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UID:pretalx-foss4g-2022-CAPMXK@talks.staging.osgeo.org
DTSTART;TZID=CET:20220824T151500
DTEND;TZID=CET:20220824T154500
DESCRIPTION:deck.gl is one of the most advanced open-source libraries for d
 ata visualization. In this session we will discuss how its WebGL-powered e
 ngine can be used to perform visual exploratory data analysis of large dat
 asets. This library is quickly becoming one of the most used in the FOSS4G
  world due to its open governance model and compatibility with other mappi
 ng libraries like MapLibre GL JS. \n\nWe will learn how a deck.gl visualiz
 ation is structured and what the main concepts are: views\, layers and acc
 essors. We will discuss its reactive architecture and how it can be used t
 o build simple scripting prototypes and complex applications with modern J
 avaScript frameworks like React\, Angular or Vue.js. \n\nWe will present d
 ifferent examples ranging from simple layer visualizations to thematic and
  choropleth maps to advanced interactive 3D visualizations including anima
 tions.\n\nFinally we will focus on specific use cases for large data visua
 lization\, from datasets with hundreds of thousands of features with data 
 formats like GeoJSON to datasets with billions of features using advanced 
 tiling schemes.
DTSTAMP:20260404T213938Z
LOCATION:Room Limonaia
SUMMARY:An introduction to deck.gl for data visualization - Borja Muñoz
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/CAPMXK/
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UID:pretalx-foss4g-2022-TLJESF@talks.staging.osgeo.org
DTSTART;TZID=CET:20220825T101500
DTEND;TZID=CET:20220825T102000
DESCRIPTION:In this talk\, we'll review the major milestones that have defi
 ned Spatial SQL as the powerful tool for geospatial analytics that it is t
 oday. \n \nFrom the early foundations of the JTS Topology Suite and GEOS a
 nd its application on the PostGIS extension for PostgreSQL\, to the latest
  implementation in Spark SQL using libraries such as the CARTO Analytics T
 oolbox for Databricks\, Spatial SQL has been a key component of many geosp
 atial analytics products and solutions\, leveraging the computing power of
  different databases with SQL as lingua franca\, allowing easy adoption by
  data scientists\, analysts and engineers. \n \nThe CARTO Analytics Toolbo
 x is a comprehensive library that provides advanced geospatial functionali
 ty through Spark SQL. It enables Spatial SQL analytics at scale providing 
 the foundational tools for analyzing and visualizing geospatial data. \n \
 nIn this talk we'll cover the technical aspects of the library implementat
 ion using Open Source technologies\, as well as demonstrating the installa
 tion and practical usage with a real-life example. \n \nOur talk will go t
 hrough some of the geospatial operations that can be performed directly in
  Spark and we will demonstrate how users of the Analytics Toolbox can crea
 te beautiful map visualizations leveraging the latest Open Source renderin
 g tools\; and how to address a wide variety of spatial use cases using oth
 er products built on top of open source technologies\, like CARTO and Data
 bricks.
DTSTAMP:20260404T213938Z
LOCATION:Room 4
SUMMARY:A new SQL library to enable spatial analytics in Spark - Borja Muñ
 oz\, Ernesto Martínez Becerra
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/TLJESF/
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