Statistics for spatial functional data: some recent contributions

被引：141

作者：

Delicado, P. ^{[1
]}

Giraldo, R. ^{[1
,2
]}

Comas, C. ^{[1
]}

Mateu, J. ^{[3
]}

机构：

[1] Univ Politecn Cataluna, Barcelona, Spain

[2] Univ Nacl Colombia, Bogota, Colombia

[3] Univ Jaume 1, Castellon de La Plana, Spain

来源：

ENVIRONMETRICS | 2010年 / 21卷 / 3-4期

关键词：

areal data; functional data analysis; geostatistical data; point processes; smoothing;

D O I：

10.1002/env.1003

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Functional data analysis (FDA) is a relatively new branch in statistics. Experiments where a complete function is observed for each individual give rise to functional data. In this work we focus on the case of functional data presenting spatial dependence. The three classic types of spatial data structures (geostatistical data, point patterns, and areal data) can be combined with functional data as it is shown in the examples of each situation provided here. We also review some contributions in the literature on spatial functional data. Copyright (C) 2009 John Wiley & Sons, Ltd.

引用

页码：224 / 239

页数：16

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