, vegetación y salud humana se ha realizado siguiendo las metodologías estándar establecidas bajo los marcos internacionales de negociación, tales como CLRTAP. La estructura de programación está basada en MATLAB®, permitiendo gran compatibilidad con software típico de escritorio comoMicrosoft Excel® o ArcGIS®. En relación con los niveles de calidad del aire, AERIS es capaz de proveer datos de media anual y media mensual, así como el 19o valor horario más alto paraNO2, el 25o valor horario y el 4o valor diario más altos para SO2, el 36o valor diario más alto para PM10, el 26o valor octohorario más alto, SOMO35 y AOT40 para O3. En relación al depósito atmosférico, el depósito acumulado anual por unidad de area de especies de nitrógeno oxidado y reducido al igual que de azufre pueden ser determinados. Cuando los valores anteriormente mencionados se relacionan con características del dominio modelado tales como uso de suelo, cubiertas vegetales y forestales, censos poblacionales o estudios epidemiológicos, un gran número de impactos puede ser calculado. Centrándose en los impactos a ecosistemas y suelos, AERIS es capaz de estimar las superaciones de cargas críticas y las superaciones medias acumuladas para especies de nitrógeno y azufre. Los daños a bosques se calculan como una superación de los niveles críticos de NO2 y SO2 establecidos. Además, AERIS es capaz de cuantificar daños causados por O3 y SO2 en vid, maíz, patata, arroz, girasol, tabaco, tomate, sandía y trigo. Los impactos en salud humana han sido modelados como consecuencia de la exposición a PM2,5 y O3 y cuantificados como pérdidas en la esperanza de vida estadística e indicadores de mortalidad prematura. La exactitud del modelo de evaluación integrada ha sido contrastada estadísticamente con los resultados obtenidos por el modelo de calidad del aire convencional, exhibiendo en la mayoría de los casos un buen nivel de correspondencia. Debido a que la cuantificación de los impactos no es llevada a cabo directamente por el modelo de calidad del aire, un análisis de credibilidad ha sido realizado mediante la comparación de los resultados de AERIS con los de GAINS para un escenario de emisiones determinado. El análisis reveló un buen nivel de correspondencia en las medias y en las distribuciones probabilísticas de los conjuntos de datos. Las pruebas de verificación que fueron aplicadas a AERIS sugieren que los resultados son suficientemente consistentes para ser considerados como razonables y realistas. En conclusión, la principal motivación para la creación del modelo fue el producir una herramienta confiable y a la vez simple para el soporte de las partes involucradas en la toma de decisiones, de cara a analizar diferentes escenarios “y si” con un bajo coste computacional. La interacción con políticos y otros actores dictó encontrar un compromiso entre la complejidad del modeladomedioambiental con el carácter conciso de las políticas, siendo esto algo que AERIS refleja en sus estructuras conceptual y computacional. Finalmente, cabe decir que AERIS ha sido creado para su uso exclusivo dentro de un marco de evaluación y de ninguna manera debe ser considerado como un sustituto de los modelos de calidad del aire ordinarios. ABSTRACT Improving air quality is an eminently inter-disciplinary task. The wide variety of sciences and stakeholders that are involved call for having simple yet fully-integrated and reliable evaluation tools available. Integrated AssessmentModeling has proved to be a suitable solution for the description of air pollution systems due to the fact that it considers each of the involved stages: emissions, atmospheric chemistry, dispersion, environmental impacts and abatement potentials. Some integrated assessment models are available at European scale that cover each of the before mentioned stages, being the Greenhouse Gas and Air Pollution Interactions and Synergies (GAINS) model the most recognized and widely-used within a European policy-making context. However, addressing air quality at the national/regional scale under an integrated assessment framework is desirable. To do so, European-scale models do not provide enough spatial resolution or detail in their ancillary data sources, mainly emission inventories and local meteorology patterns as well as associated results. The objective of this dissertation is to present the developments in the design and application of an Integrated Assessment Model especially conceived for Spain and Portugal. The Atmospheric Evaluation and Research Integrated system for Spain (AERIS) is able to quantify concentration profiles for several pollutants (NO2, SO2, PM10, PM2.5, NH3 and O3), the