Journal Articles

2021

  1. Andrienko, N., Andrienko, G., Miksch, S., Schumann, H., & Wrobel, S. (2021). A theoretical model for pattern discovery in visual analytics. Visual Informatics, 5(1), 23–42. DOI: https://doi.org/10.1016/j.visinf.2020.12.002
  2. Chen, S., Andrienko, N., Andrienko, G., Li, J., & Yuan, X. (2021). Co-Bridges: Pair-wise Visual Connection and Comparison for Multi-item Data Streams . IEEE Transactions on Visualization and Computer Graphics, 27(2), 1612–1622. DOI: 10.1109/TVCG.2020.3030411
  3. Wartmann, F., Olga, K., & Purves, R. (2021). Assessing experienced tranquillity through natural language processing and landscape ecology measures . Landscape Ecology. DOI: 10.1007/s10980-020-01181-8
  4. Latif, S., Tarner, H., & Beck, F. (2021). Talking Realities: Audio Guides in Virtual Reality Visualizations. IEEE Computer Graphics and Applications, 1–1. DOI: 10.1109/MCG.2021.3058129
  5. Tempelmeier, N., & Demidova, E. (2021). Linking OpenStreetMap with knowledge graphs — Link discovery for schema-agnostic volunteered geographic information. Future Generation Computer Systems, 116, 349–364. DOI: https://doi.org/10.1016/j.future.2020.11.003
  6. Keil, J., Edler, D., Schmitt, T., & Dickmann, F. (2021). Creating Immersive Virtual Environments Based on Open Geospatial Data and Game Engines. KN - Journal of Cartography and Geographic Information. DOI: https://doi.org/10.1007/s42489-020-00069-6
  7. Schäfermeier, B., Stumme, G., & Hanika, T. (2021). Topic space trajectories. Scientometrics. DOI: 10.1007/s11192-021-03931-0

2020

  1. Dunkel, A., Löchner, M., & Burghardt, D. (2020). Privacy-Aware Visualization of Volunteered Geographic Information (VGI) to Analyze Spatial Activity: A Benchmark Implementation . ISPRS International Journal of Geo-Information, 9(10), 607. DOI: 10.3390/ijgi9100607
  2. Gründemann, T., & Burghardt, D. (2020). A taxonomy for classifying user groups in location-based social media. AGILE: GIScience Series, 1, 5. DOI: 10.5194/agile-giss-1-5-2020
  3. Gröbe, M., & Burghardt, D. (2020). Micro diagrams: visualization of categorical point data from location-based social media . Cartography and Geographic Information Science, 47(4), 305–320. DOI: 10.1080/15230406.2020.1733438
  4. Bahrehdar, A. R., Adams, B., & Purves, R. S. (2020). Streets of London: Using Flickr and OpenStreetMap to build an interactive image of the city . Computers, Environment and Urban Systems, 84, 101524. DOI: https://doi.org/10.1016/j.compenvurbsys.2020.101524
  5. Das, R. D., & Purves, R. S. (2020). Exploring the Potential of Twitter to Understand Traffic Events and Their Locations in Greater Mumbai, India . IEEE Transactions on Intelligent Transportation Systems, 21(12), 5213–5222. DOI: 10.1109/TITS.2019.2950782
  6. Löchner, M., Fathi, R., Schmid, D., Dunkel, A., Burghardt, D., Fiedrich, F., & Koch, S. (2020). Case Study on Privacy-Aware Social Media Data Processing in Disaster Management. ISPRS International Journal of Geo-Information, 9(12), 709. DOI: 10.3390/ijgi9120709
  7. Fathi, R., Thom, D., Koch, S., Ertl, T., & Fiedrich, F. (2020). VOST: A case study in voluntary digital participation for collaborative emergency management. Information Processing \& Management, 57(4), 102174. DOI: 10.1016/j.ipm.2019.102174
  8. Keil, J., Edler, D., Reichert, K., Dickmann, F., & Kuchinke, L. (2020). Structural salience of landmark pictograms in maps as a predictor for object location memory performance. Journal of Environmental Psychology, 72, 101497. DOI: https://doi.org/10.1016/j.jenvp.2020.101497
  9. Keil, J., Edler, D., Kuchinke, L., & Dickmann, F. (2020). Effects of visual map complexity on the attentional processing of landmarks. Plos One, 15(3), e0229575. DOI: https://doi.org/10.1371/journal.pone.0229575
  10. Gröbe, M., & Burghardt, D. (2020). Micro diagrams: visualization of categorical point data from location-based social media. Cartography and Geographic Information Science, 47(4), 305–320. DOI: 10.1080/15230406.2020.1733438
  11. Chaplick, S., van Dijk, T. C., Kryven, M., Park, J.-W., Ravsky, A., & Wolff, A. (2020). Bundled Crossings Revisited. Journal of Graph Algorithms \& Applications, 35 pages. DOI: 10.7155/jgaa.00535
  12. Steininger, M., Kobs, K., Zehe, A., Lautenschlager, F., Becker, M., & Hotho, A. (2020). MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images. ACM Trans. Spatial Algorithms Syst., 6(3). DOI: 10.1145/3380973
  13. Lautenschlager, F., Becker, M., Kobs, K., Steininger, M., Davidson, P., Krause, A., & Hotho, A. (2020). OpenLUR: Off-the-shelf air pollution modeling with open features and machine learning. Atmospheric Environment, 233, 117535. DOI: https://doi.org/10.1016/j.atmosenv.2020.117535

