Methods for spherical data analysis and visualization

被引:64
作者
Leong, P [1 ]
Carlile, S
机构
[1] Chinese Univ Hong Kong, Dept Comp Sci & Engn, Shatin, NT, Peoples R China
[2] Univ Sydney, Dept Physiol, Sydney, NSW 2006, Australia
[3] Univ Sydney, Inst Biomed Res, Sydney, NSW 2006, Australia
[4] Univ Sydney, Dept Elect Engn, Sydney, NSW 2006, Australia
基金
澳大利亚研究理事会;
关键词
auditory localization; spherical data; statistics; visualization;
D O I
10.1016/S0165-0270(97)00201-X
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
A systematic analysis of the localization of objects in extra-personal space requires a three-dimensional method of documenting location. In auditory localization studies the location of a sound source is often reduced to a directional vector with constant magnitude with respect to the observer, data being plotted on a unit sphere with the observer at the origin. This is an attractive form of data representation as the relevant spherical statistical and graphical methods are well described. In this paper we collect together a set of spherical plotting and statistical procedures to visualize and summarize these data. We describe methods for visualizing auditory localization data without assuming that the principal components of the data are aligned with the coordinate system. As a means of comparing experimental techniques and having a common set of data for the verification of spherical statistics, the software (implemented in MATLAB) and database described in this paper have been placed in the public domain. Although originally intended for the Visualization and summarization of auditory psychophysical data, these routines are sufficiently general to be applied in other situations involving spherical data. (C) 1998 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:191 / 200
页数:10
相关论文
共 10 条
[1]   The nature and distribution of errors in sound localization by human listeners [J].
Carlile, S ;
Leong, P ;
Hyams, S .
HEARING RESEARCH, 1997, 114 (1-2) :179-196
[2]  
Carlile S., 1996, Virtual auditory space: Generation and applications
[3]  
Fisher N. I., 1993, Statistical analysis of spherical data
[4]  
Jolliffe I. T., 2002, Principal component analysis for special types of data, V2nd, DOI [10.1007/0-387-22440-8_13, DOI 10.1007/0-387-22440-8_13, DOI 10.1016/0169-7439(87)80084-9]
[5]  
KENT JT, 1982, J ROY STAT SOC B MET, V44, P71
[6]   A MODEL OF HEAD-RELATED TRANSFER-FUNCTIONS BASED ON PRINCIPAL COMPONENTS-ANALYSIS AND MINIMUM-PHASE RECONSTRUCTION [J].
KISTLER, DJ ;
WIGHTMAN, FL .
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 1992, 91 (03) :1637-1647
[7]   2-DIMENSIONAL SOUND LOCALIZATION BY HUMAN LISTENERS [J].
MAKOUS, JC ;
MIDDLEBROOKS, JC .
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 1990, 87 (05) :2188-2200
[8]   ACUITY OF SOUND LOCALIZATION - A TOPOGRAPHY OF AUDITORY SPACE .1. NORMAL HEARING CONDITIONS [J].
OLDFIELD, SR ;
PARKER, SPA .
PERCEPTION, 1984, 13 (05) :581-600
[9]  
TUFTE E, 1990, ENVISIONING INFORMAT
[10]   HEADPHONE SIMULATION OF FREE-FIELD LISTENING .2. PSYCHOPHYSICAL VALIDATION [J].
WIGHTMAN, FL ;
KISTLER, DJ .
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 1989, 85 (02) :868-878