Proposal for the Management of temporal and semantic components of Geographic Information

This poster raises the issue of a research work oriented to the storage, retrieval, representation and analysis of dynamic GI, taking into account The ultimate objective is the modelling and representation of the dynamic nature of geographic features, establishing mechanisms to store geometries enriched with a temporal structure (regardless of space) and a set of semantic descriptors detailing and clarifying the nature of the represented features and their temporality. the semantic, the temporal and the spatiotemporal components. We intend to define a set of methods, rules and restrictions for the adequate integration of these components into the primary elements of the GI: theme, location, time [1]. We intend to establish and incorporate three new structures (layers) into the core of data storage by using mark-up languages: a semantictemporal structure, a geosemantic structure, and an incremental spatiotemporal structure. Thus, data would be provided with the capability of pinpointing and expressing their own basic and temporal characteristics, enabling them to interact each other according to their context, and their time and meaning relationships that could be eventually established

Managing Industrial Simulator Visual Databases Using Geographic Information Systems

Geographic Information Systems are developed to handle enormous volumes of data and are equipped with numerous functionalities intended to capture, store, edit, organise, process and analyse or represent the geographically referenced information. On the other hand, industrial simulators for driver training are real-time applications that require a virtual environment, either geospecific, geogeneric or a combination of the two, over which the simulation programs will be run. In the final instance, this environment constitutes a geographic location with its specific characteristics of geometry, appearance, functionality, topography, etc. The set of elements that enables the virtual simulation environment to be created and in which the simulator user can move, is usually called the Visual Database (VDB). The main idea behind the work being developed approaches a topic that is of major interest in the field of industrial training simulators, which is the problem of analysing, structuring and describing the virtual environments to be used in large driving simulators. This paper sets out a methodology that uses the capabilities and benefits of Geographic Information Systems for organising, optimising and managing the visual Database of the simulator and for generally enhancing the quality and performance of the simulator.

Proposal for the Management of temporal and semantic components of Geographic Information

This poster raises the issue of a research work oriented to the storage, retrieval, representation and analysis of dynamic GI, taking into account the semantic, the temporal and the spatiotemporal components. We intend to define a set of methods, rules and restrictions for the adequate integration of these components into the primary elements of the GI: theme, location, time [1]. We intend to establish and incorporate three new structures (layers) into the core of data storage by using mark-up languages: a semantictemporal structure, a geosemantic structure, and an incremental spatiotemporal structure. The ultimate objective is the modelling and representation of the dynamic nature of geographic features, establishing mechanisms to store geometries enriched with a temporal structure (regardless of space) and a set of semantic descriptors detailing and clarifying the nature of the represented features and their temporality. Thus, data would be provided with the capability of pinpointing and expressing their own basic and temporal characteristics, enabling them to interact each other according to their context, and their time and meaning relationships that could be eventually established

Integration of temporal and semantic components into the Geographic Information. Part II: Methodology

The overall objective of this research project is to enrich geographic data with temporal and semantic components in order to significantly improve spatio-temporal analysis of geographic phenomena. To achieve this goal, we intend to establish and incorporate three new layers (structures) into the core of the Geographic Information by using mark-up languages as well as defining a set of methods and tools for enriching the system to make it able to retrieve and exploit such layers (semantic-temporal, geosemantic, and incremental spatio-temporal). Besides these layers, we also propose a set of models (temporal and spatial) and two semantic engines that make the most of the enriched geographic data. The roots of the project and its definition have been previously presented in Siabato & Manso-Callejo 2011. In this new position paper, we extend such work by delineating clearly the methodology and the foundations on which we will base to define the main components of this research: the spatial model, the temporal model, the semantic layers, and the semantic engines. By putting together the former paper and this new work we try to present a comprehensive description of the whole process, from pinpointing the basic problem to describing and assessing the solution. In this new article we just mention the methods and the background to describe how we intend to define the components and integrate them into the GI.

