Individual Presentation or Panel Title

Statistical Dimension Analysis of Structural Permutations in British Medieval Monastic Properties

Abstract

Stylistic patterns in British medieval monastic structures have been identified in terms of architectural design, period of construction, monastic order, and regional patterns. This project will use quantitative assessment to determine if these patterns represent statistically significant correlations. This analysis and interpretation will strengthen the study of medieval architectural history by allowing other research to identify outliers in style and to investigate archetypes of arrangements that differ by monastic order, region, etc. My project is informed by observation and the study of British monastic buildings as well as knowledge in applied statistical testing and procedure. My method involves compiling architectural dimensions, creating a database, and performing statistical analysis including, but not limited to, Paired t-testing, ANOVA testing, Fisher’s Test, Z-testing, and MAD analysis. I expect the statistical analysis will reflect the stylistic patterns that describe British medieval structures. However, any outliers that may be identified through my research will help inform the current vernacular of architectural history and lead to further opportunities for research. Furthermore, this kind of study, which applies statistical analysis to visual stylistic themes, will provide an example for more advanced investigation.

Presenter Information

Rory Keeley, Hollins University

Location

Goodwin Private Dining Room

Start Date

30-4-2016 3:30 PM

End Date

30-4-2016 4:20 PM

Keywords

medieval architecture, architecture, statistics, middle ages, medieval, monasticism, monastery, cathedral, abbey, Great Britain, British

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Apr 30th, 3:30 PM Apr 30th, 4:20 PM

Statistical Dimension Analysis of Structural Permutations in British Medieval Monastic Properties

Goodwin Private Dining Room

Stylistic patterns in British medieval monastic structures have been identified in terms of architectural design, period of construction, monastic order, and regional patterns. This project will use quantitative assessment to determine if these patterns represent statistically significant correlations. This analysis and interpretation will strengthen the study of medieval architectural history by allowing other research to identify outliers in style and to investigate archetypes of arrangements that differ by monastic order, region, etc. My project is informed by observation and the study of British monastic buildings as well as knowledge in applied statