geospatial analytics data science sg meetup

UNLOCKING AND EMPOWERING LOCATIONAL INFORMATION

1© 2017 National University of Singapore. All Rights Reserved

THE NEW DIMENSION OF ANALYTICS

BRANDON NG

23rd March 2017

Agenda

© 2017 National University of Singapore. All Rights Reserved 2

• The Evolution

• Geospatial analytics with Spatial

Statistics

• Geovisualisation

• Traffic Analytics – using Tool

• Geospatial Analytics – using

Programming

• Emerging Trend and Technologies

THE EVOLUTION

FROM GIS TO GEOSPATIAL ANALYTICS AND GEOVISUALISATION


Microscopic Traffic Simulation Model


Prescriptive

Analytics

Multi-

Disciplinary

S T NG, Travel time savings for trucks with real-time traffic information during incidents, NUS 2004.

Widespread Location Data Will Enable

All Forms of Social and Commercial Interactions


Location, the Next Champion in Analytics , Gartner, Inc. | G00276851

Locationthe Next Champion in Analytics

Where are things happening? Or

Where are the customer?

spatial dimension not yet a key component

• BI and analytics strategy

to expand the knowledge and expertise within the organisation


Thomas W. Oestreich, Location, the Next Champion in Analytics, Gartner 2015.

Hype Cycle for Business Intelligence and Analytics, 2016


Kurt Schlegel, Hype Cycle for Business Intelligence and Analytics, 2016, Gartner 2016.

Domain Analytics


Valerie A. Logan, Melissa Davis, Svetlana Sicular, Gareth Herschel, Kurt Schlegel, Jorgen Heizenberg,

Domain Analytics: Harnessing the Pervasive Nature of Analytics, Gartner 2016.

Supply Chain Analytics




Location Intelligence




London Cholera Map


Data Maps :

Pioneer Maps for

Healthcare

Use of map to

chart patterns of

disease using dot

map

Plotted the

location of deaths

from cholera in

central London for

September 1854

By Dr. John Snow

Visualisation of Train Movement


Marey's graphical train

schedule for Paris to Lyon

in the 1880s.

Operation diagram for

12:00 noon, July 25,

1985, Tokaido and Sanyo

Shinkansen Lines

(bullet train), Japanese

National Railroad

control room, Tokyo.

Edward R. Tufte, The Visual Display of Quantitative Information, 1983

Edward R. Tufte, Envisioning Information, 1990

Visualisation of Train Movement


Visualizing MBTA DataAn interactive exploration of Boston's subway system

http://mbtaviz.github.io/

How the Circle Line rogue train was caught with data


https://blog.data.gov.sg/how-we-caught-the-circle-line-rogue-train-with-data-79405c86ab6a#.mr0axgyy1

GIST Body of Knowledge (BoK)


http://carto.byu.edu/bokviswiki/

GEOSPATIAL ANALYTICS WITH SPATIAL STATISTICS

FOR ANALYZING SPATIAL PATTERNS


Spatial Statistics for Analyzing Spatial Patterns

• To identify any patterns, trends, spatial

relationships

• Random patterns and clustering

• Geographic distribution measurements

• Geographic pattern analysis

• Geographic cluster analysis


Functional Area:

Geographic distribution measurements

• Mean Center

• Central Feature

• Standard Distance

• Directional Distribution (Standard Deviational

Ellipse)

• Linear Directional Mean

• Address the “Where is the centre?”, “What is the shape

and orientation?”, “How dispersed are the features?”


Functional Area:

Geographic pattern analysis

• Average Nearest Neighbor

• Spatial Autocorrelation (Moran's I)

• High/Low Clustering (Getis-Ord General G)

• Evaluate features, or the values associated with features form a

clustered, dispersed, or random spatial pattern


Functional Area:

Geographic cluster analysis

• Cluster and Outlier Analysis (Anselin Local Moran's I)

• Hot Spot Analysis (Getis-Ord Gi*)

• To identify hot spots, cold spots, or spatial outliers

• To identify or group features with similar characteristics


GEOVISUALISATION


Spatial-Temporal Analytics


https://brandonng.carto.com/viz/a0188ae0-4a45-11e6-af6c-0ef24382571b/public_map

https://shwetasharma.carto.com/viz/d8aeafc8-7e80-11e6-a0ae-0e233c30368f/public_map

