Efficient Information Visualization in LCA

Background, Goal and ScopeA complete life cycle assessment (LCA) always requires several itemizations of goal/scope definitions, inventory analysis and impact analysis. This requires the retrieval and collection of inventory information on all processes with which a product or any part of it comes into either direct or indirect contact. As a result, the data required for LCA is vast, uncertain and, therefore, complex. Up until now, unfortunately, and as far as the authors are aware, there has not been much computer-assisted aid available from any of the systems currently used in either academia or industry to support any life cycle (LC) related data representation, other than the traditional methods of tables, xy-graphs, bar charts, pie charts and various 3-D variants of those which are difficult for humans to interpret.Main FeaturesBenefiting from the synergy of latest developments in both visualization techniques and computer technology, the authors are able to introduce a new information representation approach based on glyphs. These exploit the human perceptual capability for distinguishing spatial structures and shapes presented in different colors and textures. Within this approach, issues of representing life cycle related information at a glance, filtering out data so as to reduce the information load, and representation of data features, such as uncertainty and estimated errors, are targeted.ResultsAdvanced information visualization, the process which transforms and maps data to a visual representation, employs the glyphs rendered here to create abstract representations of multi-dimensional data sets. Different parameters describing spatial, geometrical and retinal properties of such glyphs, and defining their position, orientation, shape, color, etc., can be used to encode more information in a comprehensible format, thus allowing multiple values to be encoded in those glyph parameters. The natural function of glyphs, linking (mapped) data within a known context with the attributes that in turn control their visualization, is believed capable of providing sufficient functionality to interactively support designers and LCA experts performing life cycle inventory (LCI) information analysis so that they can operate faster and more efficiently than at present.ConclusionsWithin this paper, the first of a small series on efficient information visualization in LCA, the motivation for and essential basic principles of the approach are introduced and discussed. With this technique, the essential characteristics of data, relationships, patterns, trends, etc. can be represented in a much better structured and compact manner, thus rendering them clearer and more meaningful. It is hoped that a continuing interest in this work combined with an improved collaboration with industrial partners will eventually provide the grounds for translating this novel approach into an efficient and reliable tool enhancing applied LCA in practice on a broader base.OutlookMore technical details of the approach and its implementation will be introduced and discussed in the following papers, and examples will be offered demonstrating its application and first experimental translation into practice.