Geospatial visual analytics
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by Nele Coghe, Luciad
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Geospatial visual analytics
- 1. GEOSPATIAL VISUAL ANALYTICS Nele Coghe Product Marketing Manager at Luciad, Leuven
- 2. GEOSPATIAL VISUAL ANALYTICS Agenda What is Visual Analytics? 1 Geospatial Visual Analytics 2
- 4. WHAT IS VISUAL ANALYTICS? "The science of analytical reasoning facilitated by interactive visual interfaces" Definition
- 5. WHAT IS VISUAL ANALYTICS? "The science of analytical reasoning facilitated by interactive visual interfaces" Definition
- 6. WHAT IS VISUAL ANALYTICS? 2 3 4 4 7 9 1 1 5 3 8 5 4 8 6 3 1 3 5 8 3 6 2 3 6 4 8 3 2 5 1 5 4 5 6 1 7 3 7 9 1 3 6 3 7 9 8 6 2 3 2 8 4 2 8 5 8 2 5 4 6 2 1 8 1 6 7 5 1 3 4 7 2 4 6 1 3 2 4 9 8 5 2 4 8 2 8 7 9 6 7 8 5 6 7 5 9 1 3 7 1 4 5 8 2 3 1 6 4 7 2 7 6 3 7 5 3 7 3 6 4 1 6 1 8 5 6 2 8 4 6 8 6 3 1 8 3 7 8 5 3 3 7 3 4 3 4 2 6 4 8 7 6 5 1 9 2 1 2 6 6 9 1 6 9 7 6 4 8 8 1 7 4 8 1 3 How many nines do you see?
- 7. WHAT IS VISUAL ANALYTICS? 2 3 4 4 7 9 1 1 5 3 8 5 4 8 6 3 1 3 5 8 3 6 2 3 6 4 8 3 2 5 1 5 4 5 6 1 7 3 7 9 1 3 6 3 7 9 8 6 2 3 2 8 4 2 8 5 8 2 5 4 6 2 1 8 1 6 7 5 1 3 4 7 2 4 6 1 3 2 4 9 8 5 2 4 8 2 8 7 9 6 7 8 5 6 7 5 9 1 3 7 1 4 5 8 2 3 1 6 4 7 2 7 6 3 7 5 3 7 3 6 4 1 6 1 8 5 6 2 8 4 6 8 6 3 1 8 3 7 8 5 3 3 7 3 4 3 4 2 6 4 8 7 6 5 1 9 2 1 2 6 6 9 1 6 9 7 6 4 8 8 1 7 4 8 1 3 How many nines do you see?
- 8. WHAT IS VISUAL ANALYTICS? Which region had the most profitable month? Region January February March April May June July August September October November December Grand Tota Central $9.03 $999.50 $679.14 $689.13 $306.61 $1,947.43 $1,008.17 $1,553.14 $86.43 $686.95 $1,868.54 $1,305.00 $11,139.0 East $1,828.20 $174.65 $255.84 $479.04 $874.76 $299.85 $309.38 $1,722.66 $57.71 $6,002.0 West $291.17 $1,139.43 $167.44 $63.68 $825.00 $2,486.7 Grand Total $1,837.23 $1,465.32 $1,818.57 $944.97 $953.09 $2,822.19 $1,308.02 $1,553.14 $459.49 $2,409.61 $1,868.54 $2,187.71 $19,627.8
- 9. WHAT IS VISUAL ANALYTICS? Which region had the most profitable month? $0.00 $200.00 $400.00 $600.00 $800.00 $1,000.00 $1,200.00 $1,400.00 $1,600.00 $1,800.00 $2,000.00 January February March April May June July August September October November December West East Central
- 10. WHAT IS VISUAL ANALYTICS? •Classic visualizations are widespread •Only 25% organizations use geospatial and location intelligence capabilities (Gartner) •Already in 1854 by John Snow In practice
- 11. WHAT IS VISUAL ANALYTICS? Who is John Snow?
- 12. WHAT IS VISUAL ANALYTICS? Who is John Snow?
- 13. WHAT IS VISUAL ANALYTICS? The Cholera Map by John Snow • 616 victims of Cholera in London • Not transmitted by the air but by the water • The source of the disease was a water pump on Broad Street
- 14. WHAT IS VISUAL ANALYTICS? "The science of analytical reasoning facilitated by interactive visual interfaces" Definition
- 16. 5 CHALLENGES FOR GEOSPATIAL VISUAL ANALYTICS • Different Projections • Different Dimensions • Data Aggregation • Multiple representations • User Interaction
- 17. GEOSPATIAL VISUAL ANALYTICS? Challenge #1: Different projections
- 18. GEOSPATIAL VISUAL ANALYTICS Challenge #2: Different dimensions
- 19. GEOSPATIAL VISUAL ANALYTICS Challenge #3: Data Aggregation
- 20. GEOSPATIAL VISUAL ANALYTICS Challenge #3: Data Aggregation
- 21. GEOSPATIAL VISUAL ANALYTICS Challenge #4: User interaction
- 22. GEOSPATIAL VISUAL ANALYTICS Challenge #4: User interaction
- 23. GEOSPATIAL VISUAL ANALYTICS Challenge #5: Multiple representations
Editor's Notes
- This is visual analytics in its simplest form, by adding the color a specific pattern immediately stands out.
- Bar charts just so happen to be one of the best visualizations for comparing data.
- John Snow mapped the cases. The map represents each death as a bar. They are clustered around the pump in Broad street.
- A requirement that is very specific for geospatial VA is the ability to handle different coordinate systems and projections. For example when you want to analyse vessel traffic around the North Pole, you should be able to use a polar stereographic projection .
- We already know since Colombus that the world is round, but until recent maps were always flat. Maps in 3D can add a lot af value for instance when hight is important but when you want to keep an overview 2D stays important . So the ideal interactive visual interface can easily switch between 2D and 3D.
- By determining which objects in a visible area are similar, and by displaying similar objects as one clustered object, your map quickly clears up. As you zoom into the map, the object cluster dissolves again into distinct objects.
- Another way to detect variation or correlation between images is a side-by-side comparison in quick succession. Luciad’s swipe controller allows users to swipe between two layer sets that cover the same area.
- It’s not because you want to analyse geospatial data, that you’re only interested in seeing maps. You also want to see your data in a different representation. Here you see a map on the right visualizing a sailing competition and left of it there are various non-geospatial objects showing parameters like wind, speed and optimal direction.