@incollection{GlinkaMeierDoerk, author = {Glinka, Katrin and Meier, Sebastian and D{\"o}rk, Marian}, title = {Visualising the »Un-seen«}, series = {Kultur und Informatik - Cross Media}, booktitle = {Kultur und Informatik - Cross Media}, publisher = {Werner H{\"u}lsbusch}, address = {Gl{\"u}ckstadt}, isbn = {978-3-86488-082-7}, pages = {105 -- 117}, abstract = {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.}, subject = {Kulturerbe}, language = {en} } @incollection{MeierHeidmannThom, author = {Meier, Sebastian and Heidmann, Frank and Thom, Andreas}, title = {Heattile, a new method for heatmap implementations for mobile web-based cartographic applications}, series = {Thematic Cartography for the Society}, booktitle = {Thematic Cartography for the Society}, publisher = {Springer}, address = {Cham}, isbn = {978-3-319-08180-9}, doi = {10.1007/978-3-319-08180-9_4}, pages = {33 -- 44}, abstract = {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.}, subject = {Mobiles Endger{\"a}t}, language = {en} } @inproceedings{ThomMeierHeidmann, author = {Thom, Andreas and Meier, Sebastian and Heidmann, Frank}, title = {Anforderungsanalyse bei IT-Experten mit der Experience-Sample-Methode}, series = {Mensch und Computer 2015 - Usability Professionals}, booktitle = {Mensch und Computer 2015 - Usability Professionals}, publisher = {De Gruyter}, address = {Berlin}, isbn = {978-3-1104-4332-5}, doi = {10.1515/9783110443882-015}, pages = {133 -- 143}, abstract = {Dieser Beitrag besch{\"a}ftigt sich mit den Herausforderungen eine Anforderungsanalyse im hoch technologischen Umfeld der IT-Security durchzuf{\"u}hren, bei dem keine der {\"u}blichen ethnografischen Methoden wie teilnehmende Beobachtung u.a. m{\"o}glich waren. Im Umfeld von IT-Sicherheitsexperten besteht grunds{\"a}tzlich Skepsis bzgl. m{\"o}glicher Datenerfassungen, die Sicherheitsbelange des eigenen IT-Sicherheits-Betriebes (ITS) betreffen. Diese muss vor allem in der Anforderungsanalyse beachtet werden. Welche Methode k{\"o}nnte hierbei also zum Einsatz kommen? Im Rahmen des Beitrages m{\"o}chten 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 erl{\"a}utern.}, subject = {Designwissenschaft }, language = {de} } @inproceedings{Meier, author = {Meier, Sebastian}, title = {The Micro Smart Grid Tabletop}, series = {Proceedings of the International Workshop on Tactile/Haptic User Interfaces for Tabletops and Tablets}, booktitle = {Proceedings of the International Workshop on Tactile/Haptic User Interfaces for Tabletops and Tablets}, publisher = {RWTH}, address = {Aachen}, issn = {1613-0073}, pages = {6}, abstract = {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.}, subject = {Gegenst{\"a}ndliche Benutzeroberfl{\"a}che}, language = {en} } @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} } @inproceedings{Meier, author = {Meier, Sebastian}, title = {Enhancing Location Recommendation Through Proximity Indicators, Areal Descriptors, and Similarity Clusters}, series = {Progress in Location-Based Services 2016}, booktitle = {Progress in Location-Based Services 2016}, publisher = {Springer}, address = {Cham}, isbn = {978-3-319-47289-8}, issn = {1863-2351}, doi = {10.1007/978-3-319-47289-8_14}, pages = {273 -- 291}, abstract = {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.}, subject = {Empfehlungssystem}, 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} } @techreport{HeidmannThomMeier, author = {Heidmann, Frank and Thom, Andreas and Meier, Sebastian}, title = {Wachstumskern Potenzial : MSNI - Mobile Semantische Navigation und Information, Teilprojekt 3: Nutzerschnittstellen und Content-Visualisierung. Projekt-Schlussbericht ; Berichtslaufzeit: 02/12 bis 01/14}, publisher = {FHP, FB Design}, address = {Potsdam}, doi = {10.2314/GBV:834735105}, pages = {57}, subject = {Mobiles Internet}, language = {de} } @article{Meier, author = {Meier, Sebastian}, title = {Visualizations in Online News - and Their Effect on Perceived Credibility}, series = {KN - Journal of cartography and geographic information}, volume = {67}, journal = {KN - Journal of cartography and geographic information}, number = {2}, publisher = {Springer International Publishing}, address = {Cham}, issn = {2524-4957}, doi = {10.1007/BF03545380}, pages = {74 -- 83}, abstract = {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.