atmospheric deposition of sulfur and nitrogen species and their related impacts on crops, vegetation, ecosystems and health as a response to percentual changes in the emissions of relevant sectors. The current version of AERIS considers 20 emission sectors, either corresponding to individual SNAP sectors or macrosectors, whose contribution to air quality levels, deposition and impacts have been modeled through the use of source-receptor matrices (SRMs). Thesematrices are proportionality constants that relate emission changes with different air quality indicators and have been derived through statistical parameterizations of an air qualitymodeling system (AQM). For the concrete case of AERIS, its parent AQM relied on the WRF model for meteorology and on the CMAQ model for atmospheric chemical processes. The quantification of atmospheric deposition, impacts on ecosystems, crops, vegetation and human health has been carried out following the standard methodologies established under international negotiation frameworks such as CLRTAP. The programming structure isMATLAB ® -based, allowing great compatibility with typical software such as Microsoft Excel ® or ArcGIS ® Regarding air quality levels, AERIS is able to provide mean annual andmean monthly concentration values, as well as the indicators established in Directive 2008/50/EC, namely the 19th highest hourly value for NO2, the 25th highest daily value and the 4th highest hourly value for SO2, the 36th highest daily value of PM10, the 26th highest maximum 8-hour daily value, SOMO35 and AOT40 for O3. Regarding atmospheric deposition, the annual accumulated deposition per unit of area of species of oxidized and reduced nitrogen as well as sulfur can be estimated. When relating the before mentioned values with specific characteristics of the modeling domain such as land use, forest and crops covers, population counts and epidemiological studies, a wide array of impacts can be calculated. When focusing on impacts on ecosystems and soils, AERIS is able to estimate critical load exceedances and accumulated average exceedances for nitrogen and sulfur species. Damage on forests is estimated as an exceedance of established critical levels of NO2 and SO2. Additionally, AERIS is able to quantify damage caused by O3 and SO2 on grapes, maize, potato, rice, sunflower, tobacco, tomato, watermelon and wheat. Impacts on human health aremodeled as a consequence of exposure to PM2.5 and O3 and quantified as losses in statistical life expectancy and premature mortality indicators. The accuracy of the IAM has been tested by statistically contrasting the obtained results with those yielded by the conventional AQM, exhibiting in most cases a good agreement level. Due to the fact that impacts cannot be directly produced by the AQM, a credibility analysis was carried out for the outputs of AERIS for a given emission scenario by comparing them through probability tests against the performance of GAINS for the same scenario. This analysis revealed a good correspondence in the mean behavior and the probabilistic distributions of the datasets. The verification tests that were applied to AERIS suggest that results are consistent enough to be credited as reasonable and realistic. In conclusion, the main reason thatmotivated the creation of this model was to produce a reliable yet simple screening tool that would provide decision and policy making support for different “what-if” scenarios at a low computing cost. The interaction with politicians and other stakeholders dictated that reconciling the complexity of modeling with the conciseness of policies should be reflected by AERIS in both, its conceptual and computational structures. It should be noted however, that AERIS has been created under a policy-driven framework and by no means should be considered as a substitute of the ordinary AQM.

Wind pumps for irrigating greenhouse crops: comparison in different socio-economical frameworks

Wind power can play an interesting role in irrigation projects in different areas. A methodology can determine the feasibility of the technology and the levels of daily irrigation demand satisfied by windmills at different levels of risk, using tomato (Lycopersicon esculentum Mill) as greenhouse crop. The present work compared the feasibility of the technology and the critical factors involved in three different countries: Cuba, Spain and Pakistan. The study considered as factors the wind speed level, the energy cost, the tomato prices, the reliability and distance to the electrical grid, and the crop development dates, determining the economic feasibility for each combination of factors in each country.

