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Heattile, a new method for heatmap implementations for mobile web-based cartographic applications
(2014)
Mobile handheld computing devices are becoming a more important part of our digital infrastructure. Web-based map services and visualisations for spatial data are being optimised for use on these new mobile devices. Despite the fast development of mobile devices, compared to laptop and desktop computers they remain slower in terms of processing power and have limited memory capacity. Bandwidth in most areas is still limited, regardless of the fast expansion of high-speed internet for mobile devices. To overcome these two limitations an improvement in existing spatial data visualisations is necessary. This chapter compares existing methods and presents a new approach to generating and delivering web-based heat map visualisations for spatial data that is optimised for mobile devices.
Visualising the »Un-seen«
(2015)
In recent years, access to cultural heritage has been closely connected to digitisation. We argue the case for recognising this digital shift as an opportunity to create interfaces to cultural heritage that are, first of all, more inviting to the public. Secondly, we want to encourage critical approaches towards the representation of cultural production and allow for alternative or even conflicting narratives and interpretations to surface. We present related work, use cases, and concepts for visualisations and interfaces that invite the reconsideration of modes of categorisation, presentation and clustering. Our intent is to develop ways to scrutinise modes of exclusion, carry out critical evaluations and pursue interventional strategies. We discuss the specific potential of visualisation, annotation and dynamic expansion of digital cultural collections. Building on critical approaches in human-computer interaction, visualisation and cultural theories, we explore how the interface could be a means of reflection, critique and inclusion.
In this paper we present a case study for an interactive surface, an explanatory tangible multitouch system in an exhibition context. The system is used as an expressive representation of the complex concept of Micro Smart Grids (MSGs) and their influence on our future energy infrastructure. We built the experience upon research on integrating tangibles into playful and exploratory learning environments. Beyond the well-researched learning experience with tangibles, we developed the system to stimulate and foster discussions on the subject of MSGs. Besides the technology behind the system we will discuss limitations and advantages of combining tangible and multitouch technologies. To conclude we present reflections on the design and interaction concepts that were embedded into the system.
This paper introduces an approach for visualizing large spatial time series data sets on mobile devices. The HeatTile system (Meier et al. 2014) is used and extended with a progressive loading approach, the stream approach. By combining those two approaches, this study aimed to overcome the performance and bandwidth limitations inherent to mobile devices. This chapter focuses on the technological advantages of the presented approach in a performance comparison with other common approaches. Furthermore, an animated time series visualization is introduced, as well as an interface designed specifically for the presented method in order to emphasize the advantages of the approach. To further highlight the possible applications of the method, two real-world use cases are presented.
Dieser Beitrag beschäftigt sich mit den Herausforderungen eine Anforderungsanalyse im hoch technologischen Umfeld der IT-Security durchzuführen, bei dem keine der üblichen ethnografischen Methoden wie teilnehmende Beobachtung u.a. möglich waren. Im Umfeld von IT-Sicherheitsexperten besteht grundsätzlich Skepsis bzgl. möglicher Datenerfassungen, die Sicherheitsbelange des eigenen IT-Sicherheits-Betriebes (ITS) betreffen. Diese muss vor allem in der Anforderungsanalyse beachtet werden. Welche Methode könnte hierbei also zum Einsatz kommen? Im Rahmen des Beitrages möchten wir unser Vorgehen und die gewonnen Erkenntnisse im Rahmen eines ZIM-Koop-Projektes des BMWi vorstellen und anhand eines Frameworks inkl. der Sample-Visualisierung der gewonnenen Daten zur Experience-Sample-Methode erläutern.
The Marker Cluster
(2016)
The growing amount of gathered, stored and available data is creating a need for useful mass-data visualizations in many domains. The mapping of large spatial data sets is not only of interest for experts anymore, but, with regard to the latest advances in web cartography, also moves into the domain of public cartographic applications. One interactive web-based cartographic interface design pattern that helps with visualizing and interacting with large, high density data sets is the marker cluster; a functionality already in use in many web-based products and solutions. In this article, the author will present their ongoing research on the problem of “too many markers.” They will present an empirical evaluation and comparison of marker cluster techniques and similar approaches, including heatmaps and tiled heatmaps. They conclude with a first concept for overcoming some of the obstacles that they were able to identify in their study and thereby introduce a new direction for further research.
Location recommendation (LR) or rather location-based recommender systems (LBRS) are an integral part of modern location-based services (LBS). Most LR algorithms only focus on location-specific attributes when calculating recommendations, while completely ignoring the urban structure surrounding the locations. (In this paper we refer to a geographic coordinate (latitude and longitude) as position. Locations and places in contrast refer to physical entities e.g. a restaurant, a bus stop or a lake). This paper demonstrates how the urban structure can be modelled in LR calculations by using data from OpenStreetMap (OSM) and the location data itself. Based on these datasets, we present two approaches to extend the LR process by (1) including the urban structure in direct proximity of the location (Proximity Indicators and Areal Descriptors) and by (2) not only looking for individual locations but location clusters (Similarity Clusters). Thereby we acknowledge the complexity of a location, which can not be perceived as a detached entity. A location is part of a given urban structure and we need to include the parameters of this structure in our algorithms. A prototypical implementation compares locations from four major German cities: Berlin, Hamburg, Munich and Cologne and thereby highlights the applicability of the underlying data structures derived from OSM and the location data itself. We conclude by outlining the potential of the presented approaches in the context of LR as well as their relevancy for urban planning and neighboring disciplines.
Over the last few years, data visualization, especially the visualization of spatial data, has become of ever-increasing importance in modern online journalism. While there is a broad range of research projects that focus on developing new methods, techniques, and implementations, empirical analysis of the potential implications of this trend is still rare. In this paper, the potential influence of visualizations in online journalism is in the focus: perceived credibility. The need for such empirical research is emphasized by presenting a preliminary quantitative study that assesses the impact of maps and information visualization on the perceived credibility of online news articles.
We see more cartographic products in our digital world than ever before. But what role does cartography play in the modern production of cartographic products? In this position paper, we will argue that the democratization and diffusion of cartographic production has also led to the presumed “fading relevance” of cartography. As an argument against this notion, we highlight starting points for the field of cartography to improve modern cartographic production through its inherent cartographic knowledge.