Enhancing engineering data analysis using microcomputer graphics

Russell Thompson, William Young

Research output: Contribution to journalReview ArticleResearchpeer-review

Abstract

The correct analysis of engineering data is crucial for the understanding of the subtleties of any engineering system. Incorrect analysis could result in errors and the misallocation of scarce resources. Appropriate analysis requires that the engineer has a good understanding of the character of the data. Statistical techniques that hide the structure of the data may result in the engineer arriving at the wrong conclusions. Recent developments in the statistical procedures along with computer graphics technology provide the environment and mechanism for obtaining this understanding. This paper reviews some graphical methods that aid in the understanding and presentation of engineering data. Emphasis is given to the interactions between the graphics procedures and statistical methods, and the analysis environment created by combining exploratory data analysis and statistical tests. The graphics methods are illustrated with reference to data on vehicle speed, origin-destination, average daily traffic flows, and parking lot performance. The associated statistical procedures are descriptive statistics, hypothesis testing, distribution fitting, and relationship determination.

Original languageEnglish
Pages (from-to)161-171
Number of pages11
JournalMicrocomputers in Civil Engineering
Volume2
Issue number2
DOIs
Publication statusPublished - 1 Jan 1987

Cite this

@article{0412714093734f35adace4b42e932cc0,
title = "Enhancing engineering data analysis using microcomputer graphics",
abstract = "The correct analysis of engineering data is crucial for the understanding of the subtleties of any engineering system. Incorrect analysis could result in errors and the misallocation of scarce resources. Appropriate analysis requires that the engineer has a good understanding of the character of the data. Statistical techniques that hide the structure of the data may result in the engineer arriving at the wrong conclusions. Recent developments in the statistical procedures along with computer graphics technology provide the environment and mechanism for obtaining this understanding. This paper reviews some graphical methods that aid in the understanding and presentation of engineering data. Emphasis is given to the interactions between the graphics procedures and statistical methods, and the analysis environment created by combining exploratory data analysis and statistical tests. The graphics methods are illustrated with reference to data on vehicle speed, origin-destination, average daily traffic flows, and parking lot performance. The associated statistical procedures are descriptive statistics, hypothesis testing, distribution fitting, and relationship determination.",
author = "Russell Thompson and William Young",
year = "1987",
month = "1",
day = "1",
doi = "10.1111/j.1467-8667.1987.tb00141.x",
language = "English",
volume = "2",
pages = "161--171",
journal = "Microcomputers in Civil Engineering",
issn = "0885-9507",
number = "2",

}

Enhancing engineering data analysis using microcomputer graphics. / Thompson, Russell; Young, William.

In: Microcomputers in Civil Engineering, Vol. 2, No. 2, 01.01.1987, p. 161-171.

Research output: Contribution to journalReview ArticleResearchpeer-review

TY - JOUR

T1 - Enhancing engineering data analysis using microcomputer graphics

AU - Thompson, Russell

AU - Young, William

PY - 1987/1/1

Y1 - 1987/1/1

N2 - The correct analysis of engineering data is crucial for the understanding of the subtleties of any engineering system. Incorrect analysis could result in errors and the misallocation of scarce resources. Appropriate analysis requires that the engineer has a good understanding of the character of the data. Statistical techniques that hide the structure of the data may result in the engineer arriving at the wrong conclusions. Recent developments in the statistical procedures along with computer graphics technology provide the environment and mechanism for obtaining this understanding. This paper reviews some graphical methods that aid in the understanding and presentation of engineering data. Emphasis is given to the interactions between the graphics procedures and statistical methods, and the analysis environment created by combining exploratory data analysis and statistical tests. The graphics methods are illustrated with reference to data on vehicle speed, origin-destination, average daily traffic flows, and parking lot performance. The associated statistical procedures are descriptive statistics, hypothesis testing, distribution fitting, and relationship determination.

AB - The correct analysis of engineering data is crucial for the understanding of the subtleties of any engineering system. Incorrect analysis could result in errors and the misallocation of scarce resources. Appropriate analysis requires that the engineer has a good understanding of the character of the data. Statistical techniques that hide the structure of the data may result in the engineer arriving at the wrong conclusions. Recent developments in the statistical procedures along with computer graphics technology provide the environment and mechanism for obtaining this understanding. This paper reviews some graphical methods that aid in the understanding and presentation of engineering data. Emphasis is given to the interactions between the graphics procedures and statistical methods, and the analysis environment created by combining exploratory data analysis and statistical tests. The graphics methods are illustrated with reference to data on vehicle speed, origin-destination, average daily traffic flows, and parking lot performance. The associated statistical procedures are descriptive statistics, hypothesis testing, distribution fitting, and relationship determination.

UR - http://www.scopus.com/inward/record.url?scp=0023364131&partnerID=8YFLogxK

U2 - 10.1111/j.1467-8667.1987.tb00141.x

DO - 10.1111/j.1467-8667.1987.tb00141.x

M3 - Review Article

VL - 2

SP - 161

EP - 171

JO - Microcomputers in Civil Engineering

JF - Microcomputers in Civil Engineering

SN - 0885-9507

IS - 2

ER -