The visual display of quantitative information
The visual display of quantitative information
Things that make us smart: defending human attributes in the age of the machine
Things that make us smart: defending human attributes in the age of the machine
The image processing handbook (3rd ed.)
The image processing handbook (3rd ed.)
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Visualization in Scientific Computing
Visualization in Scientific Computing
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Visualisation Systems are in general designed to maximise the cognitive ability of system users particularly when exposed to large sets of otherwise difficult to comprehend data, by appealing to various strengths of the human perceptual system in processing visual information. Scientific Visualisation in particular aims to present physical data in ways that facilitate the discovery and/or understanding of deterministic mechanisms or underlying cause and effect of the physical system described by the data.This report examines the development of a Scientific Visualisation tool, which has been developed for use in conjunction with existing specialist numerical modelling software. The modelling software is typically used in an iterative fashion, with successive user specified inputs dependent on analysis of prior output. The newly developed visual tool, developed for use with Windows operating system using Borland Delphi and an object- oriented paradigm, overcomes the lack of input/output visualisation capability of the modelling software. By using the visual tool, input states can be controlled quickly and interactively through direct graphical means. The program runs the model software as a separate background process, and automatically displays model output in an interactive display. Model output consists of many thousands of data values that can be viewed simultaneously by the visual tool as a two-dimensional coloured contour. The system has been specifically designed to handle layered earth inversion data but interactive visualisation would be beneficial to other scientific applications.