Proyecto de ordenación de los montes Barranco de Regachol y Mola de Catí números 23 y 24 de los propios de Tortosa.

Los montes Mola de Catí y Barranco de Regachol componen una sola sección con dos cuarteles: Cuartel A Mola de Catí Cuartel B Barranco de Regachol Debido a la falta de tiempo y a que el libramiento para la ejecución del proyecto no llegó hasta mediados de septiembre, presentamos completo solamente el Cuartel A Mola de Catí, no obstante, de los Estados Legal y Natural incluimos los de ambos montes, procediendo igualmente respecto al Estado Forestal (salvo el cálculo de existencias y árboles tipos) y en la ordenación hasta la división de tramos.

Proyecto de ordenación del "Monte Refalgueri" situado en el termino municipal de "La Genia" (Tarragona)

El monte “Refalgueri” objeto de esta memoria está situado en la provincia de Tarragona, constituyendo el límite de la misma con las de Teruel y Castellón, en el partido Judicial de Tortosa y término municipal de La Cenia, sin que haya posibilidad de cambio en el presente de su posición administrativa.

MEDVIR: 3D visual interface applied to gene profile analisys.

The origins for this work arise in response to the increasing need for biologists and doctors to obtain tools for visual analysis of data. When dealing with multidimensional data, such as medical data, the traditional data mining techniques can be a tedious and complex task, even to some medical experts. Therefore, it is necessary to develop useful visualization techniques that can complement the expert’s criterion, and at the same time visually stimulate and make easier the process of obtaining knowledge from a dataset. Thus, the process of interpretation and understanding of the data can be greatly enriched. Multidimensionality is inherent to any medical data, requiring a time-consuming effort to get a clinical useful outcome. Unfortunately, both clinicians and biologists are not trained in managing more than four dimensions. Specifically, we were aimed to design a 3D visual interface for gene profile analysis easy in order to be used both by medical and biologist experts. In this way, a new analysis method is proposed: MedVir. This is a simple and intuitive analysis mechanism based on the visualization of any multidimensional medical data in a three dimensional space that allows interaction with experts in order to collaborate and enrich this representation. In other words, MedVir makes a powerful reduction in data dimensionality in order to represent the original information into a three dimensional environment. The experts can interact with the data and draw conclusions in a visual and quickly way.

A methodology to compare dimensionality reduction algorithms in terms of loss of quality

Dimensionality Reduction (DR) is attracting more attention these days as a result of the increasing need to handle huge amounts of data effectively. DR methods allow the number of initial features to be reduced considerably until a set of them is found that allows the original properties of the data to be kept. However, their use entails an inherent loss of quality that is likely to affect the understanding of the data, in terms of data analysis. This loss of quality could be determinant when selecting a DR method, because of the nature of each method. In this paper, we propose a methodology that allows different DR methods to be analyzed and compared as regards the loss of quality produced by them. This methodology makes use of the concept of preservation of geometry (quality assessment criteria) to assess the loss of quality. Experiments have been carried out by using the most well-known DR algorithms and quality assessment criteria, based on the literature. These experiments have been applied on 12 real-world datasets. Results obtained so far show that it is possible to establish a method to select the most appropriate DR method, in terms of minimum loss of quality. Experiments have also highlighted some interesting relationships between the quality assessment criteria. Finally, the methodology allows the appropriate choice of dimensionality for reducing data to be established, whilst giving rise to a minimum loss of quality.

MedVir: 3D visual interface applied to gene profile analysis

The use of data mining techniques for the gene profile discovery of diseases, such as cancer, is becoming usual in many researches. These techniques do not usually analyze the relationships between genes in depth, depending on the different variety of manifestations of the disease (related to patients). This kind of analysis takes a considerable amount of time and is not always the focus of the research. However, it is crucial in order to generate personalized treatments to fight the disease. Thus, this research focuses on finding a mechanism for gene profile analysis to be used by the medical and biologist experts. Results: In this research, the MedVir framework is proposed. It is an intuitive mechanism based on the visualization of medical data such as gene profiles, patients, clinical data, etc. MedVir, which is based on an Evolutionary Optimization technique, is a Dimensionality Reduction (DR) approach that presents the data in a three dimensional space. Furthermore, thanks to Virtual Reality technology, MedVir allows the expert to interact with the data in order to tailor it to the experience and knowledge of the expert.

