← Back to catalogue
Research draft

visualization

vr.tr.visualization · INF.MED

Let an agent explain visualisation and its forms and principles, support choosing and designing visualisations for data and concepts, describe imaging methods across fields, and address misleading visualisation.

Thing Registry Information and virtual systems

Research draft, second pass

A second pass drafted this model: the structure a model of this thing needs, and what is known about it in the world. The line under this one says how the second half was obtained - researched against sources, or recalled without web access, in which case nothing here was read anywhere and every claim is a lead to verify. Unreviewed either way.

written by Claude from model knowledge without web access - no source was read, every claim is a lead to verify

Researched by: Claude

Purpose and description

Let an agent explain visualisation and its forms and principles, support choosing and designing visualisations for data and concepts, describe imaging methods across fields, and address misleading visualisation.

The creation of images, diagrams, animations or other visual depictions to communicate, analyse or record information, including data and scientific visualisation, three-dimensional visualisation, document imaging, medical and underwater imaging, film portrayal and the use of scales and encodings such as linear scales; visualisation is a human-readable medium bridging data and perception and is practised in science, engineering, design, journalism and medicine.

What it is for: Visual depiction of information.

It can be explain forms and principles; support design; describe imaging methods; address misleading visuals.

Distinguishing features

Visual encoding

Perceptual principles

Many methods

Cross-field

What it looks like

Charts, maps, images, models and animations.

How it is recognised

Visual depiction to communicate or analyse information

Charts, imaging, three-dimensional models

A photograph records a scene; visualisation encodes data or concepts

Related models

is a kind of - category

visual depiction

is a kind of - category

human-readable medium

is related to - visualising models

scientific modeling

is related to - axes in charts

axis

In practice

Families and kinds

data visualisation such as charts and maps

scientific and three-dimensional visualisation

imaging methods such as medical and document imaging

information graphics and diagrams

visualisation in film and media

Standards and regulation

Chart and accessibility design standards

Medical imaging standards

Journalistic standards for graphics

Failure modes and hazards

Misleading charts and scales

Inaccessible colour and design

Confusing visualisation with raw imaging

Also called

linear scaleportrayal of subject on filmdocument imaging3D visualizationimaging methodunderwater imagingmusculoskeletal imagingbiomedical imagingnetwork visualizationdiagramregionalizationportrayalhigh-speed imagingconglomerate mapinfoboxvowel diagraminteractive visualizationnutrient balance sheettime barprocess visualizationbutterfly diagram (sunspots)non-invasive imagingbiological imagingchemical imagingChevron plotfalse colorgeovisualizationIndustrial process imagingMathematical visualizationMoodbarshock response spectrummusic visualizationZ curveinterferometric particle imagingFluorodeoxyglucose Positron Emission Tomographyseabed imageryphysico-geographical regionalizationGlobal regionalizationgeologic regionalizationGoogle Knowledge Panel

+5

Where this came from

wikidata · CC0 1.0

Drafted structure

Bundle to layer to finding to question, as the second pass will find it: 4 bundles · 8 layers · 8 findings · 16 questions.

Understand What visualisation is.

Concepts.

Concept

Concept and forms.

Concept

Concept.

  1. What is visualisation, and how do data visualisation, scientific visualisation and imaging differ? definition
  2. Which form is meant? boundary

Principles

Perceptual principles.

Principles

Principles.

  1. How do perception, encoding channels and scales such as linear and logarithmic scales shape effective visualisation? provenance
  2. Which entry fits visual perception? action
Design Designing visualisations.

Practice.

Choose

Choosing a visualisation.

Choose

Choosing.

  1. Which visualisation suits this data or concept, and how should it be designed? action
  2. Which entry fits chart types? action

Accessible

Accessibility and honesty.

Accessible

Accessibility.

  1. How can visualisations be made accessible and avoid misleading the viewer? action
  2. Is the visualisation potentially misleading? boundary
Imaging Imaging methods.

Technology.

Methods

Imaging across fields.

Methods

Methods.

  1. How do medical, document, underwater and three-dimensional imaging methods work? provenance
  2. Which entry fits a specific imaging method? action

Tools

Tools.

Tools

Tools.

  1. What software and tools are used for visualisation and imaging? provenance
  2. Which entry fits a specific tool? action
Learn History and teaching.

Education.

History

History.

History

History.

  1. How did visualisation develop from early maps and charts to computer graphics? provenance
  2. Which references are standard? provenance

Teach

Teaching.

Teach

Teaching.

  1. How can visualisation literacy be taught? action
  2. Which misconceptions arise? provenance

What the second pass must settle

  • Should data visualisation be a separate entry?
  • How should design guidelines be linked?
  • How should imaging standards be linked?