Chapter 30 Further Reading

LCL Graphics Documentation

Data Visualization Principles

  • Edward Tufte, "The Visual Display of Quantitative Information" (2nd edition, 2001) — The definitive work on data visualization. Introduces concepts like data-ink ratio, chart junk, and lie factor. Essential reading for anyone who draws charts.

  • Edward Tufte, "Envisioning Information" (1990) — Covers design strategies for presenting complex data clearly, including small multiples, color usage, and layering.

  • Stephen Few, "Show Me the Numbers" (2nd edition, 2012) — Practical guide to designing tables and graphs for business data. Covers when to use each chart type and how to make them effective.

  • Claus O. Wilke, "Fundamentals of Data Visualization" (2019) — Modern, comprehensive guide available free online. Covers principles that apply regardless of the rendering technology.

Computer Graphics Foundations

  • James D. Foley et al., "Computer Graphics: Principles and Practice" — The standard textbook on computer graphics. Chapter 3 covers rasterization (how lines and shapes are drawn pixel by pixel), which is what the LCL canvas does internally.

  • Bresenham's Line Algorithm — The algorithm used internally to rasterize lines from MoveTo/LineTo. Understanding it deepens your appreciation for what Canvas.LineTo does.

Charting Libraries for Lazarus

  • TAChart: wiki.lazarus-ide.org/TAChart — Lazarus's built-in charting component. After learning to draw charts from scratch (as in this chapter), TAChart provides a higher-level alternative with axes, legends, series types, and interactive features. Learning the fundamentals first makes TAChart much easier to use effectively.

  • fpvectorial: Part of Free Pascal's packages, supports reading/writing SVG and other vector formats. Useful for exporting charts to scalable formats.