2019

  1. Hauthal, E., Burghardt, D., & Dunkel, A. (2019). Analyzing and Visualizing Emotional Reactions Expressed by Emojis in Location-Based Social Media. International Journal of Geo-Information, 8(3), 21. DOI: 10.3390/ijgi8030113
  2. Mocnik, F.-B., Ludwig, C., Grinberger, A. Y., Jacobs, C., Klonner, C., & Raifer, M. (2019). Shared Data Sources in the Geographical Domain—A Classification Schema and Corresponding Visualization Techniques. ISPRS International Journal of Geo-Information, 8(5), 242. DOI: 10.3390/ijgi8050242
  3. Raifer, M., Troilo, R., Kowatsch, F., Auer, M., Loos, L., Marx, S., Przybill, K., Fendrich, S., Mocnik, F.-B., & Zipf, A. (2019). OSHDB: a framework for spatio-temporal analysis of OpenStreetMap history data. Open Geospatial Data, Software and Standards, 4(3). DOI: 10.1186/s40965-019-0061-3
  4. Diehl, A., Cilasun, N., Seebacher, D., Chen, S., Keim, D., & Schreck, T. (2019). {Bias- and Uncertainty-based Visual Analysis of Bubbles in Social Media}. Journal of Computer Languages, Elsevier (under Review).
  5. Sommer, B., Diehl, A., Aichem, M., Meschenmoser, P., Rehberg, K., Weber, D., Zhang, Y., Klein, K., Keim, D., & Schreiber, F. (2019). Tiled Stereoscopic 3D Display Wall - Concept, Applications and Evaluation.
  6. Keil, J., Edler, D., Dickmann, F., & Kuchinke, L. (2019). Meaningfulness of landmark pictograms reduces visual salience and recognition performance. Applied Ergonomics, 75, 214–220. DOI: 10.1016/j.apergo.2018.10.008

