Spatiotemporal Data Model and Query Language for Tracking Land Use Change

2005 ◽  
Vol 1902 (1) ◽  
pp. 107-113 ◽  
Author(s):  
Bo Huang ◽  
Christophe Claramunt
Keyword(s):  
Land Use ◽  
Data Model ◽  
Query Language ◽  
Spatiotemporal Data ◽  
Spatiotemporal Information ◽  
Management Group ◽  
Object Databases ◽  
Temporal Dimensions ◽  
Spatiotemporal Queries ◽  
Spatiotemporal Data Model

Management of spatiotemporal information requires a more generic and consolidated data model to facilitate applications such as tracking land use parcel changes. This paper presents such a spatiotemporal data model in the context of object databases by extending the Object Data Management Group (ODMG) standard and examines its feasibility in a land use application. This model extends the ODMG object model with a parameterized type, TimeSeries<T>, which allows the shifting of spatial types into spatiotemporal types to support the representation of a series of states (i.e., the history) of an object. An object query language (OQL), spatiotemporal OQL (STOQL), which adds spatial and temporal dimensions to ODMG's OQL, is also designed. A case study demonstrates that STOQL supports the formulation of various spatiotemporal queries pertaining to historical states of spatial objects as well as spatial changes, including spatial type substitution. The model and query language have been implemented by using an object-oriented language in a geographic information system environment.

Spatiotemporal Object Database Approach to Dynamic Segmentation

2003 ◽  
Vol 1836 (1) ◽  
pp. 118-125 ◽  
Author(s):  
Bo Huang ◽  
Li Yao
Keyword(s):  
Query Language ◽  
Time Varying ◽  
Data Types ◽  
The Road ◽  
Dynamic Segmentation ◽  
Management Group ◽  
Object Database ◽  
On The Road ◽  
Temporal Dimensions ◽  
Spatiotemporal Queries

Dynamic segmentation is viewed as one of the most important functions of geographic information systems for transportation applications. Although the road network and associated events (e.g., pavement material, traffic volume, incidents) can be referenced to both space and time, the spatial and temporal dimensions have not been well integrated. Modeling space-varying, time-varying, and space-time-varying events in dynamic segmentation by using an object database approach that is in line with the Object Database Management Group standard is explored. A mechanism called parametric polymorphism is used to lift conventional data types to spatial, temporal, and spatiotemporal types for maintaining knowledge about events that could change spatially, temporally, and spatiotemporally along linear features. An associated object query language, DS-OQL, was designed to support the formulation of spatial, temporal, and spatiotemporal queries on the road and event information.

scholarly journals Spatiotemporal data model for network time geographic analysis in the era of big data

2015 ◽  
Vol 30 (6) ◽  
pp. 1041-1071 ◽  
Author(s):  
Bi Yu Chen ◽  
Hui Yuan ◽  
Qingquan Li ◽  
Shih-Lung Shaw ◽  
William H.K. Lam ◽  
...  
Keyword(s):  
Big Data ◽  
Data Model ◽  
Spatiotemporal Data ◽  
Geographic Analysis ◽  
Network Time ◽  
Spatiotemporal Data Model

scholarly journals A Novel Spatiotemporal Data Model for River Water Quality Visualization and Analysis

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 155455-155461
Author(s):  
Yinguo Qiu ◽  
Hui Xie ◽  
Jiuyun Sun ◽  
Hongtao Duan
Keyword(s):  
Water Quality ◽  
River Water ◽  
Data Model ◽  
River Water Quality ◽  
Spatiotemporal Data ◽  
Spatiotemporal Data Model

Modeling for application data with 3D spatiale feature in MADS

2019 ◽  
Vol 29 (3-4) ◽  
pp. 255-262
Author(s):  
Chamseddine Zaki ◽  
Mohamed Ayet ◽  
Allah Bilel Soussi
Keyword(s):  
Spatial Data ◽  
Data Model ◽  
Three Dimensions ◽  
Spatiotemporal Data ◽  
Temporal Data ◽  
Semantic Richness ◽  
Data History ◽  
Application Data ◽  
Spatio Temporal ◽  
Spatiotemporal Data Model

A conceptual spatiotemporal data model must be able to offer users a semantic richness of expression to meet their diverse needs concerning the modeling of spatio-temporal data. The conceptual spatiotemporal data model must be able to represent the objects, relationships and events that can occur in a field of study, track data history, support the multi-representation of these data, and represent temporal and spatial data with two and three dimensions features. The model must also allow the assignment of different types of constraints to relations and provide a complete orthogonality between dimensions and concepts. The MADS model meets several requirements for the design of spatio-temporal data. Nevertheless, we present in this article an improvement of the spatial concepts of MADS in order to ensure the design of data in 3D.

Volumetric Spatiotemporal Data Model

2007 ◽  
pp. 547-556 ◽  
Author(s):  
Mohd Shafry Mohd Rahim ◽  
Abdul Rashid Mohamed Shariff ◽  
Shattri Mansor ◽  
Ahmad Rodzi Mahmud ◽  
Mohammad Ashari Alias
Keyword(s):  
Data Model ◽  
Spatiotemporal Data ◽  
Spatiotemporal Data Model

Polygon-based bounding volume as a spatiotemporal data model for video content access

2000 ◽  
Author(s):  
Jeongjun Song ◽  
Youngchoon Park ◽  
PanKoo Kim ◽  
KyungSu Kim ◽  
Forouzan Golshani ◽  
...  
Keyword(s):  
Data Model ◽  
Spatiotemporal Data ◽  
Video Content ◽  
Bounding Volume ◽  
Spatiotemporal Data Model
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