Traditional GIS outputs often focus on a single map or static chart, but modern communication demands richer, data-driven infographics that combine multiple visual elements-maps, line charts, pie charts, bar charts, and styled text-into publish-ready layouts. This presentation shares practical techniques for building complex, multi-page infographics entirely within QGIS, leveraging its native layout system to produce silky-clean charts without the need for external graphic design software.

Attendees will discover how to produce publication-quality line, pie, and bar charts directly from attribute data using QGIS’s built-in tools, layout items, and PostGIS functions—all, while maintaining full control over styling. The real challenge, however, lies in performance: generating multi-page infographics with dozens of data-driven elements can quickly become slow and resource-intensive.

To solve this, we will explore a performance-tuning strategy that distributes the data extraction workload across three key components of QGIS:

-SQL layers: pre-aggregating and filtering data at the database level to reduce processing overhead.

-Model Designer: building reusable, batch-processable models that prepare data for each page by storing required values as project variables.

-Layout expressions: using dynamic expressions to pull pre-processed data directly into layout items, avoiding repeated recalculation.

By properly distributing the load, we achieve near-instant layout refreshes even for infographics with 70+ layers or thousands of data points. The session will include live demonstrations of a real-world example.
A sample of the output can be viewed at
https://reliefweb.int/report/syrian-arab-republic/syrian-arab-republic-overview-humanitarian-response-january-december-2025