A visual framework to accelerate knowledge discovery based on dimensionality reduction minimizing degradation of quality

Tradicionalmente, el uso de técnicas de análisis de datos ha sido una de las principales vías para el descubrimiento de conocimiento oculto en grandes cantidades de datos, recopilados por expertos en diferentes dominios. Por otra parte, las técnicas de visualización también se han usado para mejorar y facilitar este proceso. Sin embargo, existen limitaciones serias en la obtención de conocimiento, ya que suele ser un proceso lento, tedioso y en muchas ocasiones infructífero, debido a la dificultad de las personas para comprender conjuntos de datos de grandes dimensiones. Otro gran inconveniente, pocas veces tenido en cuenta por los expertos que analizan grandes conjuntos de datos, es la degradación involuntaria a la que someten a los datos durante las tareas de análisis, previas a la obtención final de conclusiones. Por degradación quiere decirse que los datos pueden perder sus propiedades originales, y suele producirse por una reducción inapropiada de los datos, alterando así su naturaleza original y llevando en muchos casos a interpretaciones y conclusiones erróneas que podrían tener serias implicaciones. Además, este hecho adquiere una importancia trascendental cuando los datos pertenecen al dominio médico o biológico, y la vida de diferentes personas depende de esta toma final de decisiones, en algunas ocasiones llevada a cabo de forma inapropiada. Ésta es la motivación de la presente tesis, la cual propone un nuevo framework visual, llamado MedVir, que combina la potencia de técnicas avanzadas de visualización y minería de datos para tratar de dar solución a estos grandes inconvenientes existentes en el proceso de descubrimiento de información válida. El objetivo principal es hacer más fácil, comprensible, intuitivo y rápido el proceso de adquisición de conocimiento al que se enfrentan los expertos cuando trabajan con grandes conjuntos de datos en diferentes dominios. Para ello, en primer lugar, se lleva a cabo una fuerte disminución en el tamaño de los datos con el objetivo de facilitar al experto su manejo, y a la vez preservando intactas, en la medida de lo posible, sus propiedades originales. Después, se hace uso de efectivas técnicas de visualización para representar los datos obtenidos, permitiendo al experto interactuar de forma sencilla e intuitiva con los datos, llevar a cabo diferentes tareas de análisis de datos y así estimular visualmente su capacidad de comprensión. De este modo, el objetivo subyacente se basa en abstraer al experto, en la medida de lo posible, de la complejidad de sus datos originales para presentarle una versión más comprensible, que facilite y acelere la tarea final de descubrimiento de conocimiento. MedVir se ha aplicado satisfactoriamente, entre otros, al campo de la magnetoencefalografía (MEG), que consiste en la predicción en la rehabilitación de lesiones cerebrales traumáticas (Traumatic Brain Injury (TBI) rehabilitation prediction). Los resultados obtenidos demuestran la efectividad del framework a la hora de acelerar y facilitar el proceso de descubrimiento de conocimiento sobre conjuntos de datos reales. ABSTRACT Traditionally, the use of data analysis techniques has been one of the main ways of discovering knowledge hidden in large amounts of data, collected by experts in different domains. Moreover, visualization techniques have also been used to enhance and facilitate this process. However, there are serious limitations in the process of knowledge acquisition, as it is often a slow, tedious and many times fruitless process, due to the difficulty for human beings to understand large datasets. Another major drawback, rarely considered by experts that analyze large datasets, is the involuntary degradation to which they subject the data during analysis tasks, prior to obtaining the final conclusions. Degradation means that data can lose part of their original properties, and it is usually caused by improper data reduction, thereby altering their original nature and often leading to erroneous interpretations and conclusions that could have serious implications. Furthermore, this fact gains a trascendental importance when the data belong to medical or biological domain, and the lives of people depends on the final decision-making, which is sometimes conducted improperly. This is the motivation of this thesis, which proposes a new visual framework, called MedVir, which combines the power of advanced visualization techniques and data mining to try to solve these major problems existing in the process of discovery of valid information. Thus, the main objective is to facilitate and to make more understandable, intuitive and fast the process of knowledge acquisition that experts face when working with large datasets in different domains. To achieve this, first, a strong reduction in the size of the data is carried out in order to make the management of the data easier to the expert, while preserving intact, as far as possible, the original properties of the data. Then, effective visualization techniques are used to represent the obtained data, allowing the expert to interact easily and intuitively with the data, to carry out different data analysis tasks, and so visually stimulating their comprehension capacity. Therefore, the underlying objective is based on abstracting the expert, as far as possible, from the complexity of the original data to present him a more understandable version, thus facilitating and accelerating the task of knowledge discovery. MedVir has been succesfully applied to, among others, the field of magnetoencephalography (MEG), which consists in predicting the rehabilitation of Traumatic Brain Injury (TBI). The results obtained successfully demonstrate the effectiveness of the framework to accelerate and facilitate the process of knowledge discovery on real world datasets.