}, subject = {Glaubw{\"u}rdigkeit}, language = {en} } @inproceedings{GoodwinMeierBartrametal., author = {Goodwin, Sarah and Meier, Sebastian and Bartram, Lyn and Godwin, Alex and Nagel, Till and D{\"o}rk, Marian}, title = {Unravelling the Human Perspective and Considerations for Urban Data Visualization}, series = {2021 IEEE 14th Pacific Visualization Symposium (PacificVis)}, booktitle = {2021 IEEE 14th Pacific Visualization Symposium (PacificVis)}, publisher = {IEEE}, address = {New York}, organization = {The Institute of Electrical and Electronics Engineers (IEEE)}, isbn = {978-1-6654-3931-2}, doi = {10.1109/PacificVis52677.2021.00024}, pages = {126 -- 130}, abstract = {Effective use of data is an essential asset to modern cities. Visualization as a tool for analysis, exploration, and communication has become a driving force in the task of unravelling our complex urban fabrics. This paper outlines the findings from a series of three workshops from 2018-2020 bringing together experts in urban data visualization with the aim of exploring multidisciplinary perspectives from the human-centric lens. Based on the rich and detailed workshop discussions identifying challenges and opportunities for urban data visualization research, we outline major human-centric themes and considerations fundamental for CityVis design and introduce a framework for an urban visualization design space.}, subject = {Individuelle Datenverarbeitung}, language = {en} } @article{MeierBoguckaLedermannetal., author = {Meier, Sebastian and Bogucka, Edyta P. and Ledermann, Florian and Roth, Robert E. and Słomska-Przech, Katarzyna and V{\"o}r{\"o}s, Fanni}, title = {Opportunities and Challenges for the Next Generation of Cartographers}, series = {Abstracts of the ICA}, journal = {Abstracts of the ICA}, number = {6}, publisher = {Copernicus Publications}, address = {G{\"o}ttingen}, issn = {2570-2106}, doi = {10.5194/ica-abs-6-162-2023}, pages = {1 -- 3}, abstract = {Developing the next generation of cartographers is essential to sustaining and expanding the mission of the International Cartographic Association. Students and early-career professionals today learn cartographic design alongside a diverse array of conceptual and technical competencies, such as data science, human-computer interaction, information visualization, and machine learning. Accordingly, the next generation of cartographers often are working at the forefront of the discipline, actively reshaping what cartography is and can be.}, subject = {Kartograf}, language = {en} } @inproceedings{MeierGlinka, author = {Meier, Sebastian and Glinka, Katrin}, title = {To Classify is to Interpret}, series = {Proceedings of Mensch und Computer 2023}, booktitle = {Proceedings of Mensch und Computer 2023}, editor = {Stolze, Markus and Loch, Frieder and Baldauf, Matthias and Alt, Florian and Schneegass, Christina and Kosch, Thomas and Hirzle, Teresa and Sadeghian, Shadan and Draxler, Fiona and Bektas, Kenan and Lohan, Katrin and Knierim, Pascal}, publisher = {Association for Computing Machinery}, address = {New York}, isbn = {979-8-4007-0771-1}, doi = {10.1145/3603555.3608532}, pages = {395 -- 401}, abstract = {Taxonomy building is a task that requires interpreting and classifying data within a given frame of reference, which comes to play in many areas of application that deal with knowledge and information organization. In this paper, we explore how taxonomy building can be supported with systems that integrate machine learning (ML). However, relying only on black-boxed ML-based systems to automate taxonomy building would sideline the users' expertise. We propose an approach that allows the user to iteratively take into account multiple model's outputs as part of their sensemaking process. We implemented our approach in two real-world use cases. The work is positioned in the context of HCI research that investigates the design of ML-based systems with an emphasis on enabling human-AI collaboration.}, subject = {K{\"u}nstliche Intelligenz}, language = {en} } @article{BruhnMeierLawrence, author = {Bruhn, Thomas and Meier, Sebastian and Lawrence, Mark G.}, title = {Interactive network visualization on the integration of mindsets and sustainability : creating conditions for emergence through a relational narrative}, series = {Innovation : The European Journal of Social Science Research}, volume = {36}, journal = {Innovation : The European Journal of Social Science Research}, number = {1}, publisher = {Routledge, Taylor \& Francis Group}, address = {London}, issn = {1351-1610}, doi = {10.1080/13511610.2022.2101987}, pages = {71 -- 84}, abstract = {Transdisciplinary research processes often involve the integration of knowledge and stakeholders from various backgrounds. Here, we introduce the story of the research project AMA (A Mindset for the Anthropocene) on the role of mindsets in the context of sustainability and present an interactive visualization tool that we developed for stakeholder mapping and research communication. Through this platform, we provide access and navigation to everyone interested in this field of research and we have simultaneously created a channel for all stakeholders to co-create content. Here, we describe the design and functionalities of the platform and the participatory way it was developed as part of our stakeholder engagement. We discuss upon how such a design allows for reflection of potential biases in transdisciplinary research processes and simultaneously catalyzing self-organization in stakeholder networks.