Assessment of Underground Wine Cellars Using Geographic Information Technologies

Geographic information technologies (GIT) are essential to many fields of research, such as the preservation and dissemination of cultural heritage buildings, a category which includes traditional underground wine cellars. This article presents a methodology based on research carried out on this type of rural heritage building. The data were acquired using the following sensors: EDM, total station, close-range photogrammetry and laser scanning, and subsequently processed with a specific software which was verified for each case, in order to obtain a satisfactory graphic representation of these underground wine cellars. Two key aspects of this work are the accuracy of the data processing and the visualization of these traditional constructions. The methodology includes an application for geovisualizing these traditional constructions on mobile devices in order to contribute to raising awareness of this unique heritage.

The use of geographic information systems for the optimal location of biomass power plants in the Madrid Community (Spain)

This article has been extracted from the results of a thesis entitled “Potential bioelectricity production of the Madrid Community Agricultural Regions based on rye and triticale biomass.” The aim was, first, to quantify the potential of rye (Secale Cereale L.) and triticale ( Triticosecale Aestivum L.) biomass in each of the Madrid Community agricultural regions, and second, to locate the most suitable areas for the installation of power plants using biomass. At least 17,339.9 t d.m. of rye and triticale would be required to satisfy the biomass needs of a 2.2 MW power plant, (considering an efficiency of 21.5%, 8,000 expected operating hours/year and a biomass LCP of 4,060 kcal/kg for both crops), and 2,577 ha would be used (which represent 2.79% of the Madrid Community fallow dry land surface). Biomass yields that could be achieved in Madrid Community using 50% of the fallow dry land surface (46,150 ha representing 5.75% of the Community area), based on rye and triticale crops, are estimated at 84,855, 74,906, 70,109, 50,791, 13,481, and 943 t annually for the Campiña, Vegas, Sur Occidental, Área Metropolitana, Lozoya-Somosierra, and Guadarrama regions. The latter represents a bioelectricity potential of 10.77, 9.5, 8.9, 6.44, 1.71, and 0.12 MW, respectively.

Análisis de las Observaciones sub-hora de la Radiación Solar registrada por las Estaciones Meteorológicas Voluntarias de la red MeteoClimatic

Enriquecer el conocimiento sobre la Radiación Solar (RS) a nivel del suelo es de gran interés para diferentes aplicaciones meteorológicas entre ellas el área de las energías renovables como la energía solar. La interpolación de observaciones de RS por estaciones en tierra, los sensores remotos y la ejecución de distintos modelos son algunas de las formas que existen para obtener valores de RS con continuidad espacial en el terreno. Aunque se sabe que los mejores valores de RS en la superficie son los observados por estaciones terrestres, este tipo de observaciones presentan como desventaja una baja distribución geográfica. En este trabajo se propone el uso de estaciones meteorológicas de voluntarios no oficiales (Meteoclimatic, Weather, Underground, Weather, Link, CWOP) las cuales son fuentes de Información Geográfica por Voluntarios (Volunteered Geographic Information - VGI) que proporcionan sus observaciones RS en tiempo real a través de Internet como una alternativa para densificar la disponibilidad y distribución espacial de las observaciones por RS a nivel superficial. En este trabajo se desarrolla una metodología que contempla tanto la recolección de las observaciones, como su alineación temporal para finalizar con el análisis de los datos indicando sus valores de incertidumbre a medida que se integra en una Base de Datos que integra las distintas fuentes de datos utilizadas. Los resultados indican que el error RS relativo entre las estimaciones por satélite y las observaciones en superficie no es constante a lo largo del día y por tanto debe analizarse mediante agrupaciones. También se ha observado que dicho error puede verse afectado por la localización de la estación meteorológica, en concreto se ha apreciado una relación directa entre el error relativo y la diferencia entre las longitudes de la ubicación de las estaciones superficiales en tierra y el satélite. Ésta misma comparación siguiere que es correcto considerar el uso de Meteoclimatic (la red Voluntaria tomada como piloto) como una fuente de observaciones de la RS importante al presentar un error esperado y aportar aproximadamente 10 veces más estaciones meteorológicas RS que la red oficial en España aportando un buen precedente para la integración de más redes voluntarias en la densificación de observaciones de la RS con estaciones en tierra.