Three-dimensional spatial distribution of synapses in the neocortex: A dual-beam electron microscopy study

In the cerebral cortex, most synapses are found in the neuropil, but relatively little is known about their 3-dimensional organization. Using an automated dual-beam electron microscope that combines focused ion beam milling and scanning electron microscopy, we have been able to obtain 10 three-dimensional samples with an average volume of 180 µm(3) from the neuropil of layer III of the young rat somatosensory cortex (hindlimb representation). We have used specific software tools to fully reconstruct 1695 synaptic junctions present in these samples and to accurately quantify the number of synapses per unit volume. These tools also allowed us to determine synapse position and to analyze their spatial distribution using spatial statistical methods. Our results indicate that the distribution of synaptic junctions in the neuropil is nearly random, only constrained by the fact that synapses cannot overlap in space. A theoretical model based on random sequential absorption, which closely reproduces the actual distribution of synapses, is also presented.

MedVir: an interactive representation system of multidimensional medical data applied to Traumatic Brain Injury's rehabilitation prediction

Clinicians could model the brain injury of a patient through his brain activity. However, how this model is defined and how it changes when the patient is recovering are questions yet unanswered. In this paper, the use of MedVir framework is proposed with the aim of answering these questions. Based on complex data mining techniques, this provides not only the differentiation between TBI patients and control subjects (with a 72% of accuracy using 0.632 Bootstrap validation), but also the ability to detect whether a patient may recover or not, and all of that in a quick and easy way through a visualization technique which allows interaction.

El Parque Agrario: estructura de preservación de los espacios agrarios en entornos urbanos en un contexto de cambio global

