Spatiotemporal social (STS) data model: correlating social networks and spatiotemporal data

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Sonia Khetarpaul ◽  
S. K. Gupta ◽  
L. Venkata Subramaniam
Keyword(s):  
Social Networks ◽  
Data Model ◽  
Spatiotemporal Data

MapTap and Cornelia Slow Digital Art History and Formal Art Historical Social Network Research

2016 ◽  
Vol 79 (3) ◽  
pp. 315-330 ◽  
Author(s):  
Koenraad Brosens ◽  
Klara Alen ◽  
Astrid Slegten ◽  
Fred Truyen
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Early Modern ◽  
Data Model ◽  
Art History ◽  
Digital Art ◽  
Unique Data ◽  
Network Research ◽  
Custom Made

Abstract The essay introduces MapTap, a research project that zooms in on the ever-changing social networks underpinning Flemish tapestry (1620 – 1720). MapTap develops the young and still slightly amorphous field of Formal Art Historical Social Network Research (FAHSNR) and is fueled by Cornelia, a custom-made database. Cornelia’s unique data model allows researchers to organize attribution and relational data from a wide array of sources in such a way that the complex multiplex and multimode networks emerging from the data can be transformed into partial unimode networks that enable proper FAHSNR. A case study revealing the key roles played by women in the tapestry landscape shows how this kind of slow digital art history can further our understanding of early modern creative communities and industries.

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 Construction of multi-scale grid for massive land survey data

2020 ◽  
Vol 206 ◽  
pp. 03018
Author(s):  
Jia Zhang ◽  
Xiulian Wang ◽  
Xiaotong Zhang ◽  
Xiaofei Bai ◽  
Qiang Chen
Keyword(s):  
Information Integration ◽  
Data Model ◽  
Spatiotemporal Data ◽  
Distributed Data ◽  
Data Organization ◽  
Vector Data ◽  
Grid Data ◽  
Geospatial Information ◽  
Multi Scale ◽  
Scale Grid

In the face of ever-growing and complex massive multi-source spatiotemporal data, the traditional vector data model is increasingly difficult to meet the needs of efficient data organization, management, calculation and analysis. Based on the simple and widely used geographic grid data organization model, this paper designs a technical method to convert vector data into multi-scale grid data, establishes a unified, standardized and seamless land spatial grid data model, and analyses the area accuracy of multi-scale grid data. Practice shows that the model can better meet the needs of multi-scale geospatial information integration and analysis, and it is easy to carry out distributed data processing, which provides technical support for the efficient organization, fusion and analysis of spatiotemporal data.

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.

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.

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