Metodología para deducir relaciones de linaje en el Catastro de España

En España, los datos catastrales de acceso público, obtenidos a través de la Sede Electrónica del Catastro (SEC), no incluyen información sobre la genealogía o las relaciones de linaje existente entre las parcelas, de forma que la gestión de la información histórica es muy limitada. Este artículo presenta un método para obtener las relaciones de linaje más frecuentes entre las parcelas (agregación y segregación) y propone un prototipo de estructura relacional para el almacenamiento y la gestión histórica de los datos catastrales de acceso público. El proceso de análisis para deducir el linaje se basa en superposiciones espacio-temporales junto con secuencias de sentencias SQL. El método proporciona un 70% de relaciones de agregación y segregación correctas; el resto presentan errores debidos, en general, a anomalías presentes en los propios datos catastrales

Towards Mapping Experience Design for the Internet of Things.

We are witnessing a fundamental transformation in how Internet of Things (IoT) is having an impact on the experience users have with data-driven devices, smart appliances, and connected products. The experience of any place is commonly defined as the result of a series of user engagements with a surrounding place in order to carry out daily activities (Golledge, 2002). Knowing about users? experiences becomes vital to the process of designing a map. In the near future, a user will be able to interact directly with any IoT device placed in his surrounding place and very little is known on what kinds of interactions and experiences a map might offer (Roth, 2015). The main challenge is to develop an experience design process to devise maps capable of supporting different user experience dimensions such as cognitive, sensory-physical, affective, and social (Tussyadiah and Zach, 2012). For example, in a smart city of the future, the IoT devices allowing a multimodal interaction with a map could help tourists in the assimilation of their knowledge about points of interest (cognitive experience), their association of sounds and smells to these places (sensory-physical experience), their emotional connection to them (affective experience) and their relationships with other nearby tourists (social experience). This paper aims to describe a conceptual framework for developing a Mapping Experience Design (MXD) process for building maps for smart connected places of the future. Our MXD process is focussed on the cognitive dimension of an experience in which a person perceives a place as a "living entity" that uses and feeds through his experiences. We want to help people to undergo a meaningful experience of a place through mapping what is being communicated during their interactions with the IoT devices situated in this place. Our purpose is to understand how maps can support a person?s experience in making better decisions in real-time

Creating story maps for learning purposes: The Black Death Atlas

In the current technological context new forms of mapmaking emerge. An increasingly common one produces story maps, maps that are shown with synchronized explanatory text, to visualize events in a spatial context. Story maps could be defined as the explicit display of such spatial and temporal landmarks on the grounds that a story is constructed. In this paper we present a story map oriented to pedagogical purposes. We have compiled an atlas displaying the expansion of the Black Death in Europe between 1346 and 1347, when the largest epidemic outbreak in the History of Europe ravaged the continent. To depict this event, we have used CartoDB, Odyssey and some other Web interactive tools to create eight interactive story maps gathered in an online atlas. The work was made in the frame of an end-of-degree Project (Geomatics Engineering, in Universidad Politécnica de Madrid). By now, it can be found in: http://clarar92.wix.com/atlasdelapestenegr

Diseño de un curso de e-learning en cartografía temática

Los grandes avances en las nuevas tecnologías, evidentes en materias técnicas y científicas, repercuten también en campos menos visibles para los profesionales de la topografía y cartografía. La educación también se ve afectada y, como consecuencia de ello, surgen nuevas modalidades de enseñanza como el e-learning. Su potencial es incuestionable, pues rompe con barreras espaciales y temporales. Sin embargo, plantear cursos de este tipo no está exento de dificultades, pues exige una adaptación a las particularidades del medio y establecer un nuevo modelo de enseñanza-aprendizaje. En esta exposición se presentan las consideraciones realizadas por la Universidad Politécnica de Madrid en el diseño de un curso e-learning de Cartografía Temática ofrecido por el Instituto Geográfico Nacional, incidiendo en las ventajas de aplicar estándares en la gestión de contenidos y el uso de plataformas educativas virtuales que los acepten

Caracterización de la vulnerabilidad paisajística de un entorno natural. Aplicación en el Valle del Ambroz, municipio de Hervás

Current studies of landscape vulnerability estimate the quality and fragility of the landscape using spatial analysis tools for evaluation and metric analysis, characterizing ecological aspects, aesthetic and assessing the vegetation as a crucial element of the landscape. In this way, this article presents a landscape characterization methodology, analyzing both, natural and non-natural elements, and assessing them through two numeric scales, a suitability scale and a maintenance scale, identifying which elements fragment more or less the landscape and the natural environment and which areas of the natural environment should be remodeled regarding landscape. The results of this type of research can be used in different levels of governance: First, municipalities are able to identify the most conflictive elements present in the area under study; and second, from the identification of those more or less vulnerable areas, Autonomous Communities can use this information to draw up Management Plans for Natural Resources.Los estudios actuales de evaluación paisajística estiman la calidad y fragilidad del paisaje, empleando herramientas de análisis espacial para su valoración, caracterizando aspectos tanto ecológicos como estéticos y valorando óptimamente la vegetación como elemento crucial del paisaje. En esta línea, la presente investigación desarrolla una metodología de caracterización paisajística, diferenciando los elementos naturales y no naturales que lo conforman y valorándolos a través de dos escalas numéricas, una escala de adecuación y una escala de conservación, identificando qué elementos vulneran más o menos al paisaje y qué zonas del entorno natural deben ser remodeladas paisajísticamente. El resultado de este tipo de investigaciones puede ser utilizado por diferentes niveles de gestión pública: en primer lugar, los ayuntamientos pueden identificar cuáles son los elementos más conflictivos que presenta el área de estudio y, en segundo lugar, las comunidades autónomas podrían incluir esta información en los Planes de Ordenación de los Recursos Naturales

Using the Spatial Knowledge of Map Users to Personalize City Maps: A Case Study with Tourists in Madrid, Spain

The aim of personalized maps is to help individual users to read maps and focus on the most task-relevant information. Several approaches have been suggested to develop personalized maps for cities, but few consider the spatial knowledge of its users. We propose the design of “cognitively-aware” personalized maps, which take into account the previous experience of users in the city and how the urban space is configured in their minds. Our aim is to facilitate users’ mental links between maps and city places, stimulating users to recall features of the urban space and to assimilate new spatial knowledge. To achieve this goal, we propose the personalization of maps through a map design process based on user modeling and on inferring personalization guidelines from hand-drawn sketches of urban spaces. We applied this process in an experiment with tourists in Madrid, Spain. We categorized the participants into three types of tourists—“Guided”, “Explorer”, and “Conditioned”—according to individual and contextual factors that can influence their spatial knowledge of the city. We also extracted design guidelines from tourists’ sketches and developed map prototypes. The empirical results seem to be promising for developing personalized city maps that could be produced on-the-fly in the future