2018

  1. Dunkel, A., Andrienko, G., Andrienko, N., Burghardt, D., Hauthal, E., & Purves, R. (2018). A conceptual framework for studying collective reactions to events in location-based social media. International Journal of Geographical Information Science, 1–25. DOI: 10.1080/13658816.2018.1546390
  2. Harald Bosch, D. T. (2018). Stolpersteine in KI-Projekten Lernen im Produktiveinsatz.
  3. {Krüger}, R., {Simeonov}, G., {Beck}, F., & {Ertl}, T. (2018). Visual Interactive Map Matching. IEEE Transactions on Visualization and Computer Graphics, 24(6), 1881–1892. DOI: 10.1109/TVCG.2018.2816219
  4. Chesnokova, O., & Purves, R. S. (2018). From image descriptions to perceived sounds and sources in landscape: Analyzing aural experience through text. Applied Geography, 93, 103–111.
  5. Chen, S., Li, J., Andrienko, G., Andrienko, N., Wang, Y., Nguyen, P. H., & Turkay, C. (2018). Supporting Story Synthesis: Bridging the Gap between Visual Analytics and Storytelling. IEEE Transactions on Visualization and Computer Graphics.
  6. Sch{\"a}fermeier, B., Hanika, T., & Stumme, G. (2018). Distances for WiFi Based Topological Indoor Mapping. ArXiv Preprint ArXiv:1809.07405.
  7. Chesnokova, O., Taylor, J. E., Gregory, I. N., & Purves, R. S. (2018). Hearing the silence: finding the middle ground in the spatial humanities? Extracting and comparing perceived silence and tranquillity in the English Lake District. International Journal of Geographical Information Science, 0(0), 1–25. DOI: 10.1080/13658816.2018.1552789
  8. Fathi, R., Schulte, Y., Schütte, P., Tondorf, V., & Fiedrich, F. (2018). Lageinformationen aus den sozialen Netzwerken: Virtual Operations Support Teams (VOST) international im Einsatz. Notfallvorsorge, 2/2018(49), 9.
  9. Keil, J., Mocnik, F.-B., Edler, D., Dickmann, F., & Kuchinke, L. (2018). Reduction of Map Information Regulates Visual Attention Without Affecting Route Recognition Performance. ISPRS International Journal of Geo-Information, 7(12), 469. DOI: 10.3390/ijgi7120469
  10. Becker, M., Lautenschlager, F., & Hotho, A. (2018). Air Trails--Urban Air Quality Campaign Exploration Patterns. AGILE Workshop.
  11. Mocnik, F.-B. (2018). Dimension as an Invariant of Street Networks. Proceedings of the 7th International Conference on Complex Networks and Their Applications.
  12. Westerholt, R., Mocnik, F.-B. M., & Zipf, A. (2018). Introduction to the PLATIAL'18 Workshop on Platial Analysis. Proceedings of the 1st Workshop on Platial Analysis (PLATIAL'18), 1–5. DOI: 10.5281/zenodo.1475267
  13. Mocnik, {\relax F.-B. (2018). The Polynomial Volume Law of Complex Networks in the Context of Local and Global Optimization. Scientific Reports, 8(11274). DOI: 10.1038/s41598-018-29131-0
  14. Behrisch, M., Blumenschein, M., Kim, N. W., Shao, L., El-Assady, M., Fuchs, J., Seebacher, D., Diehl, A., Brandes, U., Pfister, H., Schreck, T., Weiskopf, D., & Keim, D. A. (2018). {Quality Metrics for Information Visualization}. EuroVis STAR. DOI: 10.1111/cgf.13446
  15. Mocnik, {\relax F.-B. (2018). Linked Open Data Vocabularies for Semantically Annotated Repositories of Data Quality Measures. Proceedings of the 10th International Conference on Geographic Information Science (GIScience). DOI: 10.4230/LIPIcs.GISCIENCE.2018.50
  16. Mocnik, {\relax F.-B., & Raifer, M. (2018). The effect of tectonic plate motion on {O}pen{S}treet{M}ap data. Proceedings of the 21st AGILE Conference on Geographic Information Science.
  17. Mocnik, {\relax F.-B., Mobasheri, A., & Zipf, A. (2018). Open Source Data Mining Infrastructure for Exploring and Analysing {O}pen{S}treet{M}ap. Open Geospatial Data, Software and Standards, 3(7). DOI: 10.1186/s40965-018-0047-6
  18. Mocnik, {\relax F.-B. (2018). A Novel Identifier Scheme for the {ISEA} {A}perture 3 {H}exagon {D}iscrete {G}lobal {G}rid {S}ystem. Cartography and Geographic Information Science. DOI: 10.1080/15230406.2018.1455157
  19. Westerholt, R., Resch, B., Mocnik, {\relax F.-B., & Hoffmeister, D. (2018). A statistical test on the local effects of spatially structured variance. International Journal of Geographical Information Science, 32(3), 571–600. DOI: 10.1080/13658816.2017.1402914