La casa crecedera. El crecimiento programado de la vivienda con innovación europea y economía de medios latinoamericana

El concepto de casa crecedera, tal y como lo conocemos en la actualidad, se acuñó por primera vez en 1932 en el concurso Das Wachsende Haus organizado por Martin Wagner y Hans Poelzig dentro del marco de la Exposición Internacional Sonne, Luft und Haus für alle, promovida por la Oficina de Turismo de la ciudad de Berlín. En dicho concurso, se definía este tipo de vivienda como aquella célula básica o vivienda semilla que, dependiendo de las necesidades y posibilidades de los habitantes, podía crecer mediante otras estancias, conformando una vivienda completa en sí misma en cada fase de crecimiento. Numerosos arquitectos de primer orden, tales como Walter Gropius, Bruno Taut, Erich Mendelsohn o Hans Scharoun, participaron en este concurso, abriendo una nueva vía de exploración dentro de la vivienda flexible, la del crecimiento programado. A partir de ese momento, en Europa, y subsecuentemente en EEUU y otras regiones desarrolladas, se iniciaron numerosas investigaciones teóricas y prácticas en torno al fenómeno del crecimiento en la vivienda desde un enfoque vinculado a la innovación, tanto espacial como técnica. Por otro lado, aunque dentro del marco de la arquitectura popular de otros países, ya se ensayaban viviendas crecederas desde el siglo XVIII debido a que, por su tamaño, eran más asequibles dentro del mercado. Desde los años treinta, numerosos países en vías de desarrollo tuvieron que lidiar con migraciones masivas del campo a la ciudad, por lo que se construyeron grandes conjuntos habitacionales que, en numerosos casos, estaban conformados por viviendas crecederas. En todos ellos, la aproximación al crecimiento de la vivienda se daba desde una perspectiva diferente a la de los países desarrollados. Se primaba la economía de medios, el uso de sistemas constructivos de bajo costo y, en muchos casos, se fomentaba incluso la autoconstrucción guiada, frente a las construcciones prefabricadas ensambladas por técnicos especializados que se proponían, por ejemplo, en los casos europeos. Para realizar esta investigación, se recopiló información de estas y otras viviendas. A continuación, se identificaron distintas maneras de producir el crecimiento, atendiendo a su posición relativa respecto de la vivienda semilla, a las que se denominó mecanismos de ampliación, utilizados indistintamente sin tener en cuenta la ubicación geográfica de cada casa. La cuestión de porqué se prefiere un mecanismo en lugar de otro en un caso determinado, desencadenó el principal objetivo de esta Tesis: la elaboración de un sistema de análisis y diagnóstico de la vivienda crecedera que, de acuerdo a determinados parámetros, permitiera indicar cuál es la ampliación o sucesión de ampliaciones óptimas para una familia concreta, en una ubicación establecida. Se partió de la idea de que el crecimiento de la vivienda está estrechamente ligado a la evolución de la unidad de convivencia que reside en ella, de manera que la casa se transformó en un hábitat dinámico. Además se atendió a la complejidad y variabilidad del fenómeno, sujeto a numerosos factores socio-económicos difícilmente previsibles en el tiempo, pero fácilmente monitorizables según unos patrones determinados vinculados a la normatividad, el número de habitantes, el ahorro medio, etc. Como consecuencia, para el diseño del sistema de optimización de la vivienda crecedera, se utilizaron patrones evolutivos. Dichos patrones, alejados ya del concepto espacial y morfológico usualmente utilizado en arquitectura por figuras como C. Alexander o J. Habraken, pasaron a entenderse como una secuencia de eventos en el tiempo (espaciales, sociales, económicos, legales, etc.), que describen el proceso de transformación y que son peculiares de cada vivienda. De esta manera, el tiempo adquirió una especial importancia al convertirse en otro material más del proyecto arquitectónico. Fue en la construcción de los patrones donde se identificaron los mencionados mecanismos de ampliación, entendidos también como sistemas de compactación de la ciudad a través de la ocupación tridimensional del espacio. Al estudiar la densidad, mediante los conceptos de holgura y hacinamiento, se aceptó la congestión de las ciudades como un valor positivo. De esta forma, las posibles transformaciones realizadas por los habitantes (previstas desde un inicio) sobre el escenario del habitar (vivienda semilla), se convirtieron también en herramientas de proyecto urbano que responden a condicionantes del lugar y de los habitantes con distintas intensidades de crecimiento, ocupación y densidad. Igualmente, en el proceso de diseño del sistema de optimización, se detectaron las estrategias para la adaptabilidad y transformación de la casa crecedera, es decir, aquella serie de acciones encaminadas a la alteración de la vivienda para facilitar su ampliación, y que engloban desde sistemas constructivos en espera, que facilitan las costuras entre crecimiento y