Advancing open source geospatial software for the do d ic edward pickle opengeo 20100802a

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Advancing Open Source Geospatial Software for the DoD/IC MILITARY OPEN SOURCE SOFTWARE (Mil-OSS) August 3, 2010

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Advancing Open Source Geospatial Software for the DoD/IC Eddie Pickle, OpenGeo

Transcript of Advancing open source geospatial software for the do d ic edward pickle opengeo 20100802a

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Advancing Open Source Geospatial Software for

the DoD/IC

MILITARY OPEN SOURCE SOFTWARE (Mil-OSS)

August 3, 2010

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Summary

• Many DoD/Intel organizations deploy geo web services based on OS software

• Increasingly organizations turn to OpenGeo– To deploy with greater ease and lower risk

– To develop advanced features

• OpenGeo is extending the OpenGeo Suite for collaboration and Web 2.0 functionality

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OpenGeo Background

• Founded 2003. HQ New York City

• Enterprise support for a complete, open-source web mapping platform– Certified, stable releases with one easy install– Professional support and service– Training– Advanced development & feature enhancements

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OpenGeo Suite Bundles Five Open Source Projects For Enterprise Use

• Storage: PostGIS PostgreSQL spatial database

• Application server: GeoServer map/feature server

• Application cache: GeoWebCache tile cache

• User interface framework: GeoExt / ExtJS

• User interface map component: OpenLayers

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Strong OGC Standards Support

• WFS Reference Implementation• WFS, WFS-T 1.0• WFS, WFS-T and WFS Xlink 1.1• WCS 1.0 compliant and 1.1 Reference Implementation• WMS 1.1.1 and full SLD• SLD is native style format• KML with Super Overlays• GeoRSS, GeoJSON, Shapefile, PDF, WMS-C, CSV, XLS

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KML Super Overlays

• Problem: Display large data sets on Google Earth

• Generated KML is simply too big• Features for display have a clear hierarchy• Zoomed out, you want to display only the most

important ones– Less important ones should appear progressively, as you

zoom in, while leaving the important ones visible– Everything should happen in the most fluid way

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KML Super Overlays

• Solution– Create a pyramid like structure– Have Google Earth regions drive what is visible at each

scale– Use a tile cache to maximize delivery speed

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OpenGeo Suite Options

• Community Edition – free

• Enterprise Editions – four levels of support– Basic– Professional– Platform– Strategic

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Who Uses OpenGeo Software?

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OpenGeo Clients

• NGA• World Bank• MassGIS• Google• City of New York• Portland TriMet• Palantir Technologies

• DISA

• Austrian Fed. Railways• Finnish Ministry of Agric.• Grontmij-Calbro (Den.)• Landgate (Australia)• Rijkswaterstaat (Neth.)• SWECO (Sweden)

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Helping theDOD/IC

Easily create, visualize and publish data for situational awareness with the

OpenGeo Suite

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GeoServer

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OpenGeo Suite – Key Features

• Greater scalability & app control in combining enterprise data with Google's infrastructure

• Additional geospatial capabilities to the Oracle platform

• Seamless integration with ESRI, plus developer-friendly JavaScript components

• Instant, wide access to data stores on Bing

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A New Approach to Developing SDI

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CAPRA is an ongoing initiative to develop and enhance a set of free and open source tools to understand, communicate and support decisions to reduce disaster risk within Central America.

The CAPRA ProgramCentral America Probabilistic Risk Assessment

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EARTHQUAKE HURRICANE INTENSE RAIN VOLCANO

TSUNAMI

GROUND SHAKING / LIQUEFACTION

LANDSLIDESLANDSLIDES

- - GROUND SHAKINGGROUND SHAKING- HURRICANE RAINFALL- HURRICANE RAINFALL

- OTHER RAINFALL- OTHER RAINFALL

STRONG WINDS

STORM SURGE

HURRICANE RAINFALL

FLOODSFLOODS

- HURRICANE RAINFALL- HURRICANE RAINFALL- OTHER RAINFALL- OTHER RAINFALL

ASH FALLS

BALLISTIC EJECTIONS

PYROCLASTIC FLOWS

LAVA FLOWS

Multiple Natural Hazards

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Risk(i.e. probable loss)

Hazard(i.e. earthquake)

Exposure(i.e. houses)

Vulnerability(of house to quake)

INFRASTRUCTURE ENVIRONMENTALECONOMIC SOCIAL

- Disaster Impact Analysis- Scenario or Stochastic

Probabilistic Risk Modeling

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Risk(i.e. probable loss)

Hazard(i.e. earthquake)

Exposure(i.e. houses)

Vulnerability(of house to quake)

1) Locate the data that already exists2) Access and share that data3) Create the data that is not in existence

SDIs and Collaborative Mapping

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Meeting CAPRA Requirements

Need more participatory SDI building Must improve/augment existing SDI platforms Meet these requirements through developing and

distributing open source, Web-based GeoNodes

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The theory of SDI developed before we learned what was possible with the Internet…

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Successful Internet projects have a vitality that encourages participation.

