1. Towards an SDI for Points of Interest Data Peter Twiby Senior Business Analyst iSpatial Project Landgate WALIS Points of WALIS Points of Interest Working Group

2. Points of Interest Example: Fire Hydrants

3. Captures Hydrant data from Landgate aerial photography: -Hydrants are ‘infrastructure assets’. -They are installed and maintained by Water Corp. Also Captures Hydrant data from aerial photography: -Capture is part of the Large Scale Topographic Capture program.

4. Points of Interest Example: Fire Hydrants Landgate Data is different to Water Corp data – both in terms of locations and number of Hydrants. Landgate data not supplied to FESA. Water Corp data used in map products made by Landgate – due to point 1. Who is using Landgate hydrant data? Users of Hydrant data. Supplied by Water Corp. Accuracy Essential

5. Data collection from various authoritative sources schools Railway stations medical facilities mining locations indigenous communities petrol stations public toilets post offices bus stops post boxes rest areas consulates political offices licensed premises shopping centres supermarkets fast food outlets Landgate Geonoma FESA POI data collection and processing FESA POI dataset Another example: FESA POI Capture: Current situation With thanks to Loc8WA and Simon Abbott

6. Data collection from various authoritative sources schools Railway stations medical facilities mining locations indigenous communities petrol stations public toilets post offices bus stops post boxes rest areas consulates political offices licensed premises shopping centres supermarkets fast food outlets Landgate Geonoma WAPOL POI data collection and processing WAPOL POI dataset educational institutions banks Fire stations bus stations ferry terminals police stations jetties bridges water locations gun shops video shopschemists police known locations not of interest to public Duplication of effort Annual cost to WAPOL over $100,000 and FESA would be similar Another example: WAPOL POI Capture: Current situation With thanks to Loc8WA and Simon Abbott

7. Issues and Questions highlighted by the examples Which version is correct? Who should know? Who is in a position to verify the data? How do we prevent this from occurring? Questions Duplication of data capture. Redundant data. Inefficient use of resources. Leads to questions of accuracy. Issues AIM To have an authoritative dataset.

8. Step 1 - Understanding Need to understand: - Who has what data? - Who captures what data? - Who is willing to participate?

9. Step 2 - Assessment Once it is understood who has what data; it is necessary to analyse the following : - Identify duplication. - Identify Data Custodians. * Who is best placed to capture the data? * Who should be responsible? - Identify appropriate common data themes. - Identify security issues.

10. Step 2 – Assessment Custodians Is data spatial or aspatial? What guarantee on currency, accuracy, completeness? Metadata availability Feature attributes? Willingness to share/sell data. What are their maintenance cycles? Custodianship Issues

11. Step 2 – Assessment Points of Interest - It is important to recognise that a POI is an interpretation of culturally significant phenomena. - A POI represents the location of a service and not the physical building or area where the service takes place. (Ref: Intelligent Transport Systems – Geographic Data Files – Overall data specification standard ISO/DIS 14825(E)) Definition: A Point of Interest is any place, feature or service that people wish to visit or know the location of, and is of value to the community. Eg. A Bank POI represents the banking ‘service’ and not the building within which the service operates. POI Boat Ramp Topographic Boat Ramp and Jetty

12. Step 3 - Data Sharing Framework Variety of methods: - Data Hosting and direct editing. - Incremental Updating. - Trickle feed update propagation - Shared Online Resources. - Data Warehousing. - Partnerships. - Crowd Sourcing (VGI).

