Geovisual Analytics Exploring and analyzing large spatial and multivariate data. Prof Mikael Jern & Civ IngTobias Åström.

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1 Geovisual Analytics Exploring and analyzing large spatial and multivariate data Prof Mikael Jern & Civ IngTobias Åström Agenda Introduction to a Geovisual Analytics Demo Explore OECD data GAV Toolkit Demo very large spatial Swedish Zip code data Spatial-temporal and multivariate data Demo - Communicate result and knowledge Conclusion 1

2 Partners and Funding Group Director: Professor Mikael Jern Geovisual Analytics - Definition The science of analytical reasoning facilitated by interactive visual interfaces; Exploring and analyzing large spatial-temporal tempo al and multivariate data; Discern trends or patterns - derive insight and draw conclusions; Communicate discovery and knowledge effectively for action; Moving Research into Practice 2

3 Scope of Visual Analytics and Related Sciences Scientific Visualization Information Visualization Interactive Performance Geo Visualization Presentation Communication Visual Analytics Visual Query Filter Cognitive Perceptual Science Visual Data Mining Data Transformation Statistical Analysis Background - Definition Geovisual Analytics Explore and analyse voluminous nature of social scientific, environmental, energy, logistics and economic data; Geovisual Analytics is now actively pursued by research groups worldwide; Our objective is to provide effective Geovisual Analytics tools for exploring large time variant and multivariate attributes simultaneous including a spatial dimension; We present a toolkit called GAV for customizing Geovisual Analytics applications; We present a number of GeoWizard applications such as a World or OECD Data Explorer Free available 3

4 World Map Pop an example of a small data set Belgium OECD European TL3 data Pop Growth

5 Interact with data from different perspectives simultaneously Multiple-linked and Coordinated Views Map View Table Lens Scatter Plot Scatter Matrix List View Parallel Coordinates Background - Definition Geovisual Analytics 5

6 The 3 Dimensions Spatial Temporal and Multivariate Data Shape Coordinate Data and Attribute Excel Data Shape (map) Coordinate data with region ID Region ID Attribute Data 6

7 spatial attributes EXCEL Parallel Coordinates Multivariate Geovisual Analytics and Parallel Coordinates Profile for Belgium 7

8 Compare Profiles for two Countries CLUSTER USA Spain Parallel Coordinates Exploration Tools Histogram Mean, Median Dynamic Filter Percentiles Outliers Focus 8

9 Geovisual Analytical Reasoning Process Gather information Tasks? Visual representation Choose visual forms that aid analysis Develop insight Through exploration and dynamic visual inquiries Produce results (knowledge) Presentation, Communication and Story Telling 9

10 Geovisual Analytics - GAV toolkit 10

11 GeoAnalytics Visualization GAV Framework GAV is based on C# and.net Integrates with Visual Studio; Optimized for Interaction we use DirectX; Client-based approach for data exploration; Appropriate for multiple-linked views applications; 3D data model for spatial-temporal and multivariate attribute data; Integrated mechanism for saving and packaging the results of a visual reasoning process; Public Domain Software; 11

12 Glue GAV components together to build a tailor-made GeoAnalytics application Table lens Scatter Plot Scatter Matrix Parallel Coordinates Map Excel Data Reader Geowizard Application Glue GAV components together with Visual Studio One panel hosts one or more visualizations Improves view organizing Splitters and resizable 12

13 Explore World data Flood Viewer 3D Oceanographic Visualization Interactive Visual Interface Interactivity and Information Density Avoid traditional GUI elements and pop-ups; Maximum screen area reserved for visualization; Optimized performance; Interactivity is embedded in the Components Brushing, picking, drag-and-drop, move splitters, zoom, pan, query and filter, focus & context; 13

14 GeoZip 10,000 zip code regions Spatial Temporal and Multivariate Energy Data See the whole visual analysis 14

15 Spatial Temporal and Multivariate Energy Data See the whole visual analysis Spatial Temporal and Multivariate Energy Data See the whole visual analysis removed 15

16 Step1: Explorative Data Analysis Step2: Collaborative and Communicate Analytical Reasoning 16

17 Interactive Visualization embedded into HTML Documents DEMO1 Conclusion Applications or Toolkit for Geovisual Analytics Low learning threshold; Easy and flexible data access through Excel; Multiple-linked views applications becomes easy; Scalable applications easy to replace a component; Shorten development time by utilising already developed and assessed components; We have released publicly applications and toolkit, please visit Special thanks to Lars Thygesen and staff for providing OECD data and shape files for this presentation 17

18 Challenges for our GeoVisual Analytics Research Agenda Large spatial-temporal and multivariate data; Integrate statistics and data transformation; Explore uncertainty in data; Integrated Explorative Data Analysis and Communication through Snapshots and Story Telling; Expand GAV with Atomic VA components for more scalability; Make and Visual Analytics available to research & education, industry and governmental institutions; Comprehensive and usable Web site: Demonstrators, education material, GAV Framework Prof Mikael Jern Linköping University, Sweden Thank you!!! 18