Mejora de la movilidad urbana sostenible en el municipio de Madrid : aplicación del análisis geoespacial en la ampliación de la red de suministro de combustibles alternativos.

Este Trabajo Fin de Grado trata de dar respuesta a un problema de movilidad sostenible en el municipio de Madrid. Mediante las herramientas de análisis geoespacial de los Sistemas de Información Geográfica (SIG) se buscan soluciones para la ampliación de la red de estaciones de suministro de combustibles alternativos como el Gas Licuado de Petróleo (GLP), Gas Natural Comprimido (GNC) y electricidad. Los resultados obtenidos determinan las posibles ubicaciones de los nuevos puntos atendiendo a criterios específicos según el tipo de combustible. Estas soluciones procuran que se alcancen las medidas impuestas por las directivas europeas en la materia de las Smart Cities. Además, con este Trabajo se muestran las capacidades de gestión de los SIG en el ámbito urbano y sus posibles aplicaciones. ABSTRACT: This Final Project answers the problem of sustainable mobility in the city of Madrid. By means of geospatial analysis tools of Geographic Information Systems (GIS) solutions are searched to extend the supply stations network for alternative fuels like Liquefied Petroleum Gas (LPG), Compressed Natural Gas (CNG) and electricity. The final results are the best possible locations of new items according to specific criteria depending on the type of fuel. These solutions seek to the measures imposed by the European directives are reached in the field of Smart Cities. In addition, This Final Project shows management capabilities of GIS in urban areas and their possible application.

Fragmentação florestal e prioridades para a conservação da biodiversidade

Um modelo dedicado ao planejamento da conservação e restauração de habitats deve incluir informações estratégicas para assegurar a eficácia e de fácil obtenção, para assegurar a agilidade necessária. Planos e estratégias para conservação usualmente são complexos e demandam informações detalhadas, difíceis de se obter, como inventários biológicos e certos tipos de mapeamento, o que traz limitações em termos de disponibilidade, qualidade e custo das informações. Assim, procurou-se testar a eficiência de métodos simples para a seleção, em escala local, de áreas prioritárias para conservação de habitats fortemente fragmentados e reduzidos, uma situação comum no sul do Brasil, usando dados de imagens LANDSAT e planos de informações disponíveis em mapeamentos comuns, e trabalho de campo. Inicialmente analisou-se a estrutura da paisagem e o padrão de fragmentação em parte da região norte do estado do Paraná, e testar se tamanho e forma são adequados para selecionar os fragmentos florestais mais importantes para a conservação, ou seja, as que contribuem para manter maior quantidade e melhor qualidade de habitats, bem como tenham maior impacto (positivo) na conectividade e em outras variáveis da paisagem. Os resultados mostram que a floresta madura cobre cerca de 3% da paisagem, e a cobertura florestal total atinge perto de 8%, consistindo principalmente de pequenos fragmentos (82% tem entre 1 e 10 ha). Fragmentos grandes (>100 ha) são apenas 1,4% dos remanescentes, mas somam 34% da área de floresta. Apesar de estarem sujeitos a efeitos de borda em toda ou quase toda a sua área, fragmentos pequenos mostraram ter um papel importante na conectividade da paisagem. Numa área maior, foi feita uma pré-seleção de áreas com potencial para estabelecimento de redes de conservação. A pré-seleção procurou responder às seguintes perguntas: 1-Quais são os sítios com maior potencial para a conservação da biodiversidade? 2-Quais são os sítios sob maior risco para objetivos de conservação? e 3-Quais sítios têm melhores oportunidades para o estabelecimento de zonas de conservação de uso múltiplo? Foi identificado um conjunto de 11 fragmentos pertencendo a 5 sub-regiões, sofrendo variados graus de pressão antrópica. Adicionalmente, usando medidas simples de estrutura da paisagem, relacionadas com tamanho, forma e conectividade dos fragmentos, procurou-se identificar tipos estruturais de fragmentos, como uma forma alternativa para auxiliar o estabelecimento de prioridades para conservação a partir do seu papel, efetivo ou potencial, na paisagem. Foram identificados 5 tipos de fragmentos, pequenos (ilhotas isoladas, trampolins), médios (núcleos auxiliares e corredores) e grandes (núcleos principais), que podem ser usados para subsidiar estratégias de conservação. Utilizando informações sobre a estrutura da paisagem, hidrografia e legislação ambiental, propõe-se aqui uma estratégia de conservação para o complexo das bacias dos ribeirões Apertados-Três Bocas (CATB), ordenando atividades de restauração e conservação de fragmentos florestais, criação e expansão de unidades de conservação, além da proposição de formas de uso do solo compatíveis com o entorno de unidades de conservação.