}, subject = {Stakeholder}, language = {en} } @inproceedings{Meier, author = {Meier, Sebastian}, title = {Semi-automatic spatial classification of heterogeneous spatial open government data : use case of Germany}, series = {Abstracts of the International Cartographic Association}, booktitle = {Abstracts of the International Cartographic Association}, publisher = {Copernicus Publications}, address = {G{\"o}ttingen}, issn = {2570-2106}, doi = {10.5194/ica-abs-5-59-2022}, pages = {2}, abstract = {As part of the research project Open Data Cloud Services (ODCS), we have been trying to overcome some of the limitations introduced through the heterogeneity of spatial open government data (sOGD). In this paper we describe some of the challenges of sODG and one of the tools we built to spatially organize heterogenous sOGD, to make it easier for users to find data and automatically integrate it into existing data structures and in the future allow for cross-dataset spatial analysis.}, subject = {Klassifikation}, language = {en} } @article{NestelSłomskaPrzechLedermannetal., author = {Nestel, Chelsea and Słomska-Przech, Katarzyna and Ledermann, Florian and Bogucka, Edyta P. and V{\"o}r{\"o}s, Fanni and Meier, Sebastian and Roth, Robert E.}, title = {Opportunities and Challenges for the Next Generation of Cartographers}, series = {The cartographic journal : The world of mapping}, volume = {61}, journal = {The cartographic journal : The world of mapping}, number = {3}, publisher = {Taylor and Francis}, address = {London}, issn = {0008-7041}, doi = {10.1080/00087041.2024.2439720}, pages = {218 -- 226}, abstract = {Here, we introduce Next Generation Cartographers, a Working Group of the International Cartographic Association (ICA) Students and early-career professionals today learn cartographic design alongside a diverse array of conceptual and technical competencies and, therefore, are working at the forefront of the discipline. However, they typically are not among the leading voices within the cartography community simply due to experience. To this end, we organized a Next Generation Cartographers (NGC) workshop at EuroCarto 2022 to identify opportunities and challenges for the next generation of cartographers. During our discussions, advocacy, peer support, mentorship, and outreach emerged as key needs of next generation cartographers and, ultimately, the need for NGC to have a voice in ICA planning. Inclusion became a core value of NGC to promote safety and diversity across the cartography community. NGC opened to global membership in August 2023 at the International Cartographic Conference in Cape Town, South Africa, and became a Working Group in autumn 2023.}, subject = {International Cartographic Association}, language = {en} } @article{CayNagelMeier, author = {{\c{C}}ay, Damla and Nagel, Till and Meier, Sebastian}, title = {The UDV Card Deck}, series = {IEEE Computer Graphics and Applications}, volume = {45}, journal = {IEEE Computer Graphics and Applications}, number = {4}, address = {New York}, organization = {Institute of Electrical and Electronics Engineers (IEEE)}, issn = {0272-1716}, doi = {10.1109/MCG.2025.3556573}, pages = {30 -- 44}, abstract = {This paper presents the Urban Data Visualization (UDV) card deck, a tool designed to facilitate reflective discussions and inform the collaborative design process of urban data visualizations. The UDV card deck was developed to bridge the gap between theoretical knowledge and practice in workshop settings, fostering inclusive and reflective approaches to visualization design. Drawing from urban visualization design literature and the results from a series of expert workshops, these cards summarize key considerations when designing urban data visualizations. The card deck guides different activities in an engaging, collaborative, and structured format, promoting inclusion of diverse urban actors. We introduce the card deck and its goals, demonstrate its use in four case studies, and discuss our findings. Feedback from workshop participants indicates that the UDV card deck can serve as a supportive and reflective tool for urban data visualization researchers, designers and practitioners.