A Distributed Spatial-temporal Data Model and Online Analyst System for Marine Environmental Research— The GSC Best Practice Data Computing Environment 2018

2018 ◽  
Vol 2 (3) ◽  
pp. 279-289
Author(s):  
Zhang F ◽  
Bai Y
Keyword(s):  
Data Model ◽  
Best Practice ◽  
Environmental Research ◽  
Temporal Data ◽  
Computing Environment ◽  
Marine Environmental

Study of the Spatio-Temporal Data Model in Sea Battlefield

2012 ◽  
Vol 246-247 ◽  
pp. 744-748
Author(s):  
Yue Lin Sun ◽  
Lei Bao ◽  
Yi Hang Peng
Keyword(s):  
Data Model ◽  
Object Oriented ◽  
Space Time ◽  
Comprehensive Analysis ◽  
Temporal Data ◽  
Data Types ◽  
Spatio Temporal ◽  
The Right ◽  
Effective Analysis

An effective analysis of the battlefield situation and spatio-temporal data model in a sea battlefield has great significance for the commander to perceive the battlefield situation and to make the right decisions. Based on the existing spatio-temporal data model, the present paper gives a comprehensive analysis of the characteristics of sea battlefield data, and chooses the object-oriented spatio-temporal data model to modify it; at the same time this paper introduces sea battlefield space-time algebra system to define various data types formally, which lays the foundation for the establishment of the sea battlefield spatio-temporal data model.

scholarly journals RESEARCH ON CONSTRUCTION METHOD OF SPATIO-TEMPORAL DATA MODEL BASED ON BEHAVIOR-EVENT

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 591-594
Author(s):  
J. W. Li ◽  
Y. Ma ◽  
J. W. Jiang ◽  
W. D. Chen ◽  
N. Yu ◽  
...  
Keyword(s):  
Data Model ◽  
Logical Structure ◽  
Physical Structure ◽  
Temporal Data ◽  
Model Based ◽  
Time Space ◽  
Before And After ◽  
Spatio Temporal ◽  
Temporal Objects ◽  
Organic Combination

Abstract. Starting from the object-oriented idea, this paper analyses the existing event-based models and the logical relationship between behavioral cognition and events, and discusses the continuity of behavioral cognition on the time axis from the perspective of temporal and spatial cognition. A geospatial data model based on behavioral-event is proposed. The physical structure and logical structure of the model are mainly designed, and the four-dimensional model of “time, space, attribute and event” is constructed on the axis. The organic combination of the four models can well describe the internal mechanism and rules of geographical objects. The expression of data model based on behavior-event not only elaborates the basic information of geospatial objects, but also records the changes of related events caused by the changes of geographic Entities' behavior, and expresses the relationship between spatial and temporal objects before and after the changes of behavior cognition. This paper also designs an effective method to organize spatio-temporal data, so as to realize the effective management and analysis of spatio-temporal data and meet the requirements of storage, processing and mining of large spatio-temporal data.

EUFAR: the European Facility for Airborne Research

2021 ◽  
Author(s):  
Philip Brown ◽  
Elisabeth Gerard
Keyword(s):  
Best Practice ◽  
Early Career ◽  
Environmental Research ◽  
Non Profit ◽  
Airborne Measurements ◽  
Legal Structure ◽  
Data Processing Software ◽  
Expert Working Group ◽  
Research Aircraft ◽  
Training Courses

<p>Since its creation in 2000, the European Facility for Airborne Research, EUFAR, evolved into the central network for the airborne research community in Europe. From the beginning until 2018, EUFAR has received funding within the different Framework Programmes of the European Commission. In January 2018, EUFAR became an AISBL (international non-profit association under Belgian law) establishing EUFAR as an independent legal structure and ensuring EUFAR’s future.</p><p>Via EUFAR Transnational Access, a range of aircraft and instrumentation has been made available to European researchers who do not have access to a suitable research infrastructure in their home country. This has provided both a comprehensive range of atmospheric in-situ measurements together with a variety of remote-sensing instruments and hyperspectral imagers for studies of land or water surfaces, vegetation etc. Examples of successful TA activities will be shown. In order that researchers should continue in future to have access to the most appropriate research aircraft and instrumentation to meet their science objectives independently of EC funding, EUFAR is now working to develop principles of Open Access (OA).</p><p>EUFAR supports Expert Working Group meetings to exchange knowledge and promote best practice across the range of activities involved in airborne research. These cover, for example, instrument developments, data processing software and the scientific uses of airborne data. Via its previous EC funding, EUFAR has been able to support training courses for early-career researchers to introduce them to the use of airborne measurements for environmental research. Where possible, new software tools resulting from these activities are provided openly via the EUFAR website. EUFAR also promotes access to its members' data from airborne platforms and instruments and will be working with the AERIS data centre in France to provide a data portal to assist with this. </p><p>This presentation will give an overview of EUFAR, its recent achievements and future plans.</p>

A Semantic-based Spatio-temporal Data Model for Internet of Things

2013 ◽  
Vol 8 (6) ◽  
pp. 1159-1168
Author(s):  
Lingyun Yuan ◽  
Xingchao Wang ◽  
Jianhou Gan
Keyword(s):  
Internet Of Things ◽  
Data Model ◽  
Temporal Data ◽  
Spatio Temporal

3SST Model

2010 ◽  
pp. 1-14
Author(s):  
Andreea Sabau
Keyword(s):  
Data Model ◽  
Conceptual Modeling ◽  
Domain Model ◽  
Relational Model ◽  
Temporal Data ◽  
Spatio Temporal ◽  
Entity Relationship ◽  
Temporal Objects ◽  
Database Platform ◽  
Event Based

In order to represent spatio-temporal data, many conceptual models have been designed and a part of them have been implemented. This chapter describes an approach of the conceptual modeling of spatio-temporal data, called 3SST. Also, the spatio-temporal conceptual and relational data models obtained by following the proposed phases are presented. The 3SST data model is obtained by following three steps: the construction of an entity-relationship spatio-temporal model, the specification of the domain model and the design of a class diagram which includes the objects characteristic to a spatiotemporal application and other needed elements. The relational model of the 3SST conceptual model is the implementation of the conceptual 3SST data model on a relational database platform. Both models are characterized by generality in representing spatial, temporal and spatio-temporal data. The spatial objects can be represented as points or objects with shape and the evolution of the spatio-temporal objects can be implemented as discrete or continuous in time, on time instants or time intervals. More than that, different types of spatial, temporal, spatio-temporal and event-based queries can be performed on represented data. Therefore, the proposed 3SST relational model can be considered the core of a spatio-temporal data model.

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