vivienda semilla, hasta sistemas espaciales que permiten que la casa altere su uso transformándose en un hábitat productivo o en un artefacto de renta. Así como los mecanismos de ampliación están asociados a la morfología, se descubrió que su uso es independiente de la localización, y que las estrategias de adaptabilidad de la vivienda se encuentran ligadas a sistemas constructivos o procesos de gestión vinculados a una región concreta. De esta manera, la combinación de los mecanismos con las estrategias caracterizan el proceso de evolución de la vivienda, vinculándola a unos determinados condicionantes sociales, geográficos y por tanto, constructivos. Finalmente, a través de la adecuada combinación de mecanismos de ampliación y estrategias de adaptabilidad en el proyecto de la vivienda con crecimiento programado es posible optimizar su desarrollo en términos económicos, constructivos, sociales y espaciales. Como resultado, esto ayudaría no sólo a mejorar la vida de los habitantes de la vivienda semilla en términos cualitativos y cuantitativos, sino también a compactar las ciudades mediante sistemas incluyentes, ya que las casas crecederas proporcionan una mayor complejidad de usos y diversidad de relaciones sociales. ABSTRACT The growing house concept -as we currently know it- was used for the first time back in 1932 in the competition Das Wachsende Haus organized by Martin Wagner and Hans Poelzig during the International Exhibition Sonne, Luft und Haus für alle, promoted by Berlin's Tourist Office. In that competition this type of housing was defined as a basic cell or a seed house unit, and depending on the needs and capabilities of the residents it could grow by adding rooms and defining itself as a complete house unit during each growing stage. Many world-top class architects such as Walter Gropius, Bruno Taut, Erich Mendelsohn or Hans Scharoun, were part of this competition exploring a new path in the flexible housing field, the scheduled grownth. From that moment and on, in Europe -and subsequently in the USA and other developed areas- many theorical and pragmatical researchs were directed towards the growing house phenomena, coming from an initial approach related to innovation, spacial and technical innovation. Furthermore -inside the traditional architecture frame in other countries, growing houses were already tested in the XVIII century- mainly due to the size were more affordable in the Real State Market. Since the 30's decade many developing countries had to deal with massive migration movements from the countryside to cities, building large housing developments were -in many cases- formed by growing housing units. In all of these developing countries the growing house approach was drawn from a different perspective than in the developed countries. An economy of means was prioritized, the utilization of low cost construction systems and -in many cases- a guided self-construction was prioritized versus the prefabricated constructions set by specialized technics that were proposed -for instance- in the European cases. To proceed with this research, information from these -and other- housing units was gathered. From then and on different ways to perform the growing actions were identified, according to its relative position from the seed house unit, these ways were named as addition or enlargement mechanisms indifferently utilized without adknowledging the geographic location for each house. The question of why one addition mechanism is preferred over another in any given case became the main target of this Thesis; the ellaboration of an analysis and diagnosis system for the growing house -according to certain parameters- would allow to point out which is the addition or addition process more efficient for a certain family in a particular location. As a starting point the grownth of the housing unit is directly linked to the evolution of the family unit that lives on it, so the house becomes a dynamic habitat. The complexity and the variability of the phenomena was taken into consideration related to a great number of socio-economic factors hardly able to be foreseen ahead on time but easy to be monitored according to certain patterns linked to regulation, population, average savings, etc As a consequence, to design the optimization system for the growing house, evolutionary patterns were utilized. Those patterns far away from the spatial and morphologic concept normally utilized in Architecture by characters like C. Alexander or J. Habraken, started to be understood like a sequence of events on time (spatial events, social events, economic events, legal events, etc) that describes the transformation process and that are particular for each housing unit. Therefore time became something important as another ingredient in the Architectural Project. The before mentioned addition or enlargement mechanisms were identified while building the patterns; these mechanisms were also understood as city's system of compactation through the tridimendional ocupation