2017

  1. Bestgen, A.-K., Edler, D., Kuchinke, L., & Dickmann, F. (2017). Analyzing the Effects of VGI-based Landmarks on Spatial Memory and Navigation Performance. KI - Künstliche Intelligenz, 31(2), 179–183. DOI: 10.1007/s13218-016-0452-x
  2. Bast, H., Brosi, P., & Storandt, S. (2017). Efficient Generation of Geographically Accurate Transit Maps. CoRR, abs/1710.02226. http://dblp.uni-trier.de/db/journals/corr/corr1710.html#abs-1710-02226
  3. Fathi, R., Kleinebrahn, A., Schulte, Y., & Martini, S. (2017). Desinformationen in der Lage – oder die Suche nach dem Koch der Gerüchteküche. Crisis Prevention, 4/2017, 38–41. https://cdn.flipsnack.com/widget/flipsnackwidget.html?hash=fdui4jpu6
  4. Fathi, R., Rummeny, D., & Fiedrich, F. (2017). Organisation von Spontanhelfern am Beispiel des Starkregenereignisses vom 28.07.2014 in Münster. Notfallvorsorge, 2/2017, 27–34. https://www.walhalla.de/walhalla-digital/e-paper-zeitschrift-notfallvorsorge-heft-022017.produkt.html
  5. Fathi, R., Polan, F., & Fiedrich, F. (2017). Digitale Hilfeleistung und das Digital Humanitarian Network. Notfallvorsorge, 3/2017, 04–10. https://www.walhalla.de/walhalla-digital/e-paper-zeitschrift-notfallvorsorge-heft-032017.produkt.html
  6. Becker, M., Lemmerich, F., Singer, P., Strohmaier, M., & Hotho, A. (2017). MixedTrails: Bayesian hypothesis comparison on heterogeneous sequential data. Data Mining and Knowledge Discovery. DOI: 10.1007/s10618-017-0518-x
  7. Ali, A. L., & Al-Salman, R. (2017). DeepTags: Integration of Various VGI Resources Towards Enhanced Data Quality.
  8. Bertone, A., & Burghardt, D. (2017). A Survey on Visual Analytics for the Spatio-Temporal Exploration of Microblogging Content. Journal of Geovisualization and Spatial Analysis, 1(2). DOI: 10.1007/s41651-017-0002-6
  9. Sacha, D., Al-Masoudi, F., Stein, M., Schreck, T., Keim, D. A., Andrienko, G., & Janetzko, H. (2017). Dynamic Visual Abstraction of Soccer Movement. Computer Graphics Forum. DOI: 10.1111/cgf.13189
  10. Vrotsou, K., Fuchs, G., Andrienko, N., & Andrienko, G. (2017). An Interactive Approach for Exploration of Flows Through Direction-Based Filtering. Journal of Geovisualization and Spatial Analysis, 1(1), 1. DOI: 10.1007/s41651-017-0001-7
  11. Andrienko, N., & Andrienko, G. (2017). State Transition Graphs for Semantic Analysis of Movement Behaviours. Information Visualization, 0(0), 1473871617692841. DOI: 10.1177/1473871617692841

2015

  1. Chen, S., Yuan, X., Wang, Z., Guo, C., Liang, J., Wang, Z., Zhang, X. L., & Zhang, J. (2015). Interactive visual discovering of movement patterns from sparsely sampled geo-tagged social media data. IEEE Transactions on Visualization and Computer Graphics, 22(1), 270–279.

Conference Articles

2020

  1. Fathi, R., & Fiedrich, F. (2020). Digital Freiwillige in der Katastrophenhilfe - Motivationsfaktoren und Herausforderungen der Partizipation. In C. Hansen, A. Nürnberger, & B. Preim (Eds.), Mensch und Computer 2020 - Workshopband. Gesellschaft für Informatik e.V. DOI: 10.18420/muc2020-ws117-406
  2. Keil, J., Edler, D., Dickmann, F., & Kuchinke, L. (2020). Landmark processing in topographic maps to support object location recall. ETRA Adjunct, 21:1–21:3. DOI: https://doi.org/10.1145/3379157.3391416

