Graphic models in science are visual tools that help explain and analyze complex scientific ideas and systems. They include diagrams, flowcharts, and 3D models that show how different parts of a concept or process are connected. For example, molecular models show how atoms are arranged in a molecule, while ecosystem models illustrate the relationships between different organisms and their environment. These models make complex information easier to understand, aid in research and education, and help scientists and students grasp abstract concepts more clearly.
Examples
Analog Models - Analog models in science are physical or conceptual representations that mimic the behavior of complex systems to facilitate understanding, experimentation, and prediction.
XY Graphs, Line diagrams - Graphs can model relationships between dependent and independent variables.
Buoyancy & Density - (Sheets)
Component Diagrams - Illustrate the components of a system and their interconnections.
Mystery Tube (Slides)
Sequence Diagrams / Flowcharts - Show the sequence of interactions between objects in a system.
Mystery Container (draw & siphon)
Human memory (Diagrams.net / Draw.io) -Flowcharts
Heat Maps - Visual representations of data where values are depicted by color, enabling quick identification of patterns.
Class Diagrams - Show the structure of a system by depicting its classes and their relationships.
Organizational Hierarchy in biology (Wolfram Alpha)
Infographics - Visual representations of information, data, or knowledge designed to present complex information quickly and clearly.
Climate Risks - (Canva)
Venn Diagrams - Represent the logical relationships and intersections between different sets of data or concepts.
Venn diagrams in science (Slides; ChatGPT)