Lecture

Visual Variables: Components and Properties

Related lectures (16)

Illustrator Image Preparation

Covers the preparation of a bitmap image in Photoshop for integration into a vector board in Illustrator.

Ligand Field Theory

Explores Ligand Field Theory, color theory, transition metal complexes, and protein stability.

Photochemistry II: Spectral Sensitization

Explores spectral sensitization in photography, panchromatic films, color vision, and reproduction methods.

Gauguin and Symbolism: Beyond Impressionism

Explores Gauguin's transition from Impressionism to Symbolism, highlighting his unique artistic evolution and cultural influences.

Visual Design Principles: Human Perception and Interface Design

Explores human perception and visual design principles for creating engaging user interfaces.

Spectroscopy Fundamentals

Covers the fundamentals of spectroscopy, including color theory and spectroscopic techniques.

Impressionism: Artistic Themes and Techniques

Delves into the birth of Impressionism, major figures, themes, and techniques used by Impressionist painters.

Color theory

Covers the basics of color theory and its importance in design.

Visual Variables

Introduces visual variables in thematic maps and the semiology of graphics.

Thematic attributes and classification

Covers statistical thematic mapping, types of thematic maps, and discretization methods for representing and classifying dataset characteristics.

Visual Variables in Cartography

Introduces visual variables in cartography, emphasizing simplicity and color perception for effective map design.

Biophotonics Fundamentals

Covers biophotonics fundamentals, including the interaction between light and biological matter, the nature of light, speed measurement, and human vision.

Data Visualization Techniques: Applications and Principles

Discusses data visualization techniques, emphasizing their applications and principles for effective communication of complex information.

Thematic Attributes and Classification

Covers thematic attributes, classification, data representation, and discretization methods in geographic information systems.

Opponency Revisited

Explores the concept of opponency in color vision, covering trichromatic color vision, opponent colors, and receptive fields.

L-Systems: Understanding and Applications

Covers the basics of L-Systems, explores various examples, discusses stochastic variations, and extends to 3D modeling.