Representing internal varying characteristics of moving objects

Ahmed Ibrahim, Ulanbek Turdukulov, Menno Jan Kraak

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Abstract

Recent data acquisition tools have resulted in huge amounts of data that have spatial and temporal components. The movement represents an important category of such data. Some phenomena may have attributes that vary continuously over space, such as wildfires and storms. Nevertheless, for simplification purpose, most applications represent such phenomena as objects by neglecting their internal continuous structure. Moreover, little consideration has been given to such characteristics in moving objects database. At this end, this paper presents a data model for managing raster data and internal heterogenous attributes in moving objects. The data model utilizes the abstract data types. We add two abstractions (moving raster, and combined type) to describe the change of the raster data and internal varying characteristics of the moving objects along with specific operations that permit to analyse them. Query examples are provided to demonstrate the application of these operations.

Original languageEnglish
Pages (from-to)207-218
Number of pages12
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8716
DOIs
Publication statusPublished - 1 Jan 2014

Keywords

  • Internal varying characteristics
  • Moving objects
  • Moving objects databases
  • Spatiotemporal data model

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