2019

  1. Löchner, M., Dunkel, A., & Burghardt, D. (2019). Protecting privacy using HyperLogLog to process data from Location Based Social Networks. LESSON.
  2. Keil, J., Edler, D., Kuchinke, L., & Dickmann, F. (2019). Task-Oriented Display of Landmark Pictograms in Maps. Abstracts of the International Cartographic Association, 1, 167. DOI: https://doi.org/10.5194/ica-abs-1-167-2019
  3. van Dijk, T. C., & Löffler, A. (2019). Practical Topologically Safe Rounding of Geographic Networks. In F. B. Kashani, G. Trajcevski, R. H. Güting, L. Kulik, & S. D. Newsam (Eds.), Proceedings of the 27th {ACM} {SIGSPATIAL} International Conference on Advances in Geographic Information Systems (pp. 239–248). {ACM}. DOI: 10.1145/3347146.3359347
  4. Schäfermeier, B., Hanika, T., & Stumme, G. (2019). Distances for WiFi Based Topological Indoor Mapping. 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous), November 12--14, 2019, Houston, TX, USA. DOI: 10.1145/3360774.3360780
  5. Funke, S., Rupp, T., Nusser, A., & Storandt, S. (2019). PATHFINDER: Storage and Indexing of Massive Trajectory Sets. Proceedings of the 16th International Symposium on Spatial and Temporal Databases, 90–99. DOI: 10.1145/3340964.3340978
  6. van Dijk, T. C. (2019). Algorithmically-Assisted Metro Map Design. In M. Roberts & M. Nöllenburg (Eds.), Proc. 2nd Schematic Mapping Workshop (SMW 2019).
  7. Barth, F., Funke, S., & Storandt, S. (2019). Alternative Multicriteria Routes. ALENEX.
  8. Beck, M., Lam, K.-Y., Ng, J. K. Y., Storandt, S., & Zhu, C. J. (2019). Concatenated k-Path Covers. ALENEX.
  9. Barz, B., & Denzler, J. (2019). Hierarchy-based Image Embeddings for Semantic Image Retrieval. IEEE Winter Conference on Applications of Computer Vision (WACV).

