@article{Meier, author = {Meier, Sebastian}, title = {The Marker Cluster}, series = {International Journal of Agricultural and Environmental Information Systems}, volume = {7}, journal = {International Journal of Agricultural and Environmental Information Systems}, number = {1}, publisher = {IGI Global}, address = {Hershey}, issn = {1947-3206}, doi = {10.4018/IJAEIS.2016010102}, pages = {28 -- 43}, abstract = {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.}, subject = {Big Data}, language = {en} } @incollection{Meier, author = {Meier, Sebastian}, title = {Visualizing Large Spatial Time Series Data on Mobile Devices}, series = {Cartography : Maps Connecting the World}, booktitle = {Cartography : Maps Connecting the World}, publisher = {Springer}, address = {Cham}, isbn = {978-3-319-17738-0}, issn = {1863-2351}, doi = {10.1007/978-3-319-17738-0_12}, publisher = {Fachhochschule Potsdam}, pages = {161 -- 173}, abstract = {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.}, subject = {Visualisierung}, language = {en} } @incollection{NagelPschetzStefaneretal., author = {Nagel, Tina and Pschetz, Larissa and Stefaner, Moritz and M{\"u}ller, Boris}, title = {m{\ae}ve - Eine interaktive Tabletop-Installation}, series = {Kultur und Informatik : interaktive Systeme}, booktitle = {Kultur und Informatik : interaktive Systeme}, publisher = {H{\"u}lsbusch}, address = {Boizenburg}, isbn = {978-3-940317-72-8}, pages = {287 -- 298}, subject = {Mensch-Maschine-Kommunikation}, language = {de} } @article{BeechamRooneyMeieretal., author = {Beecham, R. and Rooney, C. and Meier, S. and Dykes, J. and Slingsby, A and Turkay, C. and Wood, J. and Wood, B. L. and Wong, W.}, title = {Faceted Views of Varying Emphasis (FaVVEs)}, series = {Computer Graphics Forum}, volume = {35}, journal = {Computer Graphics Forum}, number = {3}, publisher = {Wiley-Blackwell}, address = {Oxford}, issn = {1467-8659}, doi = {10.1111/cgf.12900}, pages = {241 -- 249}, abstract = {Many datasets have multiple perspectives - for example space, time and description - and often analysts are required to study these multiple perspectives concurrently. This concurrent analysis becomes difficult when data are grouped and split into small multiples for comparison. A design challenge is thus to provide representations that enable multiple perspectives, split into small multiples, to be viewed simultaneously in ways that neither clutter nor overload. We present a design framework that allows us to do this. We claim that multi-perspective comparison across small multiples may be possible by superimposing perspectives on one another rather than juxtaposing those perspectives side-by-side. This approach defies conventional wisdom and likely results in visual and informational clutter. For this reason we propose designs at three levels of abstraction for each perspective. By flexibly varying the abstraction level, certain perspectives can be brought into, or out of, focus. We evaluate our framework through laboratory-style user tests. We find that superimposing, rather than juxtaposing, perspective views has little effect on performance of a low-level comparison task. We reflect on the user study and its design to further identify analysis situations for which our framework may be desirable. Although the user study findings were insufficiently discriminating, we believe our framework opens up a new design space for multi-perspective visual analysis.}, subject = {Visualisierung}, language = {en} } @inproceedings{OttenHildebrandNageletal., author = {Otten, Heike and Hildebrand, Lennart and Nagel, Till and D{\"o}rk, Marian and M{\"u}ller, Boris}, title = {Shifted Maps}, series = {2018 IEEE VIS Arts Program}, booktitle = {2018 IEEE VIS Arts Program}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, address = {Berlin}, organization = {Institute of Electrical and Electronics Engineers (IEEE)}, isbn = {978-1-7281-2805-4}, doi = {10.1109/VISAP45312.2018.9046054}, pages = {1 -- 10}, abstract = {We present a hybrid visualization technique that integrates maps into network visualizations to reveal and analyze diverse topologies in geospatial movement data. With the rise of GPS tracking in various contexts such as smartphones and vehicles there has been a drastic increase in geospatial data being collect for personal reflection and organizational optimization. The generated movement datasets contain both geographical and temporal information, from which rich relational information can be derived. Common map visualizations perform especially well in revealing basic spatial patterns, but pay less attention to more nuanced relational properties. In contrast, network visualizations represent the specific topological structure of a dataset through the visual connections of nodes and their positioning. So far there has been relatively little research on combining these two approaches. Shifted Maps aims to bring maps and network visualizations together as equals. The visualization of places shown as circular map extracts and movements between places shown as edges, can be analyzed in different network arrangements, which reveal spatial and temporal topologies of movement data. We implemented a web-based prototype and report on challenges and opportunities about a novel network layout of places gathered during a qualitative evaluation.}, subject = {Karte}, language = {en} } @inproceedings{KauerJoglekarRedietal., author = {Kauer, Tobias and Joglekar, Sagar and Redi, Miriam and Aiello, Luca Maria and Quercia, Daniele}, title = {Mapping and Visualizing Deep-Learning Urban Beautification}, series = {IEEE Computer Graphics and Applications}, volume = {38}, booktitle = {IEEE Computer Graphics and Applications}, number = {5}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, address = {New York}, organization = {Institute of Electrical and Electronics Engineers (IEEE)}, issn = {1558-1756}, doi = {10.1109/MCG.2018.053491732}, pages = {70 -- 83}, abstract = {Information visualization has great potential to make sense of the increasing amount of data generated by complex machine-learning algorithms. We design a set of visualizations for a new deep-learning algorithm called FaceLift (goodcitylife.org/facelift). This algorithm is able to generate a beautified version of a given urban image (such as from Google Street View), and our visualizations compare pairs of original and beautified images. With those visualizations, we aim at helping practitioners understand what happened during the algorithmic beautification without requiring them to be machine-learning experts. We evaluate the effectiveness of our visualizations to do just that with a survey among practitioners. From the survey results, we derive general design guidelines on how information visualization makes complex machine-learning algorithms more understandable to a general audience.