D-STEM v2: A Software for Modeling Functional Spatio-Temporal Data
Dublin Core
Title
D-STEM v2: A Software for Modeling Functional Spatio-Temporal Data
Subject
: functional data analysis, 4D data, climate data, environmetrics, EM algorithm
Description
Functional spatio-temporal data naturally arise in many environmental and climate applications where data are collected in a three-dimensional space over time. The MATLAB
D-STEM v1 software package was first introduced for modeling multivariate space-time
data and has been recently extended to D-STEM v2 to handle functional data indexed
across space and over time. This paper introduces the new modeling capabilities of DSTEM v2 as well as the complexity reduction techniques required when dealing with large
data sets. Model estimation, validation and dynamic kriging are demonstrated in two case
studies, one related to ground-level air quality data in Beijing, China, and the other one
related to atmospheric profile data collected globally through radio sounding
D-STEM v1 software package was first introduced for modeling multivariate space-time
data and has been recently extended to D-STEM v2 to handle functional data indexed
across space and over time. This paper introduces the new modeling capabilities of DSTEM v2 as well as the complexity reduction techniques required when dealing with large
data sets. Model estimation, validation and dynamic kriging are demonstrated in two case
studies, one related to ground-level air quality data in Beijing, China, and the other one
related to atmospheric profile data collected globally through radio sounding
Creator
Yaqiong Wang
Source
https://www.jstatsoft.org/article/view/v099i10
Publisher
Peking University
Date
August 2021
Contributor
Fajar bagus W
Format
PDF
Language
Inggris
Type
Text
Files
Collection
Citation
Yaqiong Wang, “D-STEM v2: A Software for Modeling Functional Spatio-Temporal Data,” Repository Horizon University Indonesia, accessed April 19, 2025, https://repository.horizon.ac.id/items/show/8211.