2018

  1. Löchner, M., Dunkel, A., & Burghardt, D. (2018). A privacy-aware model to process data from location-based social media. VGI Geovisual Analytics Workshop.
  2. Mahtal, S., Lupu, C., Armbruster, B., Bechtold, M., Reichel, M., Wangler, T., Thom, D., Koch, S., & Ertl, T. (2018). Analytical Workbench for Integrated Social Media Geo-Inference. In D. Burghardt, S. Chen, G. Andrienko, N. Andrienko, R. Purves, & A. Diehl (Eds.), VGI Geovisual Analytics Workshop.
  3. Das, R. D., & Purves, R. S. (2018). Towards the Usefulness of User-Generated Content to Understand Traffic Events (Short Paper). 10th International Conference on Geographic Information Science (GIScience 2018).
  4. Seebacher, D., Keim, D. A., & Stein, M. (2018). Understanding Collective Behavior with the Concept of Core Clusters. In D. Burghardt, S. Chen, G. Andrienko, N. Andrienko, R. Purves, & A. Diehl (Eds.), VGI Geovisual Analytics Workshop.
  5. Gründemann, T., & Burghardt, D. (2018). Classifying and visualizing the social facet of location-based social network data. In D. Burghardt, S. Chen, G. Andrienko, N. Andrienko, R. Purves, & A. Diehl (Eds.), VGI Geovisual Analytics Workshop.
  6. Signorello, G., Farinella, G. M., Di Silvestro, L., Torrisi, A., & Gallo, G. (2018). Exploring geo-tagged photos to assess spatial patterns of visitors in protected areas : the case of park of Etna (Italy). In D. Burghardt, S. Chen, G. Andrienko, N. Andrienko, R. Purves, & A. Diehl (Eds.), VGI Geovisual Analytics Workshop. http://bdva.net/2018/index.php/vgi-geovisual-analytics-workshop/
  7. Das, R. D., & Purves, R. S. (2018). Urban Traffic Event Detection using Twitter Data. In D. Burghardt, S. Chen, G. Andrienko, N. Andrienko, R. Purves, & A. Diehl (Eds.), VGI Geovisual Analytics Workshop.
  8. Spur, M., & Tourre, V. (2018). Evaluation of Spatial Data Layer Compositing Techniques in Interactive VR Environments. In D. Burghardt, S. Chen, G. Andrienko, N. Andrienko, R. Purves, & A. Diehl (Eds.), VGI Geovisual Analytics Workshop.
  9. Diehl, A., Yang, B., Das, R. D., Chen, S., Andrienko, G., Andrienko, N., Dransch, D., & Keim, D. (2018). User-Uncertainty : A Human-Centred Uncertainty Taxonomy for VGI through the Visual Analytics Workflow. In D. Burghardt, S. Chen, G. Andrienko, N. Andrienko, R. Purves, & A. Diehl (Eds.), VGI Geovisual Analytics Workshop.
  10. Barth, F., Funke, S., & Storandt, S. (2018). CYCLOPS: CYCLe route options planning service. In F. Banaei-Kashani, E. G. Hoel, R. H. Güting, R. Tamassia, & L. Xiong (Eds.), SIGSPATIAL/GIS (pp. 576–579). ACM. http://dblp.uni-trier.de/db/conf/gis/gis2018.html#BarthFS18
  11. Storandt, S. (2018). Sensible edge weight rounding for realistic path planning. In F. Banaei-Kashani, E. G. Hoel, R. H. Güting, R. Tamassia, & L. Xiong (Eds.), SIGSPATIAL/GIS (pp. 89–98). ACM. http://dblp.uni-trier.de/db/conf/gis/gis2018.html#Storandt18
  12. van Dijk, T. C. (2018). Aktives Lernen f{\"u}r Informationsextraktion aus historischen Karten. In G. Meinel, U. Schumacher, M. Behnisch, & T. Kr{\"u}ger (Eds.), Flächennutzungsmonitoring X (Vol. 76, pp. 181–186). RHOMBOS. https://rhombos.de/shop/buecher/umwelt-00006/flachennutzungsmonitoring-x.html
  13. van Dijk, T. C., & Lutz, D. (2018). Realtime linear cartograms and metro maps. In F. Banaei-Kashani, E. G. Hoel, R. H. Güting, R. Tamassia, & L. Xiong (Eds.), SIGSPATIAL/GIS (pp. 488–491). ACM. https://doi.org/10.1145/3274895.3274959
  14. van Dijk, T. C., Greiner, T., den Heijer, B., Henning, N., Klesen, F., & Löffler, A. (2018). Wüpstream: efficient enumeration of upstream features (GIS cup). In F. Banaei-Kashani, E. G. Hoel, R. H. Güting, R. Tamassia, & L. Xiong (Eds.), SIGSPATIAL/GIS (pp. 626–629). ACM. https://doi.org/10.1145/3274895.3276475
  15. Barz, B., van Dijk, T. C., Spaan, B., & Denzler, J. (2018). Putting User Reputation on the Map: Unsupervised Quality Control for Crowdsourced Historical Data. 2nd ACM SIGSPATIAL Workshop on Geospatial Humanities. DOI: 10.1145/3282933.3282937
  16. Lautenschlager, F., Becker, M., Steininger, M., & Hotho, A. (2018). EveryAware Gears: A Tool to visualize and analyze all types of Citizen Science Data. In D. Burghardt, S. Chen, G. Andrienko, N. Andrienko, R. Purves, & A. Diehl (Eds.), Proceedings of VGI Geovisual Analytics Workshop, colocated with BDVA 2018. KOPS.
  17. Mendel, T. (2018). Area-Preserving Subdivision Simplification with Topology Constraints: Exactly and in Practice. In R. Pagh & S. Venkatasubramanian (Eds.), ALENEX (pp. 117–128). SIAM. http://dblp.uni-trier.de/db/conf/alenex/alenex2018.html#Mendel18
  18. Krumpe, F. (2018). Labeling Points of Interest in Dynamic Maps using Disk Labels. In S. Winter, A. Griffin, & M. Sester (Eds.), GIScience (Vol. 114, pp. 8:1–8:14). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik. http://dblp.uni-trier.de/db/conf/giscience/giscience2018.html#Krumpe18
  19. Barz, B., Käding, C., & Denzler, J. (2018). Information-Theoretic Active Learning for Content-Based Image Retrieval. German Conference on Pattern Recognition (GCPR).
  20. Westerholt, R., Gr{\"o}be, M., Zipf, A., & Burghardt, D. (2018). {Towards the Statistical Analysis and Visualization of Places (Short Paper)}. In S. Winter, A. Griffin, & M. Sester (Eds.), 10th International Conference on Geographic Information Science (GIScience 2018) (Vol. 114, pp. 63:1–63:7). Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik. DOI: 10.4230/LIPIcs.GISCIENCE.2018.63
  21. Barz, B., & Denzler, J. (2018). Deep Learning is not a Matter of Depth but of Good Training. International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI), 683–687. http://hera.inf-cv.uni-jena.de:6680/pdf/Barz18:GoodTraining.pdf
  22. Barz, B., & Denzler, J. (2018). Automatic Query Image Disambiguation for Content-Based Image Retrieval. Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 5 (VISAPP), 249–256. http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0006593402490256

