YVR and the Indoor Mapping Experience

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This document discusses Vancouver International Airport's (YVR) process for mapping indoor spaces in their terminals. It involves a multi-stage workflow using FME and GIS software: 1) CAD floor plans are converted to GIS formats, cleaned up, and attributes added. 2) Rooms are aggregated and classified as public or non-public areas for use in passenger maps and apps. 3) Data is converted nightly to GeoJSON and uploaded to YVR's digital gateway for developers. 4) Additional refinement and conversions are done to meet Apple's AVF specification for indoor maps. Automation, standards, documentation and QA/QC are emphasized to keep the indoor maps accurate and

Tecnología

YVR & the Indoor
Mapping Experience
Carlos Silva
GIS Specialist, Vancouver International Airport

CHALLENGING
Mapping Vertical Space in 2D can be

YVR: 4 yrs ago (pre-GIS)
Internal: Mostly CAD, Floor
Layouts updated 3-6 mo post
construction (as-builts)
Rooms/BOMA shapes &
Room #s key to Mapping All
Things
Public Terminal Maps:
graphic design pamphlet
(PDF)
http://www.yvr.ca/en/passeng
ers/navigate-yvr/terminal-
maps

How the Mapping
Process Works @YVR
1st Stage "Internal", FME: CAD BOMA polygons (10+ CAD files; 4200+ Rooms) &
lease/operational database attributes collected (internal); QA/QC'd (ArcMap/SQL);
weekly attribute updates
2nd Stage "Public", FME: Rooms merged/aggregated on specific attributes (pre/post
security, back of house, passenger areas, based on Sector, Security, Room Description);
further QA/QC (FME) & manual substitutions/edits (via ArcMap)
3rd Stage "Uploads" via FME: Nightly auto conversion to GeoJSON & uploaded to YVR
Digital Gateway for YVR App Developers & YVR Website Developers with HTTP calls
4th Stage, "Apple AVF": further FME refinement of "Public Rooms" & process other
internal datasets (doors, jurisdictional boundary, etc) to AVF spec; (manual upload to
Map Connects)

STAGE 1: Make an
Internal Floor Map(OMG, WTF
Clean this up ASAP!!!)
Imagery via Giphy.com,, from the TV Show “Scrubs”: http://gph.is/28JV6VM

STANDARDS
MATTER!
(so does
documentation &
great schema)

Courtesy of XKCD: https://xkcd.com/927/
Creative Commons: Attribution-NonCommercial 2.5 Generic (CC BY-NC 2.5)

YVR Rooms =
BOMA
shapes/polygons
DocOffice Buildings:
Standard Methods of
Measurement
(ANSI/BOMA Z65.1-
2010),

STAGE 2: Floor
Plans for a Public
App
Imagery via Giphy.com,, from the TV Show “The Muppet Show”:
http://gph.is/1eJAZCR

ArcMap: QA/QC
Map Production;
Data Verification & Edits;
Map & Feature Services (Internal Only)

Automate, Automate, Automate
Avoid Spatial Substitutions
As Much as Possible
TAKE MY ADVICE:

STAGE 3:
DATA DELIVERY
Imagery via Giphy.com,, http://gph.is/2dw1Bfa

STAGE 4: APPLE VENUE FORMAT
(AVF)
• More conversions of the “public
data”
• Totally separate FME workbench
• “GeoJSON files wrapped in a
ZIP”
• TIP: make your door entrances
lines not points (for “Openings”)
CONTACT APPLE FOR MORE
INFO & DETAILS;
SIGN UP @
Apple Maps Connect
mapsconnect.apple.com

Where is YVR now?
1) Public Terminal Maps (PDFs, Hard Copy Pamphlet, Website Maps (Leaflet with GeoJSON)
2) Internally: CAD 2 GIS via FME, accessible on an internal GIS application
3) YVR App & Website: Data Delivery via YVR Digital Gateway

Typical Issues/Solutions
• Timeliness (room closures/areas open/notifications)
• Spatial errors/topology
• Additional data points (sources) changing & in-conflict
• Schema Changes (YVR doors (points)/Apple AVF doors
(lines))
• Data Holes: single wall lines vs plenty of CAD arch’l lines
• software & DB updates (backend time away from QA/QC)
• I.T. updates (eg. changes to servers; software)
KEY: Automate the conversions, & non-spatial attribute sources
KEY: use common data standards (GeoJSON 2.0!); data
schemas pre-defined; DOCUMENTATION HELPS A LOT!
KEY: API access (minimal manual uploads/downloads)