Estudo prospectivo visando o uso de sistemas agroflorestais no município de São Carlos, SP

A crescente demanda por recursos naturais e a conseqüente perda de qualidade e quantidade dos mesmos, indica a necessidade do desenvolvimento de alternativas, nas diversas áreas do conhecimento e das atividades humanas. No caso dos agroecossistemas, as práticas convencionais provocaram ao longo do tempo a degradação do solo e dos recursos hídricos, a perda da biodiversidade e a desestruturação dos ecossistemas, que culminaram em desequilíbrios globais de balanço hídrico e temperatura. O presente estudo visa analisar o potencial de utilização de Sistemas Agroflorestais (SAFs). SAFs são práticas de manejo da terra há muito tempo conhecidas, que associam, deliberadamente, árvores com culturas agrícolas temporárias, permanentes e/ou animais simultaneamente ou sucedendo-se temporalmente no espaço; obtendo os benefícios de proteção ambiental e de produção proporcionados pelas árvores. Para a realização do estudo foram utilizadas as bases cartográficas digitalizadas das características ambientais (solo, topografia, hidrologia e clima) do município e as mesmas foram sobrepostas através do Sistema de Informação Geográfica (SIG). As características ambientais de São Carlos, indicam a necessidade da adoção de sistemas de produção sustentáveis, capazes de conservar a qualidade e a quantidade do solo e dos recursos hídricos disponíveis, bem como sua biodiversidade, por isso apresenta grande aptidão para a utilização dos SAFs e uma ampla variedade de espécies com potencial de uso. A prioridade de adoção de SAFs é para áreas degradadas e subutilizadas, áreas de preservação ambiental e adjacentes, reservas legais e áreas suscetíveis à erosão. Sugere-se novos estudos, em campo, para comprovação dos resultados teóricos obtidos.

A model driven framework for geographic knowledge discovery

Geographic knowledge discovery (GKD) is the process of extracting information and knowledge from massive georeferenced databases. Usually the process is accomplished by two different systems, the Geographic Information Systems (GIS) and the data mining engines. However, the development of those systems is a complex task due to it does not follow a systematic, integrated and standard methodology. To overcome these pitfalls, in this paper, we propose a modeling framework that addresses the development of the different parts of a multilayer GKD process. The main advantages of our framework are that: (i) it reduces the design effort, (ii) it improves quality systems obtained, (iii) it is independent of platforms, (iv) it facilitates the use of data mining techniques on geo-referenced data, and finally, (v) it ameliorates the communication between different users.

Plan de restauración y conservación del humedal urbano de Calpe, Alicante (SE España)

Este estudio pretende profundizar en el conocimiento sobre el funcionamiento de pequeños humedales mediterráneos, en estado de degradación, que, por razones históricas y socioeconómicas, han quedado confinados en un espacio urbano, olvidando la importancia ambiental de estas anomalías hídricas positivas en espacios sometidos a déficit hídrico. Este tipo de humedales, como el de Calpe (Alicante), suelen localizarse en áreas costeras de alta densidad urbana, lo que supone un importante valor añadido desde la ordenación y gestión territorial, ya que contribuyen a mantener la conectividad ambiental a una escala mucho más amplia, funcionando como auténticos reservorios de biodiversidad. Así, se ha llevado a cabo una aproximación holística, analizando el estado actual de la lámina de agua y del espacio circundante, donde se han incluido parámetros del medio físico, del medio biótico y los usos del suelo. Para ello se han combinado técnicas de muestreo de campo con el uso de GPS y sistemas de información geográfica (SIG). Una vez detectadas las amenazas, y estudiado el potencial ecológico del humedal, se ha desarrollado un plan de restauración y conservación de la zona con la pretensión de implicar a la población local para devolver a este espacio el protagonismo que merece. En definitiva, se pretende proporcionar las herramientas teóricas y técnicas necesarias para garantizar la conservación y gestión sostenible de los humedales costeros urbanos y sus recursos naturales.