2017

  1. Lischke, L., Hoffmann, J., Krueger, R., Bader, P., Woźniak, P., & Schmidt, A. (2017). Towards Interaction Techniques for Social Media Data Exploration on Large High-Resolution Displays. 2752–2759. DOI: 10.1145/3027063.3053229
  2. {Krueger}, R., {Tremel}, T., & {Thom}, D. (2017). VESPa 2.0: Data-Driven Behavior Models for Visual Analytics of Movement Sequences. 2017 International Symposium on Big Data Visual Analytics (BDVA), 1–8. DOI: 10.1109/BDVA.2017.8114626
  3. Seybold, M. P. (2017). Robust Map Matching for Heterogeneous Data via Dominance Decompositions. In N. Chawla & W. Wang (Eds.), SDM (pp. 813–821). SIAM. http://dblp.uni-trier.de/db/conf/sdm/sdm2017.html#Seybold17
  4. Funke, S., & Storandt, S. (2017). Automatic Tag Enrichment for Points-of-Interest in Open Street Map. In D. Brosset, C. Claramunt, X. Li, & T. Wang (Eds.), W2GIS (Vol. 10181, pp. 3–18). http://dblp.uni-trier.de/db/conf/w2gis/w2gis2017.html#FunkeS17
  5. Funke, S., Mendel, T., Miller, A., Storandt, S., & Wiebe, M. (2017). Map Simplification with Topology Constraints: Exactly and in Practice. In S. P. Fekete & V. Ramachandran (Eds.), ALENEX (pp. 185–196). SIAM. http://dblp.uni-trier.de/db/conf/alenex/alenex2017.html#FunkeMMSW17
  6. Funke, S., Laue, S., & Storandt, S. (2017). Personal Routes with High-Dimensional Costs and Dynamic Approximation Guarantees. In C. S. Iliopoulos, S. P. Pissis, S. J. Puglisi, & R. Raman (Eds.), SEA (Vol. 75, pp. 18:1–18:13). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik. http://dblp.uni-trier.de/db/conf/wea/sea2017.html#FunkeLS17
  7. Funke, S., Haag, C., & Storandt, S. (2017). Generating Concise and Robust Driving Directions. In E. G. Hoel, S. D. Newsam, S. Ravada, R. Tamassia, & G. Trajcevski (Eds.), SIGSPATIAL/GIS (pp. 91:1–91:4). ACM. http://dblp.uni-trier.de/db/conf/gis/gis2017.html#FunkeHS17
  8. Bahrdt, D., Funke, S., Gelhausen, R., & Storandt, S. (2017). Searching OSM Planet with Context-Aware Spatial Relations. In E. G. Hoel, S. D. Newsam, S. Ravada, R. Tamassia, & G. Trajcevski (Eds.), SIGSPATIAL/GIS (pp. 70:1–70:4). ACM. http://dblp.uni-trier.de/db/conf/gis/gis2017.html#BahrdtFGS17
  9. Bahrdt, D., Becher, M., Funke, S., Krumpe, F., Nusser, A., Seybold, M., & Storandt, S. (2017). Growing Balls in ℝd. In S. P. Fekete & V. Ramachandran (Eds.), ALENEX (pp. 247–258). SIAM. http://dblp.uni-trier.de/db/conf/alenex/alenex2017.html#BahrdtBFKNSS17
  10. Hundt, M., Schneider, B., El-Assady, M., Keim, D. A., & Diehl, A. (2017). {Visual Analysis of Geolocated Echo Chambers in Social Media}. In A. P. Puig & T. Isenberg (Eds.), EuroVis 2017 - Posters. The Eurographics Association. DOI: 10.2312/eurp.20171185
  11. Funke, S., Schnelle, N., & Storandt, S. (2017). URAN: A Unified Data Structure for Rendering and Navigation. In D. Brosset, C. Claramunt, X. Li, & T. Wang (Eds.), W2GIS (Vol. 10181, pp. 66–82). http://dblp.uni-trier.de/db/conf/w2gis/w2gis2017.html#FunkeSS17
  12. Budig, B., & van Dijk, T. C. (2017). Journeys of the Past: A Hidden Markov Approach to Georeferencing Historical Itineraries. In C. B. Jones & R. S. Purves (Eds.), GIR'17 Proceedings of the 11th Workshop on Geographic Information Retrieval (pp. 7:1–7:10). ACM. DOI: 10.1145/3155902.3155906
  13. van Dijk, T. C., & Wolff, A. (2017). Algorithmically-Guided User Interaction. In E. Hoel, S. D. Newsam, S. Ravada, R. Tamassia, & G. Trajcevski (Eds.), SIGSPATIAL'17 Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (pp. 11:1–11:4). ACM. DOI: https://doi.org/10.1145/3139958.3140032

