BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.staging.osgeo.org//foss4g-2024//speaker//FNYKAD 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-2024-8RGNHX@talks.staging.osgeo.org DTSTART;TZID=-03:20241204T171500 DTEND;TZID=-03:20241204T174500 DESCRIPTION:GeoParquet (https://geoparquet.org/) is a cloud-native format c reated to address the geospatial interoperability issues between data ware houses. It is based on the widely supported columnar storage Apache Parque t (https://parquet.apache.org/)\, extending it to add support for geometry data types (e.g.: points\, lines and polygons). Although a relatively rec ent format\, it already has a good ecosystem of tools\, and it took Standa rdisation very seriously by joining the path to become an OGC Standard (ht tps://github.com/opengeospatial/geoparquet).\n\nThe eMOTIONAL Cities proje ct (https://emotionalcities-h2020.eu/) aims to understand how the natural and built environment can shape the feelings and emotions of those who exp erience it. At its core\, lies a Spatial Data Infrastructure (SDI)\, which combines a variety of datasets from the Urban Health domain (https://emot ional.byteroad.net/). These datasets should be available to urban planners \, neuroscientists and other stakeholders\, for analysis\, creating data p roducts and eventually making decisions based upon them. To support an eff icient analysis\, especially of the larger datasets\, we have decided to o ffer GeoParquet as an alternate encoding. In this talk we share our experi ence\, converting and publishing the +90 datasets of the eMOTIONAL Cities SDI using a stack of FOSS/OSGeo software (GDAL\, gpq\, pygeoapi).\n\nWe wi ll show that there is already a set of (FOSS) tools in place (e.g.: reader s\, writers\, validators) to support this task and to encourage others to add a Standards-based cloud-native format to their SDIs. DTSTAMP:20260516T170210Z LOCATION:Room V SUMMARY:Adding GeoParquet to a Spatial Data Infrastructure: What\, Why and How - Antonio Cerciello\, Joana Simoes URL:https://talks.staging.osgeo.org/foss4g-2024/talk/8RGNHX/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-2024-VQNTSA@talks.staging.osgeo.org DTSTART;TZID=-03:20241204T174500 DTEND;TZID=-03:20241204T181500 DESCRIPTION:pygeoapi is an OGC API Reference Implementation. Implemented in Python\, pygeoapi supports numerous OGC APIs via a core agnostic API\, di fferent web frameworks (Flask\, Starlette\, Django) and a fully integrated OpenAPI capability. Lightweight\, easy to deploy and cloud-ready\, pygeoa pi's architecture facilitates publishing datasets and processes from multi ple sources. The project also provides an extensible plugin framework\, en abling developers to implement custom data adapters\, filters and processe s to meet their specific requirements and workflows. pygeoapi also support s the STAC specification in support of static data publishing.\n\npygeoapi has a significant install base around the world\, with numerous projects in academia\, government and industry deployments. The project is also an OGC API Reference Implementation\, lowering the barrier to publishing geos patial data for all users.\n\nThis presentation will provide an update on the current status\, latest developments in the project\, including new co re features and plugins. In addition\, the presentation will highlight key projects using pygeoapi for geospatial data discovery\, access and visual ization. DTSTAMP:20260516T170210Z LOCATION:Room II SUMMARY:pygeoapi project status - Tom Kralidis\, Paul van Genuchten\, Just van den Broecke\, Joana Simoes URL:https://talks.staging.osgeo.org/foss4g-2024/talk/VQNTSA/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-2024-ZLGZPA@talks.staging.osgeo.org DTSTART;TZID=-03:20241206T120000 DTEND;TZID=-03:20241206T123000 DESCRIPTION:Tiled maps are well-known for their performance and have been p resent in web map applications for more than twenty years. Vector tiles co mbine all the benefits of map tiling with the ability to access attributes \, enabling client side attribute-based rendering. This makes them one of the most efficient ways of visualising vector data\, and they are present in many interactive web maps that we see on the web today.\n\nHowever the proliferation of web map applications has often resulted in a lack of inte roperability between tile servers and clients. This was the motivation for the OGC API - Tiles Standard (https://tiles.developer.ogc.org/)\, publish ed in late 2022. The core of this Standard is very simple\, adding some fo rmality to what people have been doing for years with XYZ tilesets\, while specifying some metadata elements that help clients do a better job at cr eating maps (e.g.: title\, description\, zoom levels\, custom projection). \n\nIn this talk we will present a software stack to render OGC compliant vector tiles. This stack includes pygeoapi (https://pygeoapi.io/)\, an OS Geo project and a Reference Implementation for OGC API - Tiles (https://ww w.ogc.org/resources/product-details/?pid=1663). The architecture of pygeoa pi supports backend plugins\, which use different software for storing and accessing geospatial data. For the purpose of creating vector tiles\, we will present the MVT-elastic plugin (https://github.com/geopython/pygeoapi /blob/master/pygeoapi/provider/mvt_elastic.py)\, which leverages the Elast icsearch capability of rendering vector tiles on the fly\, from geospatial data stored in an Elasticsearch index. Elasticsearch (https://github.com/ elastic/elasticsearch) is a distributed\, RESTful search and analytics eng ine. Recently\, this plugin also became capable of exposing the attributes associated with the data\, enabling client side styling of attributes. Th ese capabilities can be demonstrated by creating a Leaflet map that consum es and styles the pygeoapi+elastic vector tiles (https://emotional-cities. github.io/vtiles-example/demo-oat.htm). \n\nWe hope that this presentation can make the creation of fast\, expressive and interoperable maps\, acces sible to anyone. DTSTAMP:20260516T170210Z LOCATION:Room I SUMMARY:Rendering OGC API Compliant Vector Tiles on the Fly with pygeoapi + Elasticsearch - Joana Simoes\, Jorge Sanz URL:https://talks.staging.osgeo.org/foss4g-2024/talk/ZLGZPA/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-2024-VJHSRU@talks.staging.osgeo.org DTSTART;TZID=-03:20241206T140000 DTEND;TZID=-03:20241206T143000 DESCRIPTION:Open Software and Open Standards are complementary pieces of th e geospatial ecosystem. In January 2022\, OSGeo and OGC signed a new and u pdated version of the Memorandum of Understanding (MoU) that aims to maxim ize the achievement of the mission and goals of both organizations. Execut ion of joint Code Sprints\, identifying free and open source technologies that could be used as Reference Implementations for OGC Standards and vali dating OGC compliance tests are examples of activities that can take place within the scope of the agreement.\n\nIn the first year after the agreeme nt was signed\, we established the basilar stones for the OSGeo membership within OGC and promoted the related activities within OSGeo. Now we start to see an increasing interest from both sides and some outcomes which are important to highlight.\n\nThis presentation will provide an overview of all activities accomplished under the MoU over the last year\, as well as discuss future plans. For those who have been distracted\, it will reitera te the benefits of the agreement\, which allows OSGeo charter members to r epresent the priorities of OSGeo in the development of OGC Standards and s upporting documents and services.\n\nMoU: https://www.osgeo.org/wp-content /uploads/MOU_OGC_OSGeo_2022_signed.pdf\nJoint Code Sprint 2024: https://de veloper.ogc.org/sprints/23/\nTeamEngine: https://www.osgeo.org/projects/te amengine/ DTSTAMP:20260516T170210Z LOCATION:Room II SUMMARY:OSGeo and OGC MoU in full swing! - Tom Kralidis\, Joana Simoes\, Co drina Ilie URL:https://talks.staging.osgeo.org/foss4g-2024/talk/VJHSRU/ END:VEVENT END:VCALENDAR