Big Data Discovery and Visualisation Insights for ArcGIS

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1 Big Data Discovery and Visualisation Insights for ArcGIS Create Enrich - Collaborate Lee Kum Cheong GIS CONVERSATIONS

2 At Esri, we believe people can do amazing things with applied geography. GIS CONVERSATIONS Lee Kum Cheong Solution Specialist

3 About Esri Building a sustainable future through geographic insight Esri Singapore South Asia World Leader in GIS Founded in 1969 Redlands California Privately Owned Company Invests over 20% of annual revenue in R&D Over 1 million users in over 200 countries Established in 1981 A subsidiary of Boustead Singapore Limited Used by fortune 500 companies, National & local governments, public utilities and teach start-ups ARC Advisory Group reports that Esri has 43% market share in the global (GIS) market, compared to just 11% market share from the second-largest supplier Smart Mapping Pioneer Making available the quantitative analysis of GIS to everyone through smart devices. Over 350,000 User Organizations

4 Big data is not about the data. Gary King Harvard University Director, Inst. For Quantitative Social Science (Making the point that while data is plentiful and easy to collect, the real value is in the analytics)

5 GIS Transforms Big Data into Big Insights Providing a vocabulary for examining how geography intersects with your business understanding WHERE 1. Understanding where things are (location maps). 2. Understanding where the variations and patterns in values are (comparative maps). measuring SIZE, SHAPE, AND DISTRIBUTION 4. Calculating individual feature geometries. 5. Calculating geometries and distributions of feature collections. determining HOW PLACES ARE RELATED 6. Determining what is nearby or coincident. 7. Determining and summarizing what is within an area(s). finding THE BEST LOCATIONS AND PATHS 11. Finding the best locations that satisfy a set of criteria. 12. Finding the best allocation of resources to geographic areas. detecting & quantifying PATTERNS 16. Where are the significant hot spots, anomalies, and outliers? 17. What are the local, regional, and global spatial trends? making PREDICTIONS 20. Given a success case, identifying, ranking, and predicting similar locations. 21. Finding the factors that explain observed spatial patterns and making predictions. 3. Understanding where and when things change. 8. Determining what is closest. 9. Determining what is visible from a given location(s). 10. Determining overlapping relationships in space and time. 13. Finding the best route, path, or flow along a network. 14. Finding the best route, path, or corridor across open terrain. 15. Finding the best supply locations given known demand and a travel network. 18. Which features/pixels are similar, and how can they be grouped together? 19. Are spatial patterns changing over time? 22. Interpolating a continuous surface and trends from discrete sample observations. 23. Predicting how and where objects spatially interact (attraction and decay). 24. Predicting how and where objects affect wave propagation. 25. Predicting where phenomena will move, flow, or spread. 26. Predicting what-if.

6 Data is important However, not as important as the answers it provides or the stories and discoveries it can reveal...

7 Insights for ArcGIS Transforming Understanding with Interactive Analysis New Paradigm for Analysis (Visual, Intuitive, Responsive) Optimized Access to GIS, Enterprise, and Big Data New Analysis Experience Linked and Responsive Charts and Maps On-The-Fly Visual Models Integrated Spatial and Tabular Analysis Extending and Complimenting Traditional Analysis Supporting a System of Insight

8 Let s see it

9 Analytic Projects Workbook, Pages, and Cards

10 Insights for ArcGIS What data does Insights work with? Feature Layers Excel Workbooks GeoDatabase Business Databases Big Data Real-time data

11 GeoAnalytics Server Portal ArcGIS Enterprise Hosting Server DataStore GeoAnalytics Cluster Save Result GeoAnalytics Server xn Read

12 Adding Data to Insights Connect to Data - Select Data Source - Select Layers/Tables - Add Data

13 Start with the questions to help find the answers

14 The list of Questions 1 How is it distributed/clustered? Summarize Within Calculate Density Classification Histogram Hot Spot 3 How has it changed/different? Overlay % Change Line Graph 2 What s Nearby? Find Nearest Spatial Selection Buffer/ Drivetime Routing 4 How is it related/ different? Overlay Find Similar Enrich Data Scatterplot

15 Analysis through Interactivity

16 Sharing the stories Share with your ArcGIS Organizations Share all or selected Cards Embed Selected cards with full interactivity on web sites or PowerPoint Share Workflows/Models

17 In summary Exploratory and Interactive Spatial Analysis Core capability in ArcGIS Focus on GIS Go beyond basic mapping Harness the full power of ArcGIS and Spatial Analysis Start with the questions, get the answers, document the workflows and tell your stories.

18 Questions? Questions GIS CONVERSATIONS

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20 Thank You Stay Connected Webinar recording will be in the follow-up and online Technical Queries Lee Kum Cheong General Feedback Esri Singapore Office Edward Boustead Centre 82 Ubi Avenue 4, #07-03, Singapore GIS CONVERSATIONS

21 Applying geography everywhere

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