Ushahidi

Resumen Ushahidi es el programa africano de mayor difusión mundial, que permite mapear información vital, desde el punto de vista social, en zonas de catástrofe o de conflicto. Originalmente concebida para reunir las múltiples denuncias de fraude en relación a las elecciones kenianas, ha sido utilizada posteriormente en todo el mundo en centenares de situaciones diversas, generalmente relacionadas con situaciones de amenazas, crisis, ayuda humanitaria, etc. Este artículo presenta el fenómeno Ushahidi y sus aplicaciones, a fin de entender su alcance y sus posibles repercusiones. También se introducen temas de gran interés para el desarrollo humano como el Crowdsourcing, la GeoWeb, la Neogeografía y la Información Geográfica Voluntaria, dada su estrecha relación con el objeto del trabajo. Abstract Ushahidi is the African program of global outreach greater, which allows to map vital information from the social point of view, in areas of disaster or conflict. Originally designed to meet the multiple allegations of fraud in relation to the Kenyan elections, has since been used worldwide in hundreds of different situations, usually related to situations of threat, crisis, humanitarian aid, etc. This paper presents the Ushahidi phenomenon and its applications, in order to understand its scope and possible implications. Topics of great interest to human development, as Crowdsourcing, the GeoWeb, the Neogeography and Volunteered Geographic Information, given its close relationship with the object of labor are also introduced.

Aeronautical Information Geoservices

Aeronautical charts underlie the representation of aeronautic geographic information that supports pilots in flight. Nevertheless, charts become complex due to the high density of data and the different kinds that support each phase of flight. These features make difficult using them on board. After conducting a study that aims to understand and to evaluate pilot’s needs related to Geographic Information, it is proposed a solution to implement a platform based on geographic information standards (OGC, ISO) and supported by a distributed Web architecture. This platform facilitates the use, retrieval, updating of information and its exchange among different institutions through private and public users. As a first element to ensure interoperability and the harmonisation of information, we propose an aeronautical metadata profile that sets guidelines and elements for its description. This profile meets the standards set by ICAO, Eurocontrol and ISO. The platform offers three levels of access to data through different types of devices and user profiles. This paper suggests an alternative and reliable way for distributing aeronautical geoinformation, focusing on specific functions or displaying and querying.

Tomas Lopez's Geographic Atlas of Spain (1787) and its Hydrographic Network: GIS analysis of the Reyno de Jaen

Knowledge of the development of hydrographic networks can be useful for a number of research works in hydraulic engineering. We thus, intend to analyse the cartography regarding the first work that systematically encompasses the entire hydrographic network: Tomas Lopez’s Geographic Atlas of Spain (1787). In order to achieve this goal, we will first analyze –by way of the Geographic Information System (GIS) – both the present and referred historical cartographies. In comparing them, we will use the then-existing population centres that correspond to modern ones. The aim is to compare the following research variables in the hydrographic network: former toponyms, length of riverbeds and distance to population centres. The results of this study will show the variation in the riverbeds and the probable change in their denomination.

Integrating geographical information in the Linked Digital Earth

Many progresses have been made since the Digital Earth notion was envisioned thirteen years ago. However, the mechanism for integrating geographic information into the Digital Earth is still quite limited. In this context, we have developed a process to generate, integrate and publish geospatial Linked Data from several Spanish National data-sets. These data-sets are related to four Infrastructure for Spatial Information in the European Community (INSPIRE) themes, specifically with Administrative units, Hydrography, Statistical units, and Meteorology. Our main goal is to combine different sources (heterogeneous, multidisciplinary, multitemporal, multiresolution, and multilingual) using Linked Data principles. This goal allows the overcoming of current problems of information integration and driving geographical information toward the next decade scenario, that is, ?Linked Digital Earth.?