2019 FOSS4G Bucharest Talks speaker: Simone Dalmasso
Talks
Struggle with WebGL to render vector data
Spatial information and its treatment has evolved from the centralization and publication of this in a single repository via standards such as WMS to the service of the information as it is to be processed by browsers via WFS.
However, the WFS protocol has some shortcomings in terms of performance when it comes to the format in which to serve the information, giving way to more optimal formats for the service of vector information such as .pbf.
This format allows the transmission of large amounts of information to the local browser client.
This information, increasingly larger, requires the use of specific rendering libraries such as WebGL.
The present work shows a state of the art of the existing WebGL libraries and a real test field on which the data have been tested, showing the results obtained and the most optimal solution.
The following frameworks have been considered for the representation of large amounts of data:
* OpenLayers
* Mapbox GL js
* Deck GL
* kepler.gl
Resulting on the tests executed to represent large amount of data, Mapbox GL has revealed as the more flexible tools in terms of performance and capabilities.
Serverless infrastructure to manage vector and tiff data: pbf and COGs
Classical spatial information architectures have required a server for the dissemination of spatial information at vector and raster level.
With the evolution of technologies and the empowerment of navigators, new alternatives to the dissemination of spatial information in vector and raster format have appeared.
Thus, at present, it is possible to conform an architecture serverless that allows the publication of spatial information based on the following standards and technologies:
* Vectorial information in .pbf format using the STAC and WFS3 architecture.
* Serverless raster information using COGs: Cloud Optimised Geotiffs
* Rendering of large amounts of information via WebGL in the browser.
This talk offers an overview of a full serverless architecture based on OpenSource technologies.