of space. Studying density, thorough the concepts of comfort and overcrowding, traffic congestion in the city was accepted as a positive value. This way, the possible transformations made by the residents (planned from the begining) about the residencial scenary (seed house), also became tools of the urban project that are a response to site's distinctive features and to the residents with different grownth intensities, activities and density Likewise, during the process of designing the optimization system, strategies for adaptations and transformation of the growing house were detected, in other words, the serial chain of actions directed to modify the house easing its enlargement or addition, and that comprehends from constructive systems on hold -that smooths the costures between grownth and housing seed- to spatial systems that allows that the house modify its utilization, becoming a productive habitat or a rental asset. Because the enlargement mechanisms are linked to the morphology, it was discovered that the use it's not related to the location, and that the adaptation strategies of the houses are linked to constructive systems or management processes linked to a particular area. This way the combination of mechanisms and strategies characterizes the process of housing evolution, linking it to certain social and geographic peculiarities and therefore constructives. At last, through the certain combination of enlargement mechanisms and adaptability strategies in the housing with scheduled grownth project is possible to optimize its development in economic, constructive, social and spatial terms. As a result, this would help not only to improve the life of the seed house residents in qualitative and quantitative terms but also to compact the cities through inclusive systems, given that the growing houses provide a larger complexity of uses and social relations.

Efectos territoriales de las denominaciones de origen protegidas de aceite de oliva en España

La implementación de indicaciones geográficas, generan distintos efectos socio-económicos, tecnológicos y ambientales, no sólo a nivel de los productores directamente involucrados, sino también en el marco del sistema agroalimentario local (SIAL). Entre estos últimos, se destaca la organización colectiva de los productores y el desarrollo de una gobernanza, a partir del conjunto de actividades desarrolladas por el Consejo Regulador (CR), en torno al control de calidad y la promoción del producto. El concepto de gobernanza territorial implica llevar a cabo procesos de organización colectiva en red en los que tienen lugar procesos de coordinación multi-nivel entre los agentes, las empresas y las instituciones locales, en un contexto de asimetría en la información y de la existencia de numerosos decisores. El objetivo de esta Tesis Doctoral es realizar un aporte metodológico para el estudio de la gobernanza territorial en sistemas agroalimentarios localizados, a partir de la construcción de indicadores (de calidad, innovación, efectos económicos y prácticas ambientales) y el análisis de las redes de colaboración en materia de difusión del conocimiento e innovaciones técnicas, organizativas y comerciales en la Comarca de Sierra Mágina. Para responder el objetivo se aplica análisis de redes sociales y se construyen indicadores sintéticos para valorizar los efectos. Se realizan encuestas a la totalidad de almazaras presentes en la Comarca de Sierra Mágina, tanto a las que poseen el signo de calidad como a las que no cuentan con dicha marca territorial y entrevistas a testigos privilegiados. En las mismas se consulta sobre las actividades y proyectos que realizan en forma conjunta con otras almazaras e instituciones, así como los actores o referentes a quiénes consultan en temas relacionados con la calidad en la producción olivícola y la obtención de aceite, así como aquellos actores a quienes consultan en aspectos referidos a la Comercialización y gestión. A partir de la información recabada, se obtienen cuatro indicadores sintéticos de efectos de la implantación de una DOP en las almazaras adheridas, referidos a la adopción de innovaciones productivas y organizativas, a la calidad en producto y procesos, a las rentas de diferenciación y a las prácticas ambientales. Asimismo se generan las matrices bi-narias y valuadas para las redes de colaboración en la difusión del conocimiento y se calculan los indicadores particulares. Esto nos permite estudiar las características de las redes que se generan (tamaño, conectividad), el papel del CR en la gobernanza territorial y de otras instituciones del medio, así como identificar actores centrales y grupos en el proceso de difusión de conocimientos. Los resultados muestran que los SIAL pueden beneficiarse de la organización interprofesional y de cooperación interinstitucional a escala local que se producen tras la implantación de una DOP. Se desarrolla un proceso de articulación y un fuerte intercambio de conocimientos entre actores ligados al propio proceso de control