THANK YOU!
E: carlos_silva@yvr.ca
Twitter: @arcvancouver

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Join us for a future-facing webinar this New Year as we host an exclusive interview with Safe Software’s Co-Founders, Don Murray and Dale Lutz. Delve into a detailed discussion on the transformative trends emerging in the data integration industry and explore how you can leverage FME to gain an advantage in this rapidly evolving world of technology. Discover how these advancements are revolutionizing data solutions, from artificial intelligence (AI) and machine learning to the exciting realm of Augmented Reality (AR) technology. As we all navigate through a complex global landscape impacted by recent events, this webinar will provide a glimpse into the future of data integration, unveiling Safe Software’s innovative solutions in the pipeline and the envisioned industry trajectory for the next decade. Don’t miss this opportunity to gain invaluable insights into the future of data integration and how Safe Software is positioning itself to foster continuous innovation and address the anticipated challenges of the industry.

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Join us to discover actionable insights for elevating your airport operations. We've partnered with three airports and contractor teams to share real-world FME applications in airport environments: In Segment 1, hear from Hartsfield-Jackson Atlanta International Airport and Axim Geospatial on how FME streamlined the flow of data between their Cityworks Asset Management System and their GIS, enhancing airport staff's experience by reducing manual effort and paperwork duplication. Segment 2 will take you on Philadelphia International Airport’s geospatial roadmap journey, alongside their Spatial Services group, C&S Companies. Discover how FME is integral in bridging data integration gaps between BIM/CAD/GIS and their asset management platform, overcoming previous hurdles and improving data integration efficiency. In the final segment, join Woolpert in the exploration of the ETL processes implemented at Orlando International and Fort Lauderdale International airports, facilitating the smooth flow of data between BIM, GIS, and CAD systems. Learn the importance of data standards from firsthand experience with the development of automation processes. They’ll also share the significant time and cost-saving benefits reaped, and discuss future applications of this technology in data QA/QC tasks. Don’t miss the chance to discover how FME is transforming airport operations, paving the way for enhanced efficiency and reduced operational costs. Register today!

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Join us as we delve into the benefits of developing a Governance strategy for your organization. Learn the requisite knowledge and tools for efficient deployment and management of FME Governance within your own organization. This webinar will feature two guest speaker segments: Segment 1, by Jelle De Zwaef from Nordend & Francis Vanden Bulcke from District09, unravels the Governance journey at the Municipality of Ghent. As FME Flow becomes a cornerstone for business-critical processes in Ghent, discover how a well-orchestrated governance strategy, employing Named Connections, Python Scripts, and user access control among other elements, has facilitated the transition of processes to a production environment. This also strategy ensures swift and accurate deployment of alterations in the FME process. In Segment 2, Théo Drogo & Lesley MacKenzie from Consortech, demonstrate a kickstart into FME Governance with a straightforward self-assessment approach. This segment unveils a proven methodology, cultivated over 20 years, to perform a quick yet thorough assessment of your current FME infrastructure. The discussion, grounded on three foundational pillars—technology, people, and practices, will provide a robust checklist to guide your governance strategy. This method aims to ensure an optimal, secure, and cost-effective FME integration into your IT and business dynamics. Attend and gain a better understanding of how you can use FME to support data and GIS governance, as well as practical tips and techniques for implementing FME within your own organization.

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Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

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Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

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Retrieval augmented generation (RAG) is the most popular style of large language model application to emerge from 2023. The most basic style of RAG works by vectorizing your data and injecting it into a vector database like Milvus for retrieval to augment the text output generated by an LLM. This is just the beginning. One of the ways that we can extend RAG, and extend AI, is through multilingual use cases. Typical RAG is done in English using embedding models that are trained in English. In this talk, we’ll explore how RAG could work in languages other than English. We’ll explore French, Chinese, and Polish.

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Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.

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In this keynote, Asanka Abeysinghe, CTO,WSO2 will explore the shift towards platformless technology ecosystems and their importance in driving digital adaptability and innovation. We will discuss strategies for leveraging decentralized architectures and integrating diverse technologies, with a focus on building resilient, flexible, and future-ready IT infrastructures. We will also highlight WSO2's roadmap, emphasizing our commitment to supporting this transformative journey with our evolving product suite.

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YVR and the Indoor Mapping Experience

1. YVR & the Indoor Mapping Experience Carlos Silva GIS Specialist, Vancouver International Airport

3. CHALLENGING Mapping Vertical Space in 2D can be

4. YVR: 4 yrs ago (pre-GIS) Internal: Mostly CAD, Floor Layouts updated 3-6 mo post construction (as-builts) Rooms/BOMA shapes & Room #s key to Mapping All Things Public Terminal Maps: graphic design pamphlet (PDF) http://www.yvr.ca/en/passeng ers/navigate-yvr/terminal- maps

5. How the Mapping Process Works @YVR 1st Stage "Internal", FME: CAD BOMA polygons (10+ CAD files; 4200+ Rooms) & lease/operational database attributes collected (internal); QA/QC'd (ArcMap/SQL); weekly attribute updates 2nd Stage "Public", FME: Rooms merged/aggregated on specific attributes (pre/post security, back of house, passenger areas, based on Sector, Security, Room Description); further QA/QC (FME) & manual substitutions/edits (via ArcMap) 3rd Stage "Uploads" via FME: Nightly auto conversion to GeoJSON & uploaded to YVR Digital Gateway for YVR App Developers & YVR Website Developers with HTTP calls 4th Stage, "Apple AVF": further FME refinement of "Public Rooms" & process other internal datasets (doors, jurisdictional boundary, etc) to AVF spec; (manual upload to Map Connects)

6. STAGE 1: Make an Internal Floor Map(OMG, WTF Clean this up ASAP!!!) Imagery via Giphy.com,, from the TV Show “Scrubs”: http://gph.is/28JV6VM

7. STANDARDS MATTER! (so does documentation & great schema)

8. Courtesy of XKCD: https://xkcd.com/927/ Creative Commons: Attribution-NonCommercial 2.5 Generic (CC BY-NC 2.5)

9. YVR Rooms = BOMA shapes/polygons DocOffice Buildings: Standard Methods of Measurement (ANSI/BOMA Z65.1- 2010),

10. FME: CAD BOMAS à GIS

11.

12.

13.

14. STAGE 2: Floor Plans for a Public App Imagery via Giphy.com,, from the TV Show “The Muppet Show”: http://gph.is/1eJAZCR

15. FME: GIS BOMAS à GIS “Public Rooms”

16.

17. YVR MAIN TERMINALS L3 “Public Room”

18. ArcMap: QA/QC Map Production; Data Verification & Edits; Map & Feature Services (Internal Only)

19. QA/QC LIKE CRAZY

20. Automate, Automate, Automate Avoid Spatial Substitutions As Much as Possible TAKE MY ADVICE:

21. STAGE 3: DATA DELIVERY Imagery via Giphy.com,, http://gph.is/2dw1Bfa

22. YVR Digital Gateway

23. STAGE 4: APPLE VENUE FORMAT (AVF) • More conversions of the “public data” • Totally separate FME workbench • “GeoJSON files wrapped in a ZIP” • TIP: make your door entrances lines not points (for “Openings”) CONTACT APPLE FOR MORE INFO & DETAILS; SIGN UP @ Apple Maps Connect mapsconnect.apple.com

24. Where is YVR now? 1) Public Terminal Maps (PDFs, Hard Copy Pamphlet, Website Maps (Leaflet with GeoJSON) 2) Internally: CAD 2 GIS via FME, accessible on an internal GIS application 3) YVR App & Website: Data Delivery via YVR Digital Gateway

25. Typical Issues/Solutions • Timeliness (room closures/areas open/notifications) • Spatial errors/topology • Additional data points (sources) changing & in-conflict • Schema Changes (YVR doors (points)/Apple AVF doors (lines)) • Data Holes: single wall lines vs plenty of CAD arch’l lines • software & DB updates (backend time away from QA/QC) • I.T. updates (eg. changes to servers; software) KEY: Automate the conversions, & non-spatial attribute sources KEY: use common data standards (GeoJSON 2.0!); data schemas pre-defined; DOCUMENTATION HELPS A LOT! KEY: API access (minimal manual uploads/downloads)

26. THANK YOU! E: carlos_silva@yvr.ca Twitter: @arcvancouver

YVR and the Indoor Mapping Experience

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