Los SIG en el contexto del medio marino en la Región de Murcia

La aplicación de los Sistemas de Información Geográfica (SIG) se ha extendido en el mundo científico-técnico, donde se ha convertido en un instrumento de análisis y almacenamiento de información imprescindible. El uso de los SIG abarca casi cualquier aplicación en la que haya una componente espacial, como usos militares, aplicaciones en infraestructuras, planificación territorial, etc. En el medio marino se pueden aplicar para teledetección, cartografía digital, geoestadística, análisis y modelación espacial, Infraestructuras de Datos Espaciales (IDE), visores web, etc. En 1988, la Región de Murcia impulsó el proyecto de cartografía binómica del litoral murciano, siendo un instrumento que ha ido actualizándose hasta nuestros días. En comparación con otras regiones mediterráneas españolas, el litoral murciano es el tramo del litoral mediterráneo con la información cartográfica más completa y precisa, además del SIG marino más avanzado. Son numerosos los trabajos y aplicaciones en los que se ha utilizado como base la cartografía y los datos asociados, como la Red Natura 2000, ‘Programa de gestión integrada del litoral del Mar Menor y su zona de influencia’, caracterización ambiental para la propuesta de Reservas Marinas, diagnóstico medioambiental, etc.

Evolution of thermokarst in East Siberian ice-rich permafrost

Thermokarst lakes and basins are major components of ice-rich permafrost landscapes in East Siberian coastal lowlands and are regarded as indicators of regional climatic changes. We investigate the temporal and spatial dynamics of a 7.5 km**2, partly drained thermokarst basin (alas) using field investigations, remote sensing, Geographic Information Systems (GIS), and sediment analyses. The evolution of the thermokarst basin proceeded in two phases. The first phase started at the Pleistocene/Holocene transition (13 to 12 ka BP) with the initiation of a primary thermokarst lake on the Ice Complex surface. The lake expanded and persisted throughout the early Holocene before it drained abruptly about 5.7 ka BP, thereby creating a > 20 m deep alas with residual lakes. The second phase (5.7 ka BP to present) is characterized by alternating stages of lower and higher thermokarst intensity within the alas that were mainly controlled by local hydrological and relief conditions and accompanied by permafrost aggradation and degradation. It included diverse concurrent processes like lake expansion and stepwise drainage, polygonal ice-wedge growth, and the formation of drainage channels and a pingo, which occurred in different parts of the alas. This more dynamic thermokarst evolution resulted in a complex modern thermokarst landscape. However, on the regional scale, the changes during the second evolutionary phase after drainage of the initial thermokarst lakes were less intense than the early Holocene extensive thermokarst development in East Siberian coastal lowlands as a result of a significant regional change to warmer and wetter climate conditions.

Public Land for Affordable Housing: An Evaluation of a HALA Proposal in Seattle

Thesis (Master's)--University of Washington, 2016-06

Simulation modelling applied to runoff modelling using mapscript

Dynamic spatial analysis addresses computational aspects of space–time processing. This paper describes the development of a spatial analysis tool and modelling framework that together offer a solution for simulating landscape processes. A better approach to integrating landscape spatial analysis with Geographical Information Systems is advocated in this paper. Enhancements include special spatial operators and map algebra language constructs to handle dispersal and advective flows over landscape surfaces. These functional components to landscape modelling are developed in a modular way and are linked together in a modelling framework that performs dynamic simulation. The concepts and modelling framework are demonstrated using a hydrological modelling example. The approach provides a modelling environment for scientists and land resource managers to write and to visualize spatial process models with ease.

Expansion-based algorithms for finding single pair shortest path on surface

Finding single pair shortest paths on surface is a fundamental problem in various domains, like Geographic Information Systems (GIS) 3D applications, robotic path planning system, and surface nearest neighbor query in spatial database, etc. Currently, to solve the problem, existing algorithms must traverse the entire polyhedral surface. With the rapid advance in areas like Global Positioning System (CPS), Computer Aided Design (CAD) systems and laser range scanner, surface models axe becoming more and more complex. It is not uncommon that a surface model contains millions of polygons. The single pair shortest path problem is getting harder and harder to solve. Based on the observation that the single pair shortest path is in the locality, we propose in this paper efficient methods by excluding part of the surface model without considering them in the search process. Three novel expansion-based algorithms are proposed, namely, Naive algorithm, Rectangle-based Algorithm and Ellipse-based Algorithm. Each algorithm uses a two-step approach to find the shortest path. (1) compute an initial local path. (2) use the value of this initial path to select a search region, in which the global shortest path exists. The search process terminates once the global optimum criteria are satisfied. By reducing the searching region, the performance is improved dramatically in most cases.

