Access the full text.
Sign up today, get DeepDyve free for 14 days.
S. Fabrikant, Amy Lobben (2009)
Introduction: Cognitive Issues in Geographic Information VisualizationCartogr. Int. J. Geogr. Inf. Geovisualization, 44
P. Agarwal, A. Skupin (2008)
Self-organising maps : applications in geographic information science
S. Openshaw (2008)
Modifiable Areal Unit Problem
A. MacEachren, M. Kraak (2001)
Research Challenges in GeovisualizationCartography and Geographic Information Science, 28
L. Anselin (1989)
What is Special About Spatial Data? Alternative Perspectives on Spatial Data Analysis (89-4)
W. Tobler (1970)
A Computer Movie Simulating Urban Growth in the Detroit RegionEconomic Geography, 46
Gary Yen (2018)
Self-Organizing MapsIntelligent Systems
T. Hägerstrand (1970)
What about people in Regional Science?Papers of the Regional Science Association, 24
G. Andrienko, N. Andrienko, J. Dykes, S. Fabrikant, M. Wachowicz (2008)
Geovisualization of Dynamics, Movement and Change: Key Issues and Developing Approaches in Visualization ResearchInformation Visualization, 7
P. Laube, R. Purves (2011)
Cross-scale movement trajectory analysis
D. Peuquet (1994)
It's About Time: A Conceptual Framework for the Representation of Temporal Dynamics in Geographic Information SystemsAnnals of The Association of American Geographers, 84
Torsten Hägerstraand (1970)
WHAT ABOUT PEOPLE IN REGIONAL SCIENCE, 24
D. Keim, G. Andrienko, Jean-Daniel Fekete, C. Görg, J. Kohlhammer, G. Melançon (2008)
Visual Analytics: Definition, Process, and Challenges
A. MacEachren, Isaac Brewer (2004)
Developing a conceptual framework for visually-enabled geocollaborationInternational Journal of Geographical Information Science, 18
P. Thompson, O. Arias-Vasquez, A. Bearden, R. Buckner, J. Bulayeva, K. Cohen, R. Conrod, S. Smit, J. Stein, D. Stein, J. Toro, Turner, J. Heuvel, M. Heuvel, O. Erp, Van Rooij, J. Whelan, C. Wright, P. Thompson, O. Andreassen, A. Arias-Vásquez, Carrie Bearden, P. Boedhoe, R. Brouwer, R. Buckner, J. Buitelaar, K. Bulayeva, D. Cannon, Ronald Cohen, Patricia Conrod, Anders Dale, I. Deary, E. Dennis, M. Reus, S. Desrivières, Danai Dima, G. Donohoe, Simone Fisher, J. Fouche, C. Francks, Sophia Frangou, Barbara Franke, Habibganjgahi Ac, Hugh Garavan, D. Glahn, H. Grabe, Tulio Guadalupe, B. Gutman, R. Hashimoto, D. Hibar, Dominic Holland, M. Hoogman, H. Pol, N. Hosten, N. Jahanshad, S. Kelly, Peterkochunov Al, W. Kremen, Philh Lee, S. Mackey, Nicholas Martin, Bernard Mazoyer, Colmmcdonald, S. Medland, R. Morey, Thomas Nichols, L. Schmaal, Gunter Schumann, Li Shen, S. Sisodiya, D. Smit, Jordan Smoller, D. Stein, Jason Stein, Roberto Toro, Jessica Turner, M. Heuvel, Odile Heuvel, T. Erp, D. Rooij, D. Veltman, H. Walter, Yalin Wang, Bo, Joanna Wardlaw, C. Whelan, Margaret Wright, Jieping Ye, Vincent Calhoun, S. Lawrie, Janaina Mourao-Miranda, Klaas Stephan
City Research Online
James Thomas, Kristin Cook (2005)
Illuminating the Path: The Research and Development Agenda for Visual Analytics
(2010)
Downloaded By: [Geographisches Institut der Univ Zuerich] At: 18:28 6
G. Andrienko, N. Andrienko, S. Bremm, T. Schreck, T. Landesberger, Peter Bak, D. Keim (2010)
Space‐in‐Time and Time‐in‐Space Self‐Organizing Maps for Exploring Spatiotemporal PatternsComputer Graphics Forum, 29
J. Wood (2005)
Multim im parvo— Many Things in a Small Place
M. Haklay, J. Morley, H. Rahemtulla (2010)
Proceedings of the GIS Research UK 18th Annual ConferenceGISRUK 2010
(2005)
Exploring Geovisualization, Amsterdam: Elsevier
Urška Demšar, K. Virrantaus (2010)