2016

  1. {Krueger}, R., {Sun}, G., {Beck}, F., {Liang}, R., & {Ertl}, T. (2016). TravelDiff: Visual comparison analytics for massive movement patterns derived from Twitter. 2016 IEEE Pacific Visualization Symposium (PacificVis), 176–183. DOI: 10.1109/PACIFICVIS.2016.7465266

2015

  1. {Thom}, D., {Krüger}, R., {Ertl}, T., {Bechstedt}, U., {Platz}, A., {Zisgen}, J., & {Volland}, B. (2015). Can twitter really save your life? A case study of visual social media analytics for situation awareness. 2015 IEEE Pacific Visualization Symposium (PacificVis), 183–190. DOI: 10.1109/PACIFICVIS.2015.7156376

conference

2018

  1. Westerholt, R. (2018). The impact of the spatial superimposition of point based statistical configurations on assessing spatial autocorrelation. Proceedings of the 21st AGILE Conference on Geographic Information Science.

2016

  1. Haag., F., Krüger., R., & Ertl., T. (2016). VESPa: A Pattern-based Visual Query Language for Event Sequences. Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: IVAPP, (VISIGRAPP 2016), 48–59. DOI: 10.5220/0005716900480059

proceedings

2018

  1. Chen, S., Li, J., Andrienko, N., & Andrienko, G. (2018). TopicWave: Interactive Visual Analytics of Spatiotemporal Topics Distribution of People’s Reactions to Events from Geo-tagged Social Media.
  2. Westerholt, R., Mocnik, F.-B. M., & Zipf, A. (Eds.). (2018). On the Way to Platial Analysis: Can Geosocial Media Provide the Necessary Impetus? Proceedings of the 1st Workshop on Platial Analysis (PLATIAL'18). DOI: 10.5281/zenodo.1475269

2017

  1. Fathi, R., & Fiedrich, F. (2017). Motivation and Participation of Digital Volunteer Communities in Humanitarian Assistance. http://idl.iscram.org/files/tinacomes/2017/1440_TinaComes_etal2017.pdf

Book Chapters

2018

  1. Storandt, S. (2018). Region-Aware Route Planning. In Web and Wireless Geographical Information Systems (pp. 101–117). Springer International Publishing. DOI: 10.1007/978-3-319-90053-7_11
  2. Fiedrich, F., & Fathi, R. (2018). Humanitäre Hilfe und Konzepte der digitalen Hilfeleistung. In Sicherheitskritische Mensch-Computer-Interaktion: Interaktive Technologien und Soziale Medien im Krisen- und Sicherheitsmanagement (pp. 509–528). Springer Vieweg. DOI: https://doi.org/10.1007/978-3-658-19523-6_25
  3. Freksa, C., & Kreutzmann, A. (2018). Neighborhood, Conceptual. In The International Encyclopedia of Geography (pp. 1–12). DOI: 10.1002/9781118786352.wbieg0935