de la calidad diferencial. Pero, junto con ello, se desarrollan actividades de formación y de promoción del patrimonio comarcal y se consolidan redes locales de innovación y colaboración mutua en distintas actividades, tanto entre actores de la propia cadena de producción, como entre éstos y las instituciones del medio. Estas actividades, junto con la presencia de un entramado institucional denso, permiten el desarrollo de una gobernanza territorial alrededor del sistema agroalimentario del aceite de oliva. ABSTRACT The implementation of geographical indications has different socio-economic, technological and environmental effects not only for the producers involved but also for the local agro food system (LAFS). Among the latter, we can highlight the collective organization of producers and the development of territorial governance through a series of tasks developed by the Regulatory Board (RB) as regards quality control and product marketing. The concept of territorial governance involves processes of collective organization in networks, where processes of multi-level coordination among agents, enterprises and local institutions take place within a context of asymmetry of information and numerous decision makers. The objective of this Doctoral Thesis is to contribute with methodological tools for the study of territorial governance in local agro food systems by constructing indicators (of quality, innovation, economic effects and environmental practices) and by analyzing networks of collaboration in terms of dissemination of technical, organizational and commercial innovation and knowledge in Comarca de Sierra Mágina. To achieve that objective, social network analysis is applied and synthetic indicators are elaborated to valorize the effects. Interviews to key actors and surveys to every oil mill in Comarca de Sierra Mágina are carried out, not only in those oil mills that host a label of quality but also in the ones that do not hold it. These interviews inquire about tasks and projects performed together with other oil mills and institutions and about actors or referents consulted in topics related to quality in olive production and oil extraction as well as in management and marketing. From all the information collected, four synthetic indicators of the effects of establishing Protected Designations of Origen (PDOs) in the associate oil mills are obtained, in terms of adoption of productive and organizational innovations, process and product quality, income differentiation and environmental practices. In the same way, binary and valorized matrixes are generated for those networks collaborating in the dissemination of knowledge and specific indicators are calculated. This allows to study networks (size, connectivity), the role of RB in territorial governance and other institutions involved and to identify main actors and groups in the process of knowledge dissemination. The results show that the LAFS can benefit from inter-professional organizations and inter- institutional cooperation at local levels by implementing PDOs. A process of articulation and strong exchange of knowledge is developed among those actors involved in controlling differential quality. But, at the same time, activities for the formation and promotion of the “comarca” patrimony are developed and local networks of innovation and mutual collaboration are built for different activities, not only among actors in the production process itself, but between these actors and local institutions as well. These tasks, together with the existence of a dense spatial entrepreneurial network, allow the development of territorial governance on the olive oil agro food system.

Development of a hand-gesture recognition system for human-computer interaction

The aim of this Master Thesis is the analysis, design and development of a robust and reliable Human-Computer Interaction interface, based on visual hand-gesture recognition. The implementation of the required functions is oriented to the simulation of a classical hardware interaction device: the mouse, by recognizing a specific hand-gesture vocabulary in color video sequences. For this purpose, a prototype of a hand-gesture recognition system has been designed and implemented, which is composed of three stages: detection, tracking and recognition. This system is based on machine learning methods and pattern recognition techniques, which have been integrated together with other image processing approaches to get a high recognition accuracy and a low computational cost. Regarding pattern recongition techniques, several algorithms and strategies have been designed and implemented, which are applicable to color images and video sequences. The design of these algorithms has the purpose of extracting spatial and spatio-temporal features from static and dynamic hand gestures, in order to identify them in a robust and reliable way. Finally, a visual database containing the necessary vocabulary of gestures for interacting with the computer has been created.