}, subject = {Fallstudie}, language = {en} } @article{SafariallahkheiliSchieweMeier, author = {Safariallahkheili, Qasem and Schiewe, Jochen and Meier, Sebastian}, title = {Post-Hoc Explanation of AI Predictions in Wildfire Risk Mapping Through an Interactive Web-Based GeoXAI System}, series = {KN - Journal of cartography and geographic information}, journal = {KN - Journal of cartography and geographic information}, publisher = {Springer International Publishing}, address = {Cham}, issn = {2524-4957}, doi = {10.1007/s42489-025-00194-0}, pages = {16}, abstract = {This case study presents an innovative approach for explaining wildfire susceptibility through a web-based Geospatial eXplainable Artificial Intelligence (GeoXAI) system. By addressing limitations in traditional GeoXAI tools, such as the lack of geographical context for model predictions and local explanation, this system integrates state-of-the-art XAI methods with open-source geospatial technologies. Applied to the wildfire-prone regions of Berlin and Brandenburg, Germany, the system combines environmental, topographic, and meteorological features derived from high-resolution geospatial data for training a Random Forest (RF) model. The web-based GeoXAI system enables interactive exploration of the model output and its features, allowing users to visualize wildfire susceptibility, examine feature contributions, and correlate predictions with spatial patterns through post-hoc interpretability. By employing post-hoc explanation methods like SHAP, the system offers clear insights into model predictions by analyzing feature contributions after training, which helps users better understand AI-driven outcomes. Designed with a user-centered approach, the platform promotes trust and usability through transparent predictions, interactive geovisualizations, and local explanations, allowing users to navigate spatial data intuitively by exploring overviews, focusing on specific regions, and accessing detailed insights on demand. This work highlights the potential of combining GeoXAI with machine learning to improve decision-making in wildfire prevention and management.}, subject = {Entscheidungsunterst{\"u}tzungssystem}, language = {en} } @article{SafariallahkheiliSchieweMeier, author = {Safariallahkheili, Qasem and Schiewe, Jochen and Meier, Sebastian}, title = {Interactive web-based Geospatial eXplainable Artificial Intelligence for AI model output exploration}, series = {AGILE : GIScience series}, volume = {6}, journal = {AGILE : GIScience series}, number = {44}, publisher = {Copernicus Publications}, address = {G{\"o}ttingen}, issn = {2700-8150}, doi = {10.5194/agile-giss-6-44-2025}, pages = {7}, abstract = {This case study presents a web-based Geospatial eXplainable Artificial Intelligence (GeoXAI) system demonstrated through a case study for wildfire susceptibility assessment. Addressing limitations in traditional GeoXAI tools, the system integrates XAI methods with open-source geospatial technologies. Using a Random Forest model, the system combines environmental, topographic, and meteorological features to provide global and local insights. SHAP values offer feature-level explanations, while the interactive platform enables users to visualize wildfire susceptibility, examine feature contributions, and correlate predictions with spatial patterns and distribution of feature values. This approach tries to enhance transparency in AI-driven environmental decision support systems, with a specific focus on the interpretability of model output.}, subject = {Erkl{\"a}rbare k{\"u}nstliche Intelligenz}, language = {en} } @article{Meier, author = {Meier, Sebastian}, title = {Offene Daten und Interoperabilit{\"a}t}, series = {Vermessung Brandenburg}, volume = {29}, journal = {Vermessung Brandenburg}, number = {1.2024}, address = {Potsdam}, organization = {Ministerium des Innern und f{\"u}r Kommunales des Landes Brandenburg}, issn = {1430-7650}, pages = {22 -- 29}, abstract = {Das Thema „Offene Daten" (Open Data) gewinnt in immer mehr Anwendungsgebieten an Bedeutung. Auch in Beh{\"o}rden und der {\"o}ffentlichen Verwaltung etabliert sich zunehmend eine Open-Data-Kultur. Offene Daten aus der Verwaltung, im englischen „Open Government Data" (OGD), bergen viele Potentiale - ob es die Erleichterung der bereichs{\"u}bergreifenden Zusammenarbeit innerhalb der Verwaltung selbst ist oder das Schaffen von Transparenz gegen{\"u}ber B{\"u}rgerinnen und B{\"u}rgern. Auch auf wirtschaftlicher Ebene bieten sich neue M{\"o}glichkeiten f{\"u}r datengest{\"u}tzte Gesch{\"a}ftsfelder. Doch bei der Entwicklung neuer zivilgesellschaftlicher oder wirtschaftlicher Anwendungen basierend auf beh{\"o}rdlichen offenen Daten ergeben sich auch Herausforderungen.}, subject = {Cloud Computing}, language = {de} }