Statistical modeling of spatial big data: An approach from a functional data analysis perspective

被引：13
|
作者：
Giraldo, Ramon [1 ]
Dabo-Niang, Sophie [2 ]
Martinez, Sergio [1 ]
机构：
[1] Univ Nacl Colombia, Stat Dept, Bogota, Colombia
[2] Univ Lille 3, Lab LEM CNRS, Villeneuve Dascq, France
来源：
STATISTICS & PROBABILITY LETTERS | 2018年 / 136卷
关键词：
Spatial big data; Universal kriging; Functional data; RANDOM-FIELDS; PREDICTION;
D O I：
10.1016/j.spl.2018.02.025
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：
A literature review on spatial big data analysis is given. We show an application of Universal Kriging to a massive spatial dataset. We also present some perspectives of future work in this field. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码：126 / 129
页数：4
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