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The cadastral lineage refers to the parent-child bonds that occur amongst cadastral objects. In Spain, the official Direccion General del Catastro keeps a record of all the parcels as well as the changes affecting them along the time. Understanding the history of the plots requires studying thousands of cadastral records. However, no visualization tool for this purpose has been proposed yet. This paper explores some visualization techniques applied to the cadastral lineage of a study area. After assessing the results it was found that treemaps and network diagrams are useful to ease the interpretation of the cadastral lineage, although they need to complement each other, as used by temselves they may hide some important lineage relationships between objects.

This paper presents an enhanced method used to deliver the 50th percentile location uncertainty ellipse given by lightning locating systems for lightning flash density maps with very fine detail of about 100 m $\times100$ m (or less) over a vast land region spanning thousands of kilometers. Because it is founded on a rigorous mathematical method (without using convolution operators), this new technique for computing the probabilistic lightning density map coverage represents a significant improvement in terms of precision compared with other techniques identified in the literature. The technique was adapted from a method used to calculate the probability of debris collision for spacecraft, and is based on a probabilistic approach to lightning flash impact over a facility. As a proof of concept, a Java language algorithm was implemented. This algorithm was applied to a set of 11.34 million lightning flashes over the territory of Spain registered between 2003 and 2012, producing a lightning density map coverage with a cell size of 2 arcsecond (~60 m).

Earthquake risk assessment is probably the most effective tool for reducing adverse earthquake effects and for developing pre- and post-event planning actions. The related risk information (data and results) is of interest for persons with different backgrounds and interests, including scientists, emergency planners, decision makers and other stakeholders. Hence, it is important to ensure that this information is properly transferred to all persons involved in seismic risk, considering the nature of the information and the particular circumstances of the source and of the receiver of the information. Some experience-based recommendations about the parameters and the graphical representations that can be used to portray earthquake risk information to different types of audiences are presented in this work.

Cyber-Physical Systems (CPS) are set to radically transform the world we live in. Prototypes for very different domains have been reported, from Industry 4.0 to Ambient Intelligence and the Internet of Things. Several research works have shown the good performance of these systems, which could be useful for everyday living once they become commercial products. However, no complete application for cyber-physical devices has been reported yet. Thus, the large amount of benefits this new paradigm may push remains very difficult to envision by general society and companies. In any case, personalized services rank among the most direct and interesting applications for cyber-physical devices. So far, no work on this topic has been reported, but the implementation of this new generation of services is a key area for the advancement toward the CPS era. Therefore, in this paper we will explore the concept of cyber-physical personalized services and propose a first example of these new services based on cyber-physical sensors and a cyber-physical device: a smart table. Finally, in order to evaluate the performance of the proposed solution, we will carry out an experimental validation.

Recent developments in remote sensing are significantly contributing to exploration and data acquisition through improved efficiency and risk reduction. Unmanned Aerial Vehicles (UAV) are involved in a wide range of remote sensing applications, as they are rapid, efficient and flexible acquisition systems. They represent a valid alternative or a complementary solution to satellite or airborne sensors. Wireless Sensor Networks (WSN), on the other hand, have proliferated significantly in recent years thanks to their timely, cheap and extremely rich data acquisition capacity with respect to other acquisition systems. This paper analyzes current state of the art in UAV-based remote sensing and WSN support for the generation of integrated data. An architecture is proposed for the combination of these technologies and the data acquisition, communication, fusion, and presentation processes are analyzed along with the proposal of future challenges.

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., ISPRS International Journal of Geo-Information, 7 (8), ISSN:2220-9964

Many kinds of text documents (e.g. newspapers, reports and letters) provide a potential source of geo-referenced information that is often underutilized. In interaction design, the use of dynamic icons and animation plays an important role in creating a sense of interactivity and feedback with virtual worlds. This paper shall focus on developing an interaction design approach for improving information retrieval from text sources as well as their interpretation. To this end, the Gertrude Mapper prototype is presented as a particle system based on an interaction design approach developed by a designer and a cartographer. The resulting prototype may be contemplated in the context of computer art, but it also has a practical aim: to help historians enhance their intuition through the visual exploration of unstructured text in a set of business letters. These letters were obtained from Simon Ruiz's archive. The prototype is available at http://www.dyncoopnet.eu/gertrude

Although affective and collaborative mapping are currently being studied in Cartography these two paradigms are not exclusive to this discipline. In fact, different disciplines are actively engaged in exploring their possibilities. For example artworks that are demonstrating how contemporary art and design can be used for exploring the relationship between people and space in order to discover new realities, perceptions and emotions that possibly could remain unknown under the objectivity of the conventional map representations. This paper aims to provide an overview of some artworks that are unfolding the realms of affective mapping where everything that takes place in a physical dimension only acquires its meaning through the collaboration of the participants or the sharing of an artist’s perspective. Through a discussion of these artistic developments, new research challenges are described in a way that brings together arts, society and cartography will be explored.

Very little is know about how the patterns of collective experiences towards a Place can quantitatively as well as qualitatively be represented based on subjective data. Therefore, our research challenge is two-fold: (a) to define what Place is by pointing to ways in which emotion states can be observed and are bound together within a social network; and (b) to develop a visual representation that provides the framework for representing patterns of emotion states associated to this Place. Towards this end, this paper will demonstrate our first results on the analysis of the correspondence obtained in the archive of Simon Ruiz that adds up to more than 50,000 documents, which were collected from a long list of sources during four decades.