Enabling Spatial Analysis in a Web Browser · Timo Aarnio 27.6.2013 . National Land Survey of...

1.7.2013

Enabling Spatial Analysis in a Web Browser

Timo Aarnio 27.6.2013 National Land Survey of Finland

Contents

Reference Architecture for SDI in Finland Oskari Platform Spatial Analysis in a browser using OGC WPS Demo Future

Reference Architecture for SDI

The national SDI in Finland is based on a Reference Architecture for SDI

Describes how to build a complete SDI that.. ..provides not only data but also services to make

use of the data available Analysis Services Storage Services Visualisation Services

Reference Architecture for SDI

In this presentation..

Oskari Platform (1/2)

Open Source platform for creating web map applications

Supports the utilisation of the SDI Used in several eGovernment applications Embedded maps used by public authorities Components Server (Action Controller, GeoTools) Client (OpenLayers, jQuery and many more)

Oskari Platform (2/2)

Main features WMS & WFS viewing and printing (PNG & PDF) Tailoring and publishing embedded maps Thematic mapping

Supports localisation English, Swedish and Finnish already available

The Finnish geoportal www.geoportal.fi is powered by Oskari

Oskari Platform will be used in the E.L.F. project More information: www.oskari.org

Examples (1/3)

Examples (2/3)

Examples (3/3)

Spatial Analysis in a browser using OGC WPS

Specifying analysis parameters in the browser Processing done on server side Presenting results in the browser Abstraction layer in Oskari takes care of the UI/UX Analysis is performed using spatial features In-depth knowledge about WPS, inputs & outputs not

needed Helps future integration work

Demo: Analysis by Thematic Mapping

Main view

Free text search for indicators

Time series from 1990 to present

Gender selection

Indicator metadata & source

Measures of central tendency

Classification methods

Number of classes

Color scheme selection

Diverging color scheme and manual breaks

Flipping colors

Flipping colors

Selecting a subset of features

Demo: Analysis tools ”How many people live within 500 meters of the high schools in Helsinki?”

Main view

Selecting datasets (WMS/WFS)

Entering the analysis mode

Selecting analysis method

Creating buffers around high schools

Intersecting data with created buffers

Aggregating feature property values

Future

More supported analysis methods Filtering possibilities based on Filter Encoding Saving process chains for later running Process scheduling Integrating with reporting tools, process chaining via

a service bus etc.

Summary

Reference Architecture for SDI in Finland Oskari Platform for utilising the SDI Spatial analysis can be carried out using web

browsers

more information: www.oskari.org www.github.com/nls-oskari www.geoportal.fi contact: timo.aarnio@nls.fi

Thank you!