scholarly journals Enviromental data visualisation using Delaunay triangulation

2020 ◽  
Vol 17 ◽  
pp. 405-411
Author(s):  
Mateusz Nowosad
Keyword(s):  
Comparative Analysis ◽  
Delaunay Triangulation ◽  
Data Representation ◽  
Environmental Data ◽  
Data Visualisation ◽  
Graphical Data

Graphical data representation is very helpful when analyzing environmental data. It allows for discovering trends in data and analysis of phenomena occurring in the area. There are many possibilities to represent such values graphically. This article contains visualizations generated using Delauney triangulation to represent data on a map. Strengths and weaknesses, comparative analysis with another solution, performance, and usage suggestions will be presented.

SEDRIS Transmittal Storing and Retrieval System using Relational Databases

2014 ◽  
Vol 25 (4) ◽  
pp. 38-65
Author(s):  
Yongkwon Kim ◽  
Heejung Yang ◽  
Chin-Wan Chung
Keyword(s):  
Complex Systems ◽  
Relational Database ◽  
Relational Databases ◽  
Data Representation ◽  
Environmental Data ◽  
Natural Phenomena ◽  
Type Conversion ◽  
Weather System ◽  
Relational Database System ◽  
Efficient Management

Modeling and simulation (M&S) are widely used for design, analysis, and optimization of complex systems and natural phenomena in various areas such as the defense industry and the weather system. In many cases, the environment is a key part of complex systems and natural phenomena. It includes physical aspects of the real world which provide the context for a specific simulation. Recently, several simulation systems are integrated to work together when they have needs for exchanging information. Interoperability of heterogeneous simulations depends heavily on sharing complex environmental data in a consistent and complete manner. SEDRIS (Synthetic Environmental Data Representation and Interchange Specification) is an ISO standard for representation and interchange of environmental data and widely adopted in M&S area. As the size of the simulation increases, the size of the environmental data which should be exchanged between simulations increases. Therefore, an efficient management of the environmental data is very important. In this paper, the authors propose storing and retrieval methods of SEDRIS transmittals using a relational database system in order to be able to retrieve data efficiently in the environmental data server cooperating with many heterogeneous distributed simulations. By analyzing the structure and the content of SEDRIS transmittals, relational database schemas are designed. To reduce query processing time of SEDRIS transmittals, direct storing and retrieval methods which do not require the type conversion of SEDRIS transmittals are proposed. Experimental analyses are conducted to show the efficiency of the proposed approach. The results confirm that the proposed approach greatly reduces the storing time and retrieval time compared to comparison approaches.

scholarly journals Smart Environmental Data Infrastructures: Bridging the Gap between Earth Sciences and Citizens

2020 ◽  
Vol 10 (3) ◽  
pp. 856 ◽  
Author(s):  
José R. R. Viqueira ◽  
Sebastián Villarroya ◽  
David Mera ◽  
José A. Taboada
Keyword(s):  
Scientific Community ◽  
Earth Science ◽  
Scientific Information ◽  
Open Data ◽  
Data Access ◽  
Data Representation ◽  
Environmental Data ◽  
Science Data ◽  
Data Infrastructures ◽  
Earth Science Data

The monitoring and forecasting of environmental conditions is a task to which much effort and resources are devoted by the scientific community and relevant authorities. Representative examples arise in meteorology, oceanography, and environmental engineering. As a consequence, high volumes of data are generated, which include data generated by earth observation systems and different kinds of models. Specific data models, formats, vocabularies and data access infrastructures have been developed and are currently being used by the scientific community. Due to this, discovering, accessing and analyzing environmental datasets requires very specific skills, which is an important barrier for their reuse in many other application domains. This paper reviews earth science data representation and access standards and technologies, and identifies the main challenges to overcome in order to enable their integration in semantic open data infrastructures. This would allow non-scientific information technology practitioners to devise new end-user solutions for citizen problems in new application domains.

scholarly journals WIZUALIZACJA JAKO NARZĘDZIE WSPOMAGAJĄCE ANALIZĘ DANYCH W PROCESIE DYDAKTYCZNYM

2021 ◽  
Vol 21 (4) ◽  
pp. 224-234
Author(s):  
Monika Zielińska-Sitkiewicz ◽  
Mariola Chrzanowska
Keyword(s):  
Teaching Experience ◽  
Graphical Form ◽  
Data Visualisation ◽  
Data Presentation ◽  
Graphical Data ◽  
Great Support ◽  
Incorrect Data

Presentation of information in a graphical form is one of the basic forms of data presentation. It is a great support during both the preliminary and further analysis. However, an incorrect graphical form can lead to misinterpretation and, in consequence, to erroneous conclusions. This paper presents some examples of graphical data visualisation that come from authors’ teaching experience. The article includes cases of both correct and incorrect data presentation.

Graphical Data Representation Methods To Assess the Quality of LC Columns

2015 ◽  
Vol 87 (17) ◽  
pp. 8593-8602 ◽  
Author(s):  
Gert Desmet ◽  
Deirdre Cabooter ◽  
Ken Broeckhoven
Keyword(s):  
Data Representation ◽  
Graphical Data
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