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Align incentives to create a sustainable Spatial Data Infrastructure

Necessary, but not sufficient to just have policies, requirements & mandates

Necessary, but not sufficient to just have best-of-breed software

Spatial Data Infrastructure (SDI)

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–Tim O’Reilly

“Architectures of Participation”

An “Architecture of Participation” is bothsocial and technical, leveraging the skills and energy of users as much as possible to cooperate in building something bigger than any single person or organization could alone.

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User at the Center

Compelling and relevant

User Responsibility

Reduce Barriers of Entry

GeoNode = Web Portals + Web 2.0

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Collaboration

Distribution

Cartography

Data collection

GeoNode Principle Concepts

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Very simple to share data Provide user statistics Comments, ratings, tags Collaborative Filtering Rankings of best ‘views’ and data sets contributed Highest rated, most viewed, most shared

GeoNode is About Collaboration…

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Usage Statistics Add Context…

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Ratings Inform Search Results…

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Comments improve collaboration...

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Simple installation and distribution

Automatic metadata creation

Versioned metadata Searchable via

catalogs and also Google

GeoNode is About Distribution…

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User Profiles as Sources of Metadata

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User Profiles as Sources of Metadata

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GeoNode is About Cartography…

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...that will entice people to upload and use their data on GeoNode

Give Users Web GIS Tools…

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Styling

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Editing

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Tools and workflows for data integrationFocus on exposure data for disaster reduction

GeoNode is about Data Collection

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OpenStreetMap

Focus on exposure data for disaster reduction

Data Collection Platform

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GeoNode Components

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For the metadata catalog Fully integrated with upcoming 1.0 release

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JavaScript library for rich web GIS applications Same library as used in MapFish user interface

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Web application framework The glue between the other pieces Foundation for social features

and cartographic ecosystem

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GeoNode Status: Progress, Challenges and Promise

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June 2009 – Began prototype development September 2009 – Completed prototype

development October 2009 – Began 1.0 development August 2010 – 1.0 beta release September 2010 – 1.0 release (planned) 2011 – Pilot deployment in Piura, Peru

GeoNode Project Timeline

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SDI-building institutions have high standards for metadata (ISO)

Social features of GeoNode depend on social metadata (ratings, # of views, comments, etc.)

Challenge: Integrating Social Metadata

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How to put social metadata into the metadata catalog?

Using & modifying GeoNetwork Building a custom XML schema that extends ISO19139

with social metadata fields

Challenge: Integrating Social Metadata

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GeoNode requirements: Open source Focus on the user (rich profiles, content management,

and social metadata, etc.) Standard open source geospatial web tools lack

this focus Need a modern web application framework

Challenge: Focus on Users

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Most robust ones are in lighter-weight scripting languages

Geospatial applications require higher-performance languages

Challenge: Which Web Framework?

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Chose Django: mature & lighter-weight Presents challenging build and deployment issues But gained a strong community and great capabilities for

building user features

Challenge: Which Web Framework?

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Work on the API's of GeoNode components Improved styling widget library for GeoExt Improved GeoServer REST API gsconfig.py, a library for working with the GeoServer REST

API Patches to OWSLib

Solution: Contributions to Open Source

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Integrating existing tools & building new application code

Adding to the libraries and API's at the joints Maximize potential for reuse

Contributions to Open Source

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GeoNode encourages Open Data Some institutions love this Others are concerned about data quality, misuse of

data, etc.

Challenge: Open Data

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Solution: Give Users Control

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Solution: Group Endorsement

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Peru and Guatemala have started their own open source SDI initiatives

Quick progress, but no unified community

Challenge: CAPRA & Other OS SDIs

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Encourage common use of GeoNode as open source SDI throughout Latin America

Involve others in the developer community

Solution: Build Developer Community

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• Haiti Data Dissemination Portal• Global Earthquake Model • ITHACA / WFP • Caribbean Community Climate Change Center • And more...

User Community

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Other Initiatives

• OpenAerialMap– What's needed is a bright shiny core, well documented

for others to work from.– OSM got that through the monk-like devotion, over a

period of months/years, by the OSM founders – OAM is getting that from... nobody (post C. Schmidt)– OpenGeo pursuing partners and funders to revive OAM

as a repository for contributions of raster data

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Questions & Discussion

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Questions & Discussion

• Contacts:– Eddie Pickle, [email protected]– Chris Holmes, [email protected]– Ken Bossung, [email protected]– Alyssa Wright, [email protected]