transforming data into information with interactive and highly responsive web-based heatmaps

1. Big Geo-Data Analysis
'Transforming DATA into INFORMATION'
Jiří Bouchal
Big & Open Data and Open Software Workshop
January 2018
Novotného lávka, Praha, Czechia

2. Transforming Data into Information
„The purpose of visualization is insight,
not pictures“
- Ben Shneiderman, 1994

3. 3
Acting on data-driven insights
There is a big difference between raw data and
information

4. Big Data Visualization with
WebGLayer
• JavaScript library (open source)
• Big data visualisation through web browser
• Visualisation of point and linear data

5. Features
• Interactive visualisation of up to 1.5 mil data records
• Response time below 100ms
• Compatible with 3rd party map API (Leaflet, Google maps)
✓ Interactivity
✓ Scalability
✓ Responsiveness
✓ Web-based, no specific GIS software

6. Outperforming Competitors
6
Test Results
● Datasets of up to 1.5M points tested on usual laptop
● ArcGIS Online fails to load more then 100K points
● Google Maps API loads 1M points after 6.5s. Leaflet after 2s
● WebGL loads 1.5M points in 0.1s

7. 7
UK 1.5 million traffic accidents

8. Fast Interactions
Linked views: dynamic data filtering and zooming

9. Live Demonstration Flanders
9
Flanders
● identification of traffic accident hotspots
nearby schools on weekdays between 7-
9h
● Discover deadly accidents in the Antwerp
area by applying polygon filter(amount,
locations, times)
http://innoconnect.net/apps/flanders-
traffic-accidents/

10. Live Demonstration: Traffic
10
Turnhout, Belgium
● Traffic flow recorded by one camera
● Driving patterns among cameras
http://innoconnect.net/development/mac
q-uc3/

11. Live Demonstration Chicago
11
● See the distribution of crimes over time and space (e.g.
prostitution, homicide, interference with p.off.)
● Chicago (600 homicides in 10 month/population 2.7M) vs. Czechia
150 homicides a year/10M)
● Prostitution 600 (all arrested) vs. homicides 600 (only 100
arrested)
● Discover districts and streets with high risk of certain
crime type (car theft, drugs, burglary etc.)
● Identify patterns: e.g. weapons, narcotics, gambling and
prostitution in same areas
● 50k+ thefts. Most in downtown (6k+)
● Battery, robbery and assault (40+10+15k) – west and south
● Identify downtown nightlife areas with highest criminality

12. Wide Range of Potential Use
12
● Criminality data - discovering risky areas
○ Parking offenses
○ Thefts, burglaries, robberies
○ Gambling
○ Motor vehicles thefts
○ Public peace violations etc.
● Traffic accidents analysis

13. Wide Range of Potential Use
13
● Traffic intensity data
from road sensors and
cameras
● Parking occupancy
analysis and availability
prediction
● Water management
companies
○ Water usage
○ Water losses caused by
pipe leaks and failures

14. Next Developments
14
Traffic flow visualisation - Flanders
Traffic accidents - Belgium
Traffic intensity - Plzeň
? Criminal offenses - Plzeň

15. New Features
15
Point details
accessible
from map

16. New Features
16
New Colour Schemes for Heatmaps

17. New Features
17
Re-designed charts

18. Support & Collaborations
18

19. 1
9
http://innoconnect.net/applications/
Try It Yourself!

20. THANK YOU.
Any Questions?
20
jiri.bouchal@innoconnect.net
@InnoConnect_net
@JiriBouchal