Community Analytics on the GeoWeb

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Community Analytics on the GeoWeb Tim Waters - GeoIQ [email protected]

description

Presentation by Tim Waters from GeoIQ at AGI North Conference 2011 "Liberating Location"

Transcript of Community Analytics on the GeoWeb

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Community Analytics on the GeoWeb

Tim Waters - GeoIQ

[email protected]

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Why?So we can make more informed and better descisions

BigRealtimeLinkedBi-directionalGeolocated

Tools to make it – loads, easyTools to understand - few, tricky

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Spatial Data InfrastructuresFor GIS Professionals

Public Participation GISProfessionals + Commoners

Volunteered Geographic InformationJust the Commoners

Traditional GIS Hierarchies(GIS & Communities)

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HaitiChanged disaster relief forever.Changed the way we work together

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Aims for community collborative analytics

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Traditional Analytic Process

Analyst

Data

Data

Data

Report

Report

Report

Decision Maker

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How to Foster Analytics?

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A web-based data visualization and collaboration platform with a global community

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Make Analytics Easy(Everyone likes pictures)

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Make Analytics Powerful

FIFA/Coca-Cola World Ranking for Women's Soccer/Football, World by Country, September 25 2009

http://geocommons.com/overlays/19155

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Shareable Custom Anaysis Models

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Make Terms Easy(But allow the deep dive)

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Make Collaboration Easy

CopyCloneEditPublish

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Make Results Traceable

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Make Results Extendable

Analyst

Data

Data

Data

Information

Information

Information

Analyst

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Before…

Analyst

Data

Data

Data

Report

Report

Report

Decision Maker

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Crowdsourced Analytics

To set up environments to enable people to collaborate to analyse

information

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What do you do when you have so much data it does not fit onto your database?

Challenges

“Big Data”

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What do you do when the data that your analysis is based on changes?

Challenges

“Real time”

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Temporal animation

On click geographic details

Live filtering

Sentiment over time

Pivot across

variables

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Heavy Negative Sentiment for “Black Swan”

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Largely Positive Sentiment for “Jeff Bridges”

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Community Analytics on the GeoWeb

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Key Conditions for Collaborative Analysis

Make it:• Easy• Traceable• Sharable• Recognize• Improvable

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Community Analytics

Challenge – big realtime

Create tools & platforms.As easy to analyse as it is to create.

Community engagement & cross collaboration