Space–time density of trajectories: exploring spatio-temporal patterns in movement dataInternational Journal of Geographical Information Science, 24
J. Wood, J. Dykes (2008)
Spatially Ordered TreemapsIEEE Transactions on Visualization and Computer Graphics, 14
W. Mackaness, A. Ruas, L. Sarjakoski (2007)
Generalisation of Geographic Information: Cartographic Modelling and Applications
S. Rana, J. Dykes (2003)
A Framework for Augmenting the Visualization of Dynamic Raster SurfacesInformation Visualization, 2
W. Aigner, S. Miksch, B. Thurnher, S. Biffl (2005)
PlanningLines: novel glyphs for representing temporal uncertainties and their evaluationNinth International Conference on Information Visualisation (IV'05)
A. MacEachren (1994)
Visualization in Modern Cartography: Setting the Agenda, 2
Sherry Koshman (2009)
Information Visualization: Human-Centered Issues and PerspectivesJ. Assoc. Inf. Sci. Technol., 60
N. Andrienko, G. Andrienko (2005)
Exploratory analysis of spatial and temporal data - a systematic approach
Mark Harrower (2004)
A Look at the History and Future of Animated MapsCartogr. Int. J. Geogr. Inf. Geovisualization, 39
A. Slingsby, J. Dykes, J. Wood (2009)
Configuring Hierarchical Layouts to Address Research QuestionsIEEE Transactions on Visualization and Computer Graphics, 15
C. Leibold, J. Hemmen (2002)
Mapping timeBiological Cybernetics, 87
W. Aigner, S. Miksch, Wolfgang Müller, H. Schumann, C. Tominski (2008)
Visual Methods for Analyzing Time-Oriented DataIEEE Transactions on Visualization and Computer Graphics, 14
A. MacEachren, A. Robinson, S. Hopper, Steven Gardner, Robert Murray, M. Gahegan, E. Hetzler (2005)
Visualizing Geospatial Information Uncertainty: What We Know and What We Need to KnowCartography and Geographic Information Science, 32
G. Langran (1990)
Time in Geographic Information SystemsGeocarto International, 7
C. Tominski, H. Schumann (2008)
Enhanced Interactive Spiral Display
J. Larkin, H. Simon (1987)
Why a Diagram is (Sometimes) Worth Ten Thousand WordsCogn. Sci., 11
Terry Slocum, C. Blok, B. Jiang, A. Koussoulakou, D. Montello, S. Fuhrmann, N. Hedley (2001)
Cognitive and Usability Issues in GeovisualizationCartography and Geographic Information Science, 28
A. MacEachren, M. Kraak (1997)
Exploratory cartographic visualization: advancing the agendaComputers & Geosciences, 23
S. Fabrikant, S. Hespanha, M. Hegarty (2010)
Cognitively Inspired and Perceptually Salient Graphic Displays for Efficient Spatial Inference MakingAnnals of the Association of American Geographers, 100
Visual analytics aims to combine the strengths of human and electronic data processing. Visualisation, whereby humans and computers cooperate through graphics, is the means through which this is achieved. Seamless and sophisticated synergies are required for analysing spatio-temporal data and solving spatio-temporal problems. In modern society, spatio-temporal analysis is not solely the business of professional analysts. Many citizens need or would be interested in undertaking analysis of information in time and space. Researchers should find approaches to deal with the complexities of the current data and problems and find ways to make analytical tools accessible and usable for the broad community of potential users to support spatio-temporal thinking and contribute to solving a large range of problems.
International Journal of Geographic Information Science – Taylor & Francis
Published: Oct 11, 2010
Keywords: geovisualisation; research agenda; spatio-temporal data; users
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.