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Visualisation of Neighbourhood Statistics using Google Earth. Olav ten Bosch and Edwin de Jonge Statistics Netherlands UNECE - Meeting on the Management of Statistical Information Systems (MSIS) Luxembourg, 7-9 April, 2008. Contents. Introduction Regional Statistics in StatLine

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Visualisation of neighbourhood statistics using google earth l.jpg

Visualisation of Neighbourhood Statistics using Google Earth

Olav ten Bosch and Edwin de Jonge

Statistics Netherlands

UNECE - Meeting on the Management of Statistical Information Systems (MSIS)

Luxembourg, 7-9 April, 2008


Contents l.jpg
Contents

  • Introduction

  • Regional Statistics in StatLine

  • Traditional mapping versus streaming photo-based mapping

  • A dual Approach:

    • CBS in your neighbourhood

    • Google Earth layer

  • Work in progress

  • Conclusions


Introduction l.jpg
Introduction

Statistics Netherlands has many statistics at neighbourhood level

Available in statistical database StatLine

Regional statistics can be presented more attractive and understandable in maps

StatLine maps:

generated on the fly from the database

SVG (less popular and problematic in browsers)

People have to “know” how to generate a map

There must be a better solution





Traditional mapping versus streaming photo based mapping l.jpg
Traditional mapping versus streaming photo-based mapping

Traditional mapping:

Each mapping engine has its own user interaction mechanism

The user has to specify certain parameters

Maps are sent over completely

Streaming photo-based mapping:

de-facto user interaction (zooming, panning etc)

Combining air- or satellite photos with other information

Efficient streaming mechanism for (geo)data

Extendable, you can add other information layers

Only a few flavors:

Google Earth / maps

Microsoft Virtual Earth

OpenStreetmap

Statistics should use this trend


Maps people use in their daily life l.jpg
Maps people use in their daily life

Traffic info

Houses for sale

Crime facts


A dual approach l.jpg
A Dual approach

  • We use general mapping technology

    • Google maps and Google earth

    • People “know” these interfaces

    • 11,000 neighbourhoods:

      • Detailed borders

      • 21 variables (inhabitants, income, age)

  • Two “products”:

    • “CBS in your neighbourhood”:

      • http://www.cbsinuwbuurt.nl/

      • Website for everyone, no plugins required

    • “CBS on Google Earth”:

      • for advanced users

      • CBS layer accessible from CBS website

      • http://www.cbs.nl/gearth (Dutch version)

      • http://www.cbs.nl/.../gearth.htm (English version)


Slide13 l.jpg

CBS created statistical layer for GEarth:

GEarth free tool (needs to be installed)

GEarth has a well-defined data format (KML)

Two ways to access:

CBS data in next (Dutch) GEarth release

Google Earth layer available on website CBS

Use streaming mechanism of GEarth for efficient data transport:

Only the data of the viewing area is sent over

Ability to combine statistical data with other geodata

“CBS on Google Earth”




Slide16 l.jpg

Heat maps for regional variables:

Population density

Ratio of men to women

Other variables

Animated statistics:

Use the time facility to visualise statistical trends

Changing neighbourhood borders

Changes in population, age, households etc.

Work in progress




Conclusions l.jpg
Conclusions

  • Follow the trend:

    • In addition to traditional maps we use modern web-based streaming mapping techniques for dissemination of regional statistics

  • Dual approach for different user groups:

    • Easy site CBS in your Neighbourhood for everyone

    • Google Earth layer for advanced use

  • Work in progress:

    • Projecting variables on GEarth

    • Animation


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