Next Article in Journal
A Spatio-Temporal Building Exposure Database and Information Life-Cycle Management Solution
Previous Article in Journal
Uncertainties in Classification System Conversion and an Analysis of Inconsistencies in Global Land Cover Products
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessArticle
ISPRS Int. J. Geo-Inf. 2017, 6(4), 113; doi:10.3390/ijgi6040113

Interpolation and Prediction of Spatiotemporal Data Based on XML Integrated with Grey Dynamic Model

1,2,* , 3,4
and
1,4
1
College of Information Science & Engineering, Northeastern University, Shenyang 110819, China
2
Qinhuangdao Branch Campus, Northeastern University, Qinhuangdao 066004, China
3
School of Software, Northeastern University, Shenyang 110819, China
4
College of Computer Science & Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
*
Author to whom correspondence should be addressed.
Received: 10 January 2017 / Revised: 31 March 2017 / Accepted: 5 April 2017 / Published: 7 April 2017
View Full-Text   |   Download PDF [1848 KB, uploaded 10 April 2017]   |  

Abstract

Interpolation and prediction of spatiotemporal data are integral components of many real-world applications. Thus, approaches of interpolating and predicting spatiotemporal data have been extensively investigated. Currently, the grey dynamic model has been used to enhance the performance of interpolating and predicting spatiotemporal data. Meanwhile, the Extensible Markup Language (XML) has unique characteristics of information representation and exchange. In this paper, we first couple the grey dynamic model with the spatiotemporal XML model. Based on a definition of the position part of the spatiotemporal XML model, we extract the corresponding position information of each time interval and propose an algorithm for constructing an AVL tree to store them. Then, we present the architecture of an interpolating and predicting process and investigate change operations in positions. On this basis, we present an algorithm for interpolation and prediction of spatiotemporal data based on XML integrated with the grey dynamic model. Experimental results demonstrate the performance advantages of the proposed approach. View Full-Text
Keywords: spatiotemporal Extensible Markup Language (XML); grey dynamic model; AVL tree; interpolation and prediction spatiotemporal Extensible Markup Language (XML); grey dynamic model; AVL tree; interpolation and prediction
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Bai, L.; Yan, L.; Ma, Z. Interpolation and Prediction of Spatiotemporal Data Based on XML Integrated with Grey Dynamic Model. ISPRS Int. J. Geo-Inf. 2017, 6, 113.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top