}, subject = {Visualisierung}, language = {en} } @inproceedings{MeierTostHeidmann2019, author = {Meier, Sebastian and Tost, Jordi and Heidmann, Frank}, title = {On the relevance of cartography : an interaction design perspective}, series = {Proceedings of the International Cartographic Association}, booktitle = {Proceedings of the International Cartographic Association}, number = {2}, address = {Bern}, organization = {International Cartographic Association (ICA)}, doi = {10.5194/ica-proc-2-84-2019}, pages = {6}, year = {2019}, abstract = {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.}, subject = {Kartografie}, language = {en} } @article{BludauDoerkHeidmann, author = {Bludau, Mark-Jan and D{\"o}rk, Marian and Heidmann, Frank}, title = {Relational perspectives as situated visualizations of art collections}, series = {Digital Scholarship in the Humanities}, volume = {36}, journal = {Digital Scholarship in the Humanities}, number = {Supplement 2}, publisher = {Oxford University Press}, address = {Oxford}, issn = {1477-4615}, doi = {10.1093/llc/fqab003}, pages = {ii17 -- ii29}, abstract = {With relational perspectives, we examine the potential of traversing cultural collections along the richness of individual facets and relations through the process of developing an exploration-centered visualization. Cultural collections can contain thousands of artifacts, of which each typically possesses a diverse set of properties and individual facets constituting a unique relationship to the rest of the collection. Therefore, to create an appropriate representation of the complex data of each underlying artifact, oftentimes, it is not only interesting to get an overview of the entire collection from one perspective, but to explore the specific context of an artifact and the various relations it may have to other items. To investigate the potential of relational perspectives, we selected an art collection as a particularly promising case study. By following and reporting from a collaborative and iterative design process with an art museum, we developed a web interface that contrasts a collection overview with three situated visualizations each exposing a different kind of relational perspective on the art collection from an artifact.}, subject = {Kulturelle Einrichtung}, language = {en} } @inproceedings{Pschetz, author = {Pschetz, Larissa}, title = {{hi}stories}, series = {CHI EA '08 : CHI '08 Extended Abstracts on Human Factors in Computing Systems}, booktitle = {CHI EA '08 : CHI '08 Extended Abstracts on Human Factors in Computing Systems}, publisher = {Association for Computing Machinery}, address = {New York}, isbn = {978-1-60558-012-8}, doi = {10.1145/1358628.1358915}, pages = {3693 -- 3698}, abstract = {With more and more digital information being produced by individuals every day, we will soon be able to use it to understand the past. Based on this premise this paper presents {Hi}Stories, a system to support the creation and access of user generated contents as historical evidences. In {Hi}Stories users aggregate contents from Internet and are invited to contribute their own material. It combines a number of research themes: collaborative information structuring, combination of contents from online services, and visualization and browsing of structured information collections.}, subject = {Elektronische Bibliothek}, language = {en} } @incollection{BuettnerTreudeWolf, author = {B{\"u}ttner, Stephan and Treude, Linda and Wolf, Sabine}, title = {Visual Contextualization of Library Data}, series = {Re:inventing information science in the networked society : Proceedings of the 14th International Symposium on Information Science (ISI 2015)}, booktitle = {Re:inventing information science in the networked society : Proceedings of the 14th International Symposium on Information Science (ISI 2015)}, publisher = {H{\"u}lsbusch}, address = {Gl{\"u}ckstadt}, isbn = {978-3-86488-081-0}, doi = {10.5281/zenodo.17976}, publisher = {Fachhochschule Potsdam}, pages = {573 -- 577}, abstract = {The role of libraries changed tremendously in the digital age. Search engine technology and full text availability now define the standards for information research. Libraries as knowledge providers have to face the challenges of the new technologies. Our poster contribution takes the example of Augmented Reality (AR) to show a way to use the potential of digital technology for library services. AR offers new possibilities to contextualize library data. Hence the transfer of knowledge can be enriched by virtual information and visualization. In our poster we introduce the project mylibrARy and the status quo of the conceptual process of designing a library AR-app. mylibrARy is a cooperation project between the University of Applied Sciences in Potsdam, a public library in Berlin and metaio GmbH. By providing mobile access to enriched library data the institution is able to stay in touch with users or even generate new users with a high affinity for digital technology. According to the result of our first of four user studies especially the integration of social media and social reading functions plays a crucial role in reaching that aim. Beside the connection to the local library knowledge organization system in the app we plan to integrate further features for the semantic contextualization such as the Wikipedia categories.}, subject = {Wissensorganisation}, language = {en} }