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Blue Raster Natureserve Synergy Workshop Presentation
Blue Raster, founded in 2002, specializes in GIS and web application development, focusing on interactive mapping and advanced data analytics. The document highlights the historical importance of spatial analysis, from John Snow's cholera mapping to modern applications like tree cover loss analysis and biodiversity indicators. It emphasizes the transformational power of open data access and advanced mapping tools in addressing environmental challenges.
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Blue Raster Natureserve Synergy Workshop Presentation
- 1. Corporate Capabilities forBlue Raster 2012 Promoting Synergy in the Innovative Use of Environmental Data Workshop December 3, 2015 Michael Lippmann, Co-Founder and Principal
- 2. Michael Lippmann -Blue Raster • Specialists in GIS and Web Application Development • Core Capabilities: – Interactive Web Mapping Applications – Mobile Apps – Advanced Data Analysis • Small business formed in 2002 • Headquarters in Arlington, VA with clients worldwide
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- 4. From Data ToVisualization We’ve been using maps for informatics since the 1800’s
- 5. London Cholera Outbreak– John Snow LONDON, 1854 In 3 days over 120 dead in London John Snow was skeptical pollution was the cause- so he mapped the incidences and found patterns
- 6. London Cholera Outbreak-Early Spatial Analysis Discovered all cases were clustered around this pump Early example of power of spatial analysis/informatics
- 7. New spatial techniquesenables Data Fusion AnalysisDots on maps Synthesis of new
- 8. Success Story- Landsat,1964 Producing big data before data was “big” Landsat data collected en masse without knowing all the ways it would be used in the future
- 9. Investment in Collectionof Data - Unknowns Vision to collect data for years/decades Today we can unlock value of data and put it to use
- 10. Value of Foresight Withoutdata archives, today’s studies would be impossible to undertake
- 11. 1880 Census: MappingEducation Data
- 12. Maps Help CopeWith Today’s Information Ocean
- 13. Motivating Change WithEnvironmental Data Tree Cover Loss from 2001-2014 Matt Hansen, University of Maryland Department of Geographical Sciences Tree Cover Loss from 2001- 2014 Matt Hansen, University of Maryland Department of Geographical Sciences
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- 16. Discover Unseen Patternsand Connections Matt Hansen, University of Maryland Department of Geographical Sciences
- 17. Discover Unseen Patternsand Connections
- 18. Frontier - 3DVisualization
- 19. Webmaps and StoryMaps Have Increased Access Interactive platform to engage stakeholders and unlock your data
- 20. WRI Global ForestWatch Fires
- 21. Interpolated Wind showswhere the haze is heading
- 22. NatureServe Biodiversity IndicatorsDashboard
- 24. UNICEF Unless WeAct Now Report Drought Risk Map
- 25. Maps that tellnew stories are important
- 26. Bioinformatics- Camera Trapsto Species Ranges
- 27. WRI Aqueduct WaterRisk Atlas – Decision Support
- 28. Transformational Power ofData - Lessons Learned • Power of spatial analysis is rapidly advancing • Collection of data enables analysis (for value it must be open and available) Ease of access to data + powerful tools for
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- 30. Questions? Michael Lippmann mlippmann@blueraster.com 703-875-0914 Blue Raster 2200Wilson Blvd Arlington, VA blueraster.com Connect with Blue Raster: @blueraster facebook.com/blueraster
Editor's Notes
- #3 we are a services organization - provide consulting to our clients and application architecture and development
- #5 The ability to visualize the implications of data is as old as humanity itself.
- #6 -1854, massive cholera outbreak in Soho, London – in 3 days over 120 people died from the disease. -Snow was skeptical of popular theory that cholera was caused by pollution -Plotted the locations of the deaths on a map
- #7 -Discovered they clustered around a pump in Broad Street. -Snow's efforts to connect the incidence of cholera with potential geographic sources is one of the first examples of using geographical analysis and informatics to solve real-world, complex problems.
- #9 At the time Landsat data was started it was hard to tell its full value
- #12 First time GIS is used
- #16 Billions of points on the map, but how do you make sense of it? Taking your env. data, doing well thought out analysis, and ending up with narratives
- #17 Billions of points on the map, but how do you make sense of it? Taking your env. data, doing well thought out analysis, and ending up with narratives
- #18 Billions of points on the map, but how do you make sense of it? Taking your env. data, doing well thought out analysis, and ending up with narratives
- #20 -Instead of data locked up in a PDF, it becomes accessible to anyone on the web -DevAlert! -GFW Fires story map
- #23 Country dashboard view provides stats on: -biodiversity -land type -socioeconomics
- #28 -Sliders to enable users to adjust the data they’re visualizing