BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.staging.osgeo.org//foss4g-2024-academic-track//tal k//VHU3TT BEGIN:VTIMEZONE TZID:-03 BEGIN:STANDARD DTSTART:20000101T000000 RRULE:FREQ=YEARLY;BYMONTH=1 TZNAME:-03 TZOFFSETFROM:-0300 TZOFFSETTO:-0300 END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:pretalx-foss4g-2024-academic-track-VHU3TT@talks.staging.osgeo.org DTSTART;TZID=-03:20241204T140000 DTEND;TZID=-03:20241204T143000 DESCRIPTION:Standards in the Geographic Information Systems (GIS) domain ar e crucial for ensuring interoperability\, data consistency\, and efficienc y across diverse applications and platforms. As in other domains\, they ar e necessary to ensure that different GIS software can work together. Moreo ver\, the continuous improvement and development of these standards are es sential to keep pace with evolving technologies and user requirements\, en hancing the overall functionality and usability of GIS. By adhering to and advancing these standards\, the GIS community can foster innovation\, sup port informed decision-making\, and address complex geospatial challenges more effectively.\nTherefore it’s important to be conservative\, using w idely supported standards\, but also open to emerging technologies\, prepa ring for the future global leap\, and welcoming it proactively. The design of the eMOTIONAL Cities Spatial data infrastructure (SDI) is built around this approach (Simoes\, J.\, and Cerciello\, A. (2022). Serving Geospat ial Data Using Modern and Legacy Standards: a Case Study from the Urban He alth Domain. The International Archives of Photogrammetry\, Remote Sensing and Spatial Information Sciences\, 48\, 419-425)\n\nThe environment we li ve in affects our mental health and well-being. ​​The eMOTIONAL Cities project has set out to understand how the natural and built environment c an shape the feelings and emotions of those who experience it. It does so with a cross-disciplinary and data driven approach\, which resulted in num erous datasets from more “traditional” GIS based fields like Urban Pla nning\, as well as other fields like Neuroscience. The common denominator between all these datasets is the geospatial dimension. One of the main go als of the project is to assemble these disparate datasets in a common SDI \, in order to enable scientists and eventually the general public\, to di scover and access the data for the purposes of analysis and decision makin g.\nThe OGC API is a family of modern Standards from the Open Geospatial C onsortium (OGC)\, which leverage modern web technologies like OpenAPI\, RE ST and JSON (Percivall\, G. (2017) OGC® Open Geospatial APIs - White Pape r). Although very appealing to web developers\, they are relatively new co mpared to the OGC Web Services (OWS) like WFS\, WMS or WMTS\, which have b een in the GIS domain for more than twenty years. When we started the proj ect\, we were unsure if it would be possible to set up an SDI\, purely bas ed on OGC API\, both because of the maturity of the Standards and the avai lability and Technology Readiness Level (TLR) of implementations. This has led us to initially create an SDI that contains both a modern and legacy stack (Simoes\, J.\, and Cerciello\, A. (2022). Serving Geospatial Data Us ing Modern and Legacy Standards: a Case Study from the Urban Health Domain . The International Archives of Photogrammetry\, Remote Sensing and Spatia l Information Sciences\, 48\, 419-425). However\, in the past two years we have seen huge developments in OGC API Standards\, with many Standards ha ving parts approved and implementations catching up on those developments. One implementation in particular\, pygeoapi (https://pygeoapi.io/)\, is e xemplar in terms of the Standards development process\, by participating a ctively in the OGC Code Sprints\, by being an Early Implementer (EI) and e ven a Reference Implementation (RI) of several OGC API Standards. It embod ies the new OGC paradigm\, where the development of the Standard goes hand in hand with the development of implementations\, resulting in published Standards which are market ready.\nThe eMOTIONAL Cities SDI demonstrates t hat it is now possible to share geospatial data using OGC API with Free an d Open Source Software (FOSS). We have selected Standards to enable the pu blication of feature data (OGC API - Features)\, tiles of geospatial infor mation (OGC API - Tiles)\, sensor data (SensorThings API) and metadata (OG C API - Records). Although that was not the case when we started this work \, they are now all approved Standards. The SDI uses a stack of FOSS softw are\, with pygeoapi at its core and several supporting services. In order to ease the deployment and reproducibility of the system\, the services we re virtualized into docker containers and orchestrated using docker-compos e. This resulted in a system that is infrastructure agnostic and can be de ployed in any Cloud Service Provider (CSP) in a matter of minutes. The cod e is available on GitHub with an MIT license (https://github.com/emotional -cities/openapi-sdi) and released in Zenodo with DOI 10.5281/zenodo.659117 9. We have also set up pipelines to enable both humans and machines to ing est data and metadata into the SDI and extensive documentation about how t o access the SDI\, using clients such as QGIS\, MapStore or jupyter notebo oks.\nThe SDI is live at: http://emotional.byteroad.net/ and it includes 9 7 datasets from five different cities (e.g.: Lisbon\, London\, Copenhagen\ , Tartu and Lansing). It has collections that characterize the physical en vironment (e.g.: Normalized difference vegetation index (NDVI)\, Annual me an NO2 concentration)\, the built environment (e.g.: Buildings with repair needs ratio\, Average age of buildings) socio-economic aspects (e.g.: Are a Deprivation Index\, Number of People Travel by Bicycle to Work) and heal th data (e.g.: Crude percent of adults with depression\, Mortality rate)\, as well as results of experiments (e.g.: London outdoor walk test data: A ir Quality Temperature\, London outdoor walk test data: Sound Pressure lev els). The data can be discovered and queried in the OGC API - Records sear chable catalog: https://emotional.byteroad.net/catalogue\nIn this article we would like to share our journey during the process of implementing the SDI\, and how we navigated the technological and human challenges of adopt ing emerging technologies in constant development. We hope the results of this project can encourage scientists\, urban planners and other experts w ho deal with geospatial data in some way\, to embark on a similar journey and contribute towards making geospatial information FAIR\; e.g.: Findable \, Accessible\, Interoperable and Reusable. At the same time\, we hope to promote a family of GIS standards (e.g.: OGC API) that seeks to mitigate t he learning curve that has always characterized them. DTSTAMP:20260521T234658Z LOCATION:Room V SUMMARY:A Spatial Data Infrastructure using Modern Standards: Lessons Learn ed from the eMOTIONAL Cities Project - Antonio Cerciello\, Joana Simoes URL:https://talks.staging.osgeo.org/foss4g-2024-academic-track/talk/VHU3TT/ END:VEVENT END:VCALENDAR