Title of article
Visualising high-dimensional data in time and space: ideas from the Orca project
Author/Authors
Lumley، نويسنده , , Thomas and Sutherland، نويسنده , , Peter and Rossini، نويسنده , , Anthony and Lewin-Koh، نويسنده , , Nicholas J. Cook ، نويسنده , , Di and Cox، نويسنده , , Zach، نويسنده ,
Issue Information
دوفصلنامه با شماره پیاپی سال 2002
Pages
7
From page
189
To page
195
Abstract
Environmental data are frequently high-dimensional with measurements of multiple chemical constituents, plant or animal species, or meteorological variables. Environmental data are also frequently structured with interest in the patterns of variation over time and space. We describe some new data visualization methods from the Orca project that allow the analyst to reduce the dimension of the data without obscuring its basic structure and illustrate these on air pollution data.
Keywords
Orca project , Visualization , High-dimensional data
Journal title
Chemometrics and Intelligent Laboratory Systems
Serial Year
2002
Journal title
Chemometrics and Intelligent Laboratory Systems
Record number
1460528
Link To Document