Dot Plot / Bubble Plot Map / Heat Map


https://brandonng.carto.com/viz/a0188ae0-4a45-11e6-af6c-0ef24382571b/public_map

Story Map


http://wdcintel.maps.arcgis.com/apps/MapJournal/index.html?appid=7c71437449dd468e8949bdfcd404a002

Geo-Dashboard


http://www.darkhorseanalytics.com/

Geo-InfographicsCybersecurity Poverty Index 2016


http://www.enterpriseinnovation.net/infographic/infographic-cybersecurity-poverty-index-

2016?utm_source=silverpop&utm_medium=newsletter&utm_campaign=EIDaily_enews

TRAFFIC ANALYTICS- TOOL

CROWD MANAGEMENT


Traffic Analytics

• Crowd management

• Public transport management

• Traveler behavior

• Travel pattern (OD Matrix)


Origin and Destination (OD) Matrix


Routing


Heatmap

31© 2017 National University of Singapore. All Rights Reserved

Geoprocessing Model


Part I: Geovisualization of points on map and creation of a database

Part II: Creation of routes using network analysis tools

Part III: Creation of heat map using route layer

GEOSPATIAL ANALYTICS - PROGRAMMING

ESRI ARCGIS API ON ONEMAP


Point-of-Interest Identification


Facilities Identification with

Polygon Drawing

Location Visualisation


Visualisation of Walking Distance to

School (1km, 2km)

Identification of Facilities/Point-of-

Interest/ Nearby Amenities

Dynamic Routing


Visualisation of Construction Site


Accident Occurrence & Severity Level


School Compound Safety Analysis


GeoCode and Reverse GeoCode


http://www.onemap.sg/API/Help/HTMLSource/ReverseGeocode.aspx

EMERGING TRENDS AND TECHNOLOGIES

IN GEOSPATIAL SPACE


Social Media Analytics


Tweet Sentiment

(Positive, Neutral

or Negative)

Intelligent System (AI) for Intelligent Transportation System


https://www.theguardian.com/sustainable-business/2016/aug/23/uber-for-couriers-australian-logistics-software-promises-to-

minimise-traffic-and-emissions

Mobility-as-a-Service


https://www.ncs.com.sg/documents/20184/111927/Changing+the+way+you+travel+with+Mobility-as-a-

Service/2c8f561c-0af1-4213-83d2-b02b65c390fd

3 trends that will shape Geo Industry in 2017

Jan Erik Solem, CEO of Mapillary

Automotive mapping

• Self-driving vehicle / digital mapping

Deep Learning & AI

• Machine-generated to maps

Lots of outsiders

• In the GIS industry


http://geoawesomeness.com/3-trends-will-shape-geo-industry-2017-according-jan-erik-solem-ceo-mapillary/

2017 in Geo- Javier de la Torre, CEO at CARTO

strong growth in the

• Data Analytics space & Location Based Services (LBS)

the next 1 Million users to start using geospatial technology in 2017 will not even know what GIS is

Location Intelligence will be delivered seamlessly via their apps, embedded in Data Analytics space


http://geoawesomeness.com/2017-geo-according-javier-de-la-torre-ceo-carto/

8 Crazy Predictions for Geospatial in 2017 - Matt Sheehan of WebMapSolutions

1. Continued hype around drones, augmented reality and anything shiny and new.

2. Mobile GIS is dead

3. Greater demand and competition in the BI-GIS space

4. Dramatic increase in demand for GIS professionals

5. More focus on solving problems

6. From complex & expensive to easy, affordable, does exactly what is needed

7. Wider adoption of (new) Web GIS

8. The emergence of a new breed of geospatial service companies


My opinion………every single aspect of analytics with Geospatial Dimension

Real Time / Edge Analytics with geospatial dimension

Web GIS/ GIS-as-a-Service

Story map / Geo-Dashboard & Geo-Infographics

Big Data Analytics

Internet-of-Things

Drone

Cognitive Computing - Deep Learning


THANK YOU

[email protected]


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