Florent Gravin
Tech lead and solution architect at Camptocamp Geospatial.
Living in the mountains in Chambery.
Sessions
The GeoNetwork-opensource project is a catalog application facilitating the discovery of resources within any local, regional, national or global "Spatial Data Infrastructure" (SDI). GeoNetwork is an established technology - recognized as an OSGeo Project and a member of the foss4g community for over a decade.
The GeoNetwork team would love to share what we have been up to in 2022!
The GeoNetwork team is excited to talk about the different projects that have contributed with the new features added to the software during the last twelve months. Our rich ecosystem of schema plugins continues to improve; with national teams pouring fixes, improvements and new features into the core application.
We will also talk a bit about the health and happiness of the GeoNetwork opensource team. Progress of our main branches (3.12.x and 4.0.x), and release schedule.
Attend this presentation for the latest from the GeoNetwork community and this vibrant technology platform.
Baremaps is a blazing fast vector tile server which makes your life easier regarding the publication of OSM data: import, generation and cloud storage.
But Baremaps also shines and differentiates from solutions like pg_tileserv in the way you can customize your tileset and merge custom datasets.
Based on this advantage, we turn Baremaps out to be a vector tiles studio api, allowing the user to easily customize the content of the vector tiles.
We adopted the OGC api specification for tileset, layers and styles. Baremaps offers various entry points to manage the datasets and serve them as vector tiles. As an exemple, you can dynamically import different kinds of data sources (geojson, SHP, database) to the server which will expose them as datasets, then you can use any kind of dataset within the same tileset. You can also bring value to your data by doing aggregations (spatial, attribute, hexbin) or computation. It leverages the power of postgis functions and vector tiles specification into one solution. You can attach a style for your dataset and baremaps will serve both Mapbox style file and Vector tiles stream to render the map the way you expect.
To illustrate this concept, we will showcase a studio UI which literally provides a tool to quickly create valuable maps and publish them to the web.
Baremaps Studio is the solution to handle dynamic rendering and styling of your vector datas.
Open data movement has been very active and trendy lately. Many solutions brought fresh air in the metadata ecosystem. Nevertheless, no one really pushed forward the confluence of the open data world and the geo metadata world (often powered by ISO or INSPIRE standards).
Actually, many organizations still use both systems, which leads to confusion for the end users: datas are duplicated, metadatas are harvested in both directions, many websites aim to serve the same goal. Overall, this split does not help to easily find your data.
It can also give headache to platform administrators, developers and architects who try hard to keep all catalogs synchronized.
Based on this analysis, we are convinced that an ultimate solution could take the advantages of both ecosystems. Complex ISO standards, INSPIRE rules and opendata light schemas can co-exist in the same catalog. All new great ideas like quick data visualization or dataviz widgets can be supplied for any kind of data. The datahub literally came out from the need to centralize any kind of public dataset within the same platform.
Thought as a backend API agnostic solution, the datahub first implementation has started based on the GeoNetwork 4 api, with an ElasticSearch backend.
The search is fast, accurate, multilingual and customizable. The solution has been designed from use cases: how do you want to help the end users to find, use and value their datas. It brings a new experience to old fashion INSPIRE catalogs and aims to embrace modern challenges like the community, vote, favorites, publishers, usages of the datasets, dataviz and so on.
Leveraging technical challenges to merge open data and metadata, the datahub emphases on a pure, intuitive and fluent user experience.