Dynamic graphics in a GIS: Exploring and analyzing multivariate spatial data using linked software

被引：0

作者：

Cook, D ^{[1
]}

Majure, JJ ^{[1
]}

Symanzik, J ^{[1
]}

Cressie, N ^{[1
]}

机构：

[1] IOWA STATE UNIV, GIS SUPPORT & RES FAC, AMES, IA 50011 USA

来源：

COMPUTATIONAL STATISTICS | 1996年 / 11卷 / 04期

关键词：

case profile plot; geographic information systems; grand tour; linked brushing; parallel coordinates; remote sensing; visualization;

D O I：

暂无

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Interactive and dynamic graphical methods provide powerful tools to interface a data analyst with data. For multivariate data, interactive techniques such as linked brushing and identification allow an analyst to query the data, isolate or mask subsets, and examine dependencies between many variables. Dynamic techniques such as the grand tour give the analyst a sense of the overall shape (clusters or nonlinearities) of the data. This paper reports on research into interactive and dynamic graphical methods applied to spatial data made available through a link between two software packages: ArcView 2.1(TM)(a Geographic Information System), and XGobi (a dynamic graphics program for exploratory multivariate data analysis).

引用

页码：467 / 480

页数：14

共 18 条

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