Advances in Databases and Information Systems, Lecture Notes in Computer Science
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 simplificat...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Book Chapter |
| Published: |
Springer
2014
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/11433 |
| _version_ | 1848747804151775232 |
|---|---|
| author | Ibrahim, A. Turdukulov, Ulanbek Kraak, M. |
| author2 | Yannis Manolopoulos |
| author_facet | Yannis Manolopoulos Ibrahim, A. Turdukulov, Ulanbek Kraak, M. |
| author_sort | Ibrahim, A. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T06:54:58Z |
| format | Book Chapter |
| id | curtin-20.500.11937-11433 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:54:58Z |
| publishDate | 2014 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-114332023-02-13T08:01:37Z Advances in Databases and Information Systems, Lecture Notes in Computer Science Ibrahim, A. Turdukulov, Ulanbek Kraak, M. Yannis Manolopoulos Goce Trajcevski Margita Kon-Popovska internal varying characteristics Spatiotemporal data model moving objects moving objects databases 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. 2014 Book Chapter http://hdl.handle.net/20.500.11937/11433 10.1007/978-3-319-10933-6_16 Springer restricted |
| spellingShingle | internal varying characteristics Spatiotemporal data model moving objects moving objects databases Ibrahim, A. Turdukulov, Ulanbek Kraak, M. Advances in Databases and Information Systems, Lecture Notes in Computer Science |
| title | Advances in Databases and Information Systems, Lecture Notes in Computer Science |
| title_full | Advances in Databases and Information Systems, Lecture Notes in Computer Science |
| title_fullStr | Advances in Databases and Information Systems, Lecture Notes in Computer Science |
| title_full_unstemmed | Advances in Databases and Information Systems, Lecture Notes in Computer Science |
| title_short | Advances in Databases and Information Systems, Lecture Notes in Computer Science |
| title_sort | advances in databases and information systems, lecture notes in computer science |
| topic | internal varying characteristics Spatiotemporal data model moving objects moving objects databases |
| url | http://hdl.handle.net/20.500.11937/11433 |