Comparing transport emissions and impacts for energy recovery from domestic waste (EfW): centralised and distributed disposal options for two UK Counties

Many local authorities (LAs) are currently working to reduce both greenhouse gas emissions and the amount of municipal solid waste (MSW) sent to landfill. The recovery of energy from waste (EfW) can assist in meeting both of these objectives. The choice of an EfW policy combines spatial and non-spatial decisions which may be handled using Multi-Criteria Analysis (MCA) and Geographic Information Systems (GIS). This paper addresses the impact of transporting MSW to EfW facilities, analysed as part of a larger decision support system designed to make an overall policy assessment of centralised (large-scale) and distributed (local-scale) approaches. Custom-written ArcMap extensions are used to compare centralised versus distributed approaches, using shortest-path routing based on expected road speed. Results are intersected with 1-kilometre grids and census geographies for meaningful maps of cumulative impact. Case studies are described for two counties in the United Kingdom (UK); Cornwall and Warwickshire. For both case study areas, centralised scenarios generate more traffic, fuel costs and emitted carbon per tonne of MSW processed.

Classification and contextual enhancement of remotely sensed data

The aims of the project were twofold: 1) To investigate classification procedures for remotely sensed digital data, in order to develop modifications to existing algorithms and propose novel classification procedures; and 2) To investigate and develop algorithms for contextual enhancement of classified imagery in order to increase classification accuracy. The following classifiers were examined: box, decision tree, minimum distance, maximum likelihood. In addition to these the following algorithms were developed during the course of the research: deviant distance, look up table and an automated decision tree classifier using expert systems technology. Clustering techniques for unsupervised classification were also investigated. Contextual enhancements investigated were: mode filters, small area replacement and Wharton's CONAN algorithm. Additionally methods for noise and edge based declassification and contextual reclassification, non-probabilitic relaxation and relaxation based on Markov chain theory were developed. The advantages of per-field classifiers and Geographical Information Systems were investigated. The conclusions presented suggest suitable combinations of classifier and contextual enhancement, given user accuracy requirements and time constraints. These were then tested for validity using a different data set. A brief examination of the utility of the recommended contextual algorithms for reducing the effects of data noise was also carried out.

Planning and decision-making for energy recovery from waste at the sub-regional level

This research project has developed a novel decision support system using Geographical Information Systems and Multi Criteria Decision Analysis and used it to develop and evaluate energy-from-waste policy options. The system was validated by applying it to the UK administrative areas of Cornwall and Warwickshire. Different strategies have been defined by the size and number of the facilities, as well as the technology chosen. Using sensitivity on the results from the decision support system, it was found that key decision criteria included those affected by cost, energy efficiency, transport impacts and air/dioxin emissions. The conclusions of this work are that distributed small-scale energy-from-waste facilities score most highly overall and that scale is more important than technology design in determining overall policy impact. This project makes its primary contribution to energy-from-waste planning by its development of a Decision Support System that can be used to assist waste disposal authorities to identify preferred energy-from-waste options that have been tailored specifically to the socio-geographic characteristics of their jurisdictional areas. The project also highlights the potential of energy-from-waste policies that are seldom given enough attention to in the UK, namely those of a smaller-scale and distributed nature that often have technology designed specifically to cater for this market.

Re-imagining Yerevan in the post-Soviet era: Urban symbolism and narratives of the nation in the landscape of Armenia's capital

The urban landscape of Yerevan has experienced tremendous changes since the collapse of the Soviet Union and Armenia’s independence in 1991. Domestic and foreign investments have poured into Yerevan’s building sector, converting many downtown neighborhoods into sleek modern districts that now cater to foreign investors, tourists, and the newly rich Armenian nationals. Large portions of the city’s green parks and other public spaces have been commercialized for private and exclusive use, creating zones that are accessible only to the affluent. In this dissertation I explore the rapidly transforming landscape of Yerevan and its connections to the development of contemporary Armenian national identity. This research was guided by principles of ethnographic inquiry, and I employed diverse methods, including document and archival research, structured and semi-structured interviews and content analysis of news media. I also used geographic information systems (GIS) and satellite images to represent and visualize the stark transformations of spaces in Yerevan. Informed by and contributing to three literatures—on the relationship between landscape and identity formation, on the construction of national identity, and on Soviet and post-Soviet cities—this dissertation investigates how messages about contemporary Armenian national identity are being expressed via the transforming landscape of Armenia’s national capital. In it I describe the ways in which abrupt transformations have resulted in the physical and symbolic eviction of residents, introducing fierce public debates about belonging and exclusion within the changing urban context. I demonstrate that the new additions to Yerevan’s landscape and the symbolic messages that they carry are hotly contested by many long-time residents, who struggle for inclusion of their opinions and interests in the process of re-imagining their national capital. This dissertation illustrates many of the trends that are apparent in post-Soviet and post-Socialist space, while at the same time exposing some unique characteristics of the Armenian case.