La propuesta del análisis de la figura de Parque Agrario en el ámbito español surge ante la constatación de que un nuevo paradigma está aconteciendo a escala estatal. Diversos focos se encuentran trabajando en paralelo, y de forma participada, en pos de la reformulación de las políticas públicas relacionadas con la agricultura periurbana. Estos focos ven en la figura de Parque Agrario un instrumento territorial que permite mejorar la sostenibilidad y cohesión territorial a través de la defensa de la gobernanza alimentaria local, sin olvidar la necesidad de conservación de los recursos naturales y el patrimonio paisajístico, junto a la prestación de múltiples servicios de los ecosistemas de estos ámbitos a la ciudadanía. Complementariamente, se empieza a vislumbrar el papel que esta figura puede desempeñar como herramienta de desarrollo territorial de los sistemas agrarios periurbanos, clave ante los efectos de carácter local que la globalización ejerce en estos territorios. La figura de Parque Agrario es una estructura que actúa bloqueando la base territorial, favoreciendo el desarrollo de la actividad agraria. Su mayor potencial es el de convertir el factor “proximidad urbana” de una amenaza a una oportunidad de desarrollo local endógeno que permita la continuidad de la agricultura, de los agricultores y del espacio agrario. La peculiaridad del Parque Agrario es que no es una figura al uso, estructurada y reglada por una legislación, sino que se trata de una iniciativa ad hoc, específica para cada caso, orientada a cumplir determinados objetivos de dinamización agraria, protección urbanística y valorización territorial. A pesar de la existencia de diversas definiciones y aportaciones sobre diferentes aspectos de la figura, no existe un análisis complejo de la misma en todas sus dimensiones, ni una tentativa de descripción de un modelo global y unitario del caso español y de sus potenciales resultados. Tampoco se han analizado en profundidad sus “invariantes” que se muestran como los elementos estructurantes del proyecto, capaces desarrollarse de forma diversa, de alcanzar diferentes niveles de complejidad, y de materializarse en función a las posibilidades que permita el marco normativo y legal. Por tanto, se plantea como objetivo principal de la tesis la definición de un modelo conceptual de Parque Agrario español, capaz de ser articulado e institucionalizado mediante un proceso de gobernanza, y que, como condición sine qua non sea duradero en el tiempo. Para poder llegar a describir un modelo colectivo se realiza, en primer lugar, un análisis genealógico que permita analizar sistemáticamente las propuestas desarrolladas en el ámbito español y los casos para establecer la existencia de una continuidad en la idea de Parque Agrario en las propuestas desarrolladas durante los últimos 25 años—sus invariantes—, y analice todos aquellos elementos que han ido enriqueciendo la figura en cada experiencia —sus variantes. Este análisis, además, ofrece como aportaciones el árbol genealógico y los mapas de dispersión de la figura y el primer catálogo de propuestas de Parque Agrario materializadas en proyecto. El resultado de la inducción de los datos obtenidos en el análisis genealógico es el modelo conceptual de Parque Agrario, que se define como una estructura orgánica de planificación-gestión-gobierno del territorio capaz de adaptarse a las necesidades específicas de todo sistema agrario periurbano que requiera la articulación-institucionalización de esta figura en él. Una vez descrito el modelo, se contrasta su fiabilidad mediante su aplicación como metodología de caracterización y evaluación de dos estudios de casos: uno exitoso, el Parque Agrario del Baix Llobregat, y uno frustrado, la propuesta de Parque Agrario de la Vega de Granada. ------------------------------------------------------ ABSTRACT -------------------------------------------------------------------- The proposed analysis of the figure of Agrarian Park in the Spanish sphere arises from the awareness that a new paradigm is happening at the state level. Different focuses are working in parallel, under participated programs, after the reformulation of public policies related to urban agriculture. These areas understand the figure of Agrarian Park as a territorial instrument for improving sustainability and territorial cohesion through the defense of local food governance, considering the need for conservation of natural resources and landscape heritage together with the multiple ecosystem services provided by these areas to the public. Additionally, the role that this figure can play as a tool for territorial development of peri-urban agrarian systems, which are key to the local effects that globalization has on these territories, is staring to be envisioned. The figure of Agrarian Park is a structure that works by blocking the territorial base to encourage the development of agrarian activity. Its greatest potential is to convert the threat of "urban proximity" into an opportunity for an endogenous local development that allows the persistence of agriculture, farmers and the agrarian space. The uniqueness of the Agrarian Park is that it is not a standard figure, structured and regulated by legislation, but rather an ad hoc initiative, specific to each case, designed to meet certain objectives of agrarian revitalization, urban protection and territorial enhance. Despite the existence of several definitions and contributions on different aspects of the figure, there is a lack of a complex analysis of it in all its dimensions, missing any attempt to describe a global and unitary model of the Spanish case and its potential outcomes. Its "invariants” have neither been evaluated in depth, shown as the structural elements of the project able to be developed in different ways, to achieve numerous levels of complexity, and to be materialized according to the possibilities allowed by the regulatory and legal framework. Therefore, the definition of a conceptual model of Spanish Agrarian Park able to be articulated and institutionalized through a process of governance, and durable over time as a sine qua non requisite, it is proposed as the main aim of the thesis. To get to describe a collective model, a genealogical analysis that systematically analyzes the proposals and cases developed in the Spanish field is undertaken to verify the existence of a continuity of the idea of Agrarian Park on the proposals developed during the past 25 years -invariants-, and evaluate all the elements that have enriched this figure in each experience - variants. This analysis also provides as inputs a family tree, maps of dispersion of the figure and the first catalog of Agrarian Park proposals materialized into projects. The result of inducting the data obtained in the genealogical analysis is the Conceptual Model of Agrarian Park, defined as an organic planning-management-government structure of the territory able to adapt to the specific needs of all peri-urban agrarian systems that require the articulation-institutionalization of this figure in it. Having described the model, its reliability is tested by applying it as a methodology for characterization and evaluation of two case studies, one successful, the Baix Llobregat Agrarian Park, and one frustrated, the proposed Agrarian Park de la Vega of Granada.