13. TOPO Joined Up Government Maintenance DEC Topo GDB WAPOLWALIS Members Trusted Partners (including Visitor Centres, LG, etc) FESA General Public Crowd sourcing Dynamic Online Products Crowd sourcing Collaborative Maintenance Dynamically Updated Map Products Integrated POI Database Staging Area DEC Products WA Integrated System iSpatial DEC Collaboration Loc8WA

14. Towards an SDI for Points of Interest Step 1 - Understanding Step 2 - Assessment Step 3 - Framework To achieve this we need a Common Language Points of Interest Classification System Standards and Policies WALIS POI Working Group

15. The State’s Points of Interest Data sets are authoritative and sustainable - POI datasets identified - All POI data sets meet appropriate. quality and coverage criteria - No duplication of POI data sets - POI data is discoverable, useable &. accessible Current GOALS 2011/12 Pathways Provide Reference Information - Identify barriers to, and strategies for, the effective implementation of an authoritative set of POI information - Provide effective governance for management and maintenance of POI and review annually -Support activities of National Symbology Committee - Collaborate with PSMA and ICSM on new national POI data model - Focus on development of feature level metadata - Identify potential partners for collaboration in the management and use of POI data - Encourage industry involvement in POI collection through VGI initiatives - Encourage participation in POI spatial infrastructure 2010-2012 Milestones - POI data custodians identified - Classification system documented - POI classification system presented to ICSM as contribution toward developing the National Standard - Cross-agency collaborative framework and model for management of POI data established - AFAC symbology adopted for emergency management themes Purpose The WALIS POI Working Group was initiated in Nov 2009 to provide a forum for the development of a coordinated approach to the capture, maintenance and use of POI data in the State of Western Australia. WALIS POI Working Group Terms of Reference The terms of reference include; 1.To facilitate, by liaison and exchange of expertise, the efficient capture and sharing of Points of Interest data for emergency services, the WALIS community and general public needs. 2.To provide a focus for the discussion of POI related issues on behalf of the WALIS community. 3.To foster the effective management of POI data through a collaborative data management framework. 4.Act as a representative of the WALIS Council and provide advice to it. Pathways Coordinate Fundamental Dataset - Monitor requirements & identify nature of required authoritative POI dataset - Develop standards and facilitate their. implementation - Coordinate collection, maintenance and.. dissemination across sectors - Participate in policy development for POI - Advise on development of POI collection. and maintenance guidelines - Enhance governance and focus POI data. discovery and access - Identify POI spatial infrastructure. requirements 2010-2012 Milestones - Establish an Inventory of POI data held by. the WALIS community and list themes. common to all agencies - Comparative assessment of POI data sets. completed - POI themes prioritised according to. WALIS community needs -Sub-working groups identified to progress. actions. - Emergency Management - Local Government - Recreation and Tourism - Asset Management - Collaborative POI Framework Developed - Crowdsourcing - Incremental Updating - Trickle feed update propagation - Data Hosting and Direct Editing - Online shared access & use

16. Components of a Spatial Data Infrastructure 1.Data - Accurate -Up to date -Consistent -Updated in one place only -Used by many people From Phillips, Williamson, Ezigbalike. “Spatial Data Infrastructure Concepts”. 2.Communication Allows for the establishment of partnerships, standards and procedures. 3. Common procedures and standards - Formats - Metadata - File types - Licensing 4. Partnerships - Allow for the establishment of common databases. - Formalises means of data transfer. 5. Technology - Networks - Data Models

17. POI Data Collection Agencies – ISO POI Data Standard – ISO POI Data Model Key Drivers Capture once, use many times Use of authoritative sources Reduce cost Real time maintenance – more up to date data Jurisdictions Agency 1 Agency 2 Agency 3 Agency 4 NT SA NSW ACT Qld Tas Vic WA Integrated System Themes Integrated POI Theme National VAR PSMA Other VARs Key Benefits Ease of data sharing Improved accuracy Improved Currency New products and uses - Development and implementation of a POI strategy for Australia ICSM Improve efficiency Eliminate duplicate capture Coordinated national dataset Improved capabilities ANZLIC Commercial opportunities Cross Government integration Comm. Of Aust

18. Points of Points of Interest Definition : A Point of Interest is any place, feature or service that people wish to visit or know the location of, and is of value to the community. Peter Twiby Senior Business Analyst iSpatial Project Landgate Questions?