Visualization, Data visualization, Geovisualization, Graphics and Human–computer interaction are his primary areas of study. His Visualization research includes elements of Cartography, Information overload and Data science. His biological study spans a wide range of topics, including Agile software development and User interface.
His work carried out in the field of Data visualization brings together such families of science as Statistical graphics, Information visualization and Rendering. His Geovisualization research is multidisciplinary, incorporating perspectives in Visual analytics, Representation and Geographic information system. His Graphics study which covers Spatial analysis that intersects with Transient, Graphical user interface and Scripting language.
His main research concerns Visualization, Data science, Geovisualization, Human–computer interaction and Data visualization. Jason Dykes works mostly in the field of Visualization, limiting it down to topics relating to Graphics and, in certain cases, Scale. His study looks at the intersection of Data science and topics like Visual analytics with Analytics.
His work in Geovisualization addresses subjects such as Geographic information system, which are connected to disciplines such as Information retrieval. His Human–computer interaction study incorporates themes from Interactive visualization, Space, Spatial analysis and Computer graphics. His Data visualization study frequently draws connections to other fields, such as Multimedia.
His primary scientific interests are in Visualization, Data science, Human–computer interaction, Data visualization and Data mining. His Visualization study frequently links to related topics such as Engineering design process. His studies in Data science integrate themes in fields like Domain and Reflection.
His study on Human–computer interaction also encompasses disciplines like
Jason Dykes spends much of his time researching Visualization, Data visualization, Data mining, Geovisualization and Variable. His Visualization study combines topics in areas such as Data science, Domain, Human–computer interaction and Engineering design process. His Data visualization research integrates issues from Reflexivity, Engineering ethics and Social constructionism.
His study in Data mining is interdisciplinary in nature, drawing from both Spatial analysis, Set and Feature selection. His Geovisualization study integrates concerns from other disciplines, such as Geospatial analysis and Choropleth map. His research in Variable intersects with topics in Simulated annealing, Scale, Theoretical computer science, Multivariate analysis and Multivariate statistics.
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Space, time and visual analytics
Gennady Andrienko;Natalia Andrienko;Urska Demsar;Doris Dransch.
International Journal of Geographical Information Science (2010)
Interactive Visual Exploration of a Large Spatio-temporal Dataset: Reflections on a Geovisualization Mashup.
J. Wood;J. Dykes;A. Slingsby;K. Clarke.
IEEE Transactions on Visualization and Computer Graphics (2007)
Visualisation of Origins, Destinations and Flows with OD Maps
Jo Wood;Jason Dykes;Aidan Slingsby.
Cartographic Journal (2010)
Exploring spatial data representation with dynamic graphics
Jason A. Dykes.
Computers & Geosciences (1997)
Spatially Ordered Treemaps
J. Wood;J. Dykes.
IEEE Transactions on Visualization and Computer Graphics (2008)
Geovisualization of dynamics, movement and change: key issues and developing approaches in visualization research
Gennady Andrienko;Natalia Andrienko;Jason Dykes;Sara Irina Fabrikant.
Information Visualization (2008)
Seeking structure in records of spatio-temporal behaviour: visualization issues, efforts and applications
J. A. Dykes;D. M. Mountain.
Computational Statistics & Data Analysis (2003)
Visualizing the Dynamics of London's Bicycle-Hire Scheme
Jo Wood;Aidan Slingsby;Jason Dykes.
Cartographica: The International Journal for Geographic Information and Geovisualization (2011)
Representation and Its Relationship with Cartographic Visualization
David Fairbairn;Gennady Andrienko;Natalia Andrienko;Gerd Buziek.
Cartography and Geographic Information Science (2001)
Human-Centered Approaches in Geovisualization Design: Investigating Multiple Methods Through a Long-Term Case Study
D. Lloyd;J. Dykes.
IEEE Transactions on Visualization and Computer Graphics (2011)
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