Data visualization and analysis within a Hydrologic Information System: Integrating with the R statistical computing environment

This paper presents a prototype software system for visualization and analysis of hydrologic data that provides interoperability between the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) Hydrologic Information System (HIS) and the R statistical computing environ...

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Vydáno v:Environmental modelling & software : with environment data news Ročník 52; s. 51 - 61
Hlavní autoři: Horsburgh, Jeffery S., Reeder, Stephanie L.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford Elsevier Ltd 01.02.2014
Elsevier
Témata:
Animal, plant and microbial ecology
Biological and medical sciences
computer software
CUAHSI HIS
Data analysis
Data management
engineers
environmental models
Fundamental and applied biological sciences. Psychology
General aspects. Techniques
hydrologic data
Hydrologic observations
information management
Methods and techniques (sampling, tagging, trapping, modelling...)
rivers
scientists
total suspended solids
turbidity
universities
user interface
Hydrologic observations
Data analysis
R
Data management
CUAHSI HIS
Statistical method
Visualization
Environment
ISSN:1364-8152
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Abstract This paper presents a prototype software system for visualization and analysis of hydrologic data that provides interoperability between the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) Hydrologic Information System (HIS) and the R statistical computing environment. By linking these two systems within a single desktop software application, an integrated hydrologic data management and analysis environment has been created that simplifies the process used by scientists and engineers to find, access, organize, and analyze the hydrologic data needed in modeling and managing hydrologic and environmental systems. The implementation of this work is a software plug-in for the CUAHSI HIS HydroDesktop software system called HydroR. We describe the design, graphical user interface, and implementation of the HydroR plug-in. An example application of HydroR is presented in which total suspended solids concentrations are modeled for the Little Bear River using a regression developed from turbidity and total suspended solids observations downloaded from the CUAHSI HIS using HydroDesktop. Finally, we conclude with a summary of our experience in developing interoperability between HIS and R and suggest future developments that can extend the capabilities we have developed. •We developed a software system that integrates the CUAHSI HIS and R.•HydroR combines data discovery and management with analysis and visualization in a single software environment.•HydroR reduces effort required to access data and transfer it into an analysis environment.•HydroR promotes repeatable analyses and may reduce potential errors.
AbstractList This paper presents a prototype software system for visualization and analysis of hydrologic data that provides interoperability between the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) Hydrologic Information System (HIS) and the R statistical computing environment. By linking these two systems within a single desktop software application, an integrated hydrologic data management and analysis environment has been created that simplifies the process used by scientists and engineers to find, access, organize, and analyze the hydrologic data needed in modeling and managing hydrologic and environmental systems. The implementation of this work is a software plug-in for the CUAHSI HIS HydroDesktop software system called HydroR. We describe the design, graphical user interface, and implementation of the HydroR plug-in. An example application of HydroR is presented in which total suspended solids concentrations are modeled for the Little Bear River using a regression developed from turbidity and total suspended solids observations downloaded from the CUAHSI HIS using HydroDesktop. Finally, we conclude with a summary of our experience in developing interoperability between HIS and R and suggest future developments that can extend the capabilities we have developed. •We developed a software system that integrates the CUAHSI HIS and R.•HydroR combines data discovery and management with analysis and visualization in a single software environment.•HydroR reduces effort required to access data and transfer it into an analysis environment.•HydroR promotes repeatable analyses and may reduce potential errors.
This paper presents a prototype software system for visualization and analysis of hydrologic data that provides interoperability between the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) Hydrologic Information System (HIS) and the R statistical computing environment. By linking these two systems within a single desktop software application, an integrated hydrologic data management and analysis environment has been created that simplifies the process used by scientists and engineers to find, access, organize, and analyze the hydrologic data needed in modeling and managing hydrologic and environmental systems. The implementation of this work is a software plug-in for the CUAHSI HIS HydroDesktop software system called HydroR. We describe the design, graphical user interface, and implementation of the HydroR plug-in. An example application of HydroR is presented in which total suspended solids concentrations are modeled for the Little Bear River using a regression developed from turbidity and total suspended solids observations downloaded from the CUAHSI HIS using HydroDesktop. Finally, we conclude with a summary of our experience in developing interoperability between HIS and R and suggest future developments that can extend the capabilities we have developed.
Author Horsburgh, Jeffery S.
Reeder, Stephanie L.
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Keywords Hydrologic observations
Data analysis
R
Data management
CUAHSI HIS
Statistical method
Visualization
Environment
Language English
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Snippet This paper presents a prototype software system for visualization and analysis of hydrologic data that provides interoperability between the Consortium of...
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SubjectTerms Animal, plant and microbial ecology
Biological and medical sciences
computer software
CUAHSI HIS
Data analysis
Data management
engineers
environmental models
Fundamental and applied biological sciences. Psychology
General aspects. Techniques
hydrologic data
Hydrologic observations
information management
Methods and techniques (sampling, tagging, trapping, modelling...)
rivers
scientists
total suspended solids
turbidity
universities
user interface
Title Data visualization and analysis within a Hydrologic Information System: Integrating with the R statistical computing environment
URI https://dx.doi.org/10.1016/j.envsoft.2013.10.016
https://www.proquest.com/docview/2000135285
Volume 52
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