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Simple APIs for Spatial Data (OGC API - Features)
The document discusses the challenges and advancements in spatial data APIs, particularly highlighting the OGC API - Features, which aims to simplify access to spatial data through RESTful interfaces and JSON format. It emphasizes the need for easier integration and understanding for developers outside the geospatial field and introduces the upcoming WFS 3.0. Additionally, it outlines various projects and hackathons aimed at improving spatial data handling and offers insights into data collection and interoperability in visualization tools.
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Simple APIs for Spatial Data (OGC API - Features)
- 1. Simple APIs forSpatial Data OGC API - Features Easy to use Spatial Data Sampo Savolainen, Spatineo
- 2. Geospatial sucks! 💩 Weirdabbreviations: OGC, WFS, WFS-T, CSW, WMTS, GML, OWS, WMS, WCS, WCPS, WPS, TRL, GUF, LAS, GRB, COG, TSML 💩 Indecipherable specifications (WFS 2.0.2 spec is 254 pages!) 💩 XML 💩 Coordinates that are not latitude and longitude - where on earth is 386368.59,6671646.12 ? 💩 MultiLineStrings? MultiPolygons? MultiSurfaces?
- 3. … it’s justnot designed for everyone These work great for professional software but make it difficult for developers not in the field Web apps, prototypes, data journalists & visualisation tools need something else: 🐱 Easy instructions 🐱 RESTful APIs 🐱 JSON and GeoJSON
- 4. … but geospatialis great! Geospatial is a universal dimension for data 🌍 Allows to combine different data sets 🌍 Tools and methods to correlate, analyse, and visualise data 🌍 Location can be a point, route, 3D object, or even just an address - most data has a location one way or another 🌍 Available tools and platforms: Google Maps, OpenStreetMap, Leaflet, Digitransit (reittiopas backend) 🌍 Context for applications (“where the user is at the moment”) So how to benefit from this?
- 5. OGC API -Features Upcoming, completely redesigned version of WFS (codename “WFS 3.0”). OGC API - Features embraces OpenAPI 3.0 (ex Swagger) for providing machine-readable service capabilities. OpenAPI enables a nice set of development tools out-of-the-box. JavaScript Object Notation (JSON) as the primary format for describing functionality, data offerings, and feature data. Compliant APIs are browser-accessible: HTML landing page for the service, HTML encodings for data collections, API operations, and the offered feature data.
- 6. Resource Oriented DataAccess GET / Landing page (HTML): GET /collections Information about the collections of data offered: GET /collections/{collectionId}/items?bbox=160.6,-55.95,-170,-25.89 Simple queries supported in the core standard: GET /collections/{collectionId}/items/{featureId} Each feature referenced with a simple permanent URL
- 7. Just another API Keyidea: An OGC API is just an API like anything else on the web 🌟 Any HTTP + JSON client can access OGC APIs 🌟 Easy integration into browser apps - no extra library necessary 🌟 Specialized clients can take advantage of advanced features The API can include other functionalities as well: the same end-point may offer both custom application specific functionalities and yet also be a Features API.
- 8. Case:Simple Observation Features Pilot(SOFP) Proof-of-concept Features API server for delivering weather and air quality observation and forecast data. Define and test encodings for point observation and forecast data that allow the data to be "put on a map" using existing Web GIS applications and libraries. Joint project between Spatineo, Vaisala and the Finnish Meteorological Institute.
- 9. GeoJSON Observation Features WFSdoes not define data models for the offered data. Data model & encoding harmonization required for interoperability. Issue: Need to share environmental observation data with a variety of existing GIS client software (OpenLayers, GDAL & QGIS etc.), but complex feature XML is not well supported in desktop GIS/Web GIS client applications. Solution: Define simpler encoding of the Observations & Measurements (ISO 19156) data model in GeoJSON. Proposed as an alternative encoding of O&M data in INSPIRE, future OGC standardization options under discussion.
- 10. SOFP Features APIServer OGC API - Features front-end WFS 3.0 front-end WFS 3.0 front-end Data source 1 Data source 2 Data source 3 Back-end modules sofp-core Implemented using node.js (high-performance server-side JavaScript engine) In the FMI weather service case, the back-end uses the existing SmartMet Server APIs behind the scenes. The SOFP front-end server (sofp-core) project is managed by Vaisala and open sourced with the MIT license, see https://github.com/vaisala-oss/sofp-core
- 11. SOFP Weather Servicedemo http://beta.fmi.fi/data/3/wfs/sofp/
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- 18. Opendata_1h collection items(HTML) beta.fmi.fi/data/3/sofp/collections/opendata_1h/items
- 19. Opendata_1h collection items(JSON) beta.fmi.fi/data/3/sofp/collections/opendata_1h/items?f=json
- 22. Try It Outand Give Feedback Live SOFP beta service: http://beta.fmi.fi/data/3/wfs/sofp/ Simple Observation Features data model https://github.com/opengeospatial/omsf-profile OGC API Hackathon: coverages, map tiles, processing. Hosted by Ordnance Survey at the Geovation Hub, London on 20th & 21st June 2019 https://www.opengeospatial.org/OGCAPI_Hack2019
- 23. Inspire Helsinki 2019 Asea of spatial data
- 24. Inspire Helsinki 2019Challenges Event will be held in Helsinki October 22-24. Focus on spatial data, tools and technologies. The event hosts four challenges and a number of workshops. 🍩 Teams participating in the challenges work on their projects in September - submission can be an idea, prototype, or data analysis 🍩 Challenge partners and organisers will support teams in September 🍩 Licenses to professional tools (ESRI ArcGIS, FME Platform) 🍩 Winners chosen at the event 🍩 Winning teams will get a trip to Dubrovnik + possible other prizes The event is organized by the National Land Survey of Finland, the Ministry of Agriculture and Forestry and supported by the Joint Research Centre of European Commission.
- 25. Commuting 2.0 Make planningthe day-to-day commuting safer and more pleasant for pedestrians, cyclers and other light traffic users using weather, air quality and road condition data. https://challenge.inspire-helsinki-2019.fi/commuting20.html Challenge partners
- 26. By the Beautiful BlueDanube Discover alternative transport routings using the European waterways and railways instead of road networks for increased efficiency and lower the CO2 emissions. https://challenge.inspire-helsinki-2019.fi/schonenBlauenDonau.html Challenge partners
- 27. Find the best seasidevacation spot Develop solutions to find the best location for a seaside vacation depending on the interests and nature values ensuring sustainable nature of the planned activities. https://challenge.inspire-helsinki-2019.fi/seasideVacationSpot.html Challenge partners
- 28. Let's make the mostout of INSPIRE! Figure out ways to improve how data is being delivered and encoded in particular use cases (e.g. building a cross-border dataset, or using a specific dataset in a particular software product). Challenge partners
- 29. More information +team sign up More information about the event at https://inspire-helsinki-2019.fi/ Challenge information and sign up https://challenge.inspire-helsinki-2019.fi/ If you have any questions, go to https://spectrum.chat/inspire-helsinki/
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