Visual Parameter Selection for Spatial Blind Source Separation

Analysis of spatial multivariate data, i.e., measurements at irregularly‐spaced locations, is a challenging topic in visualization and statistics alike. Such data are inteGral to many domains, e.g., indicators of valuable minerals are measured for mine prospecting. Popular analysis methods, like PCA...

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Bibliographic Details
Published in:	Computer graphics forum Vol. 41; no. 3; pp. 157 - 168
Main Authors:	Piccolotto, N., Bögl, M., Muehlmann, C., Nordhausen, K., Filzmoser, P., Miksch, S.
Format:	Journal Article
Language:	English
Published:	England Blackwell Publishing Ltd 01.06.2022
Subjects:	CCS Concepts Domains Evaluation Geochemistry GeoGraphic visualization Human‐centered computing → Visualization techniques Multivariate analysis Parameter identification Prototypes Separation Signal processing Spatial data Visualization GeoGraphic visualization CCS Concepts Human‐centered computing → Visualization techniques
ISSN:	0167-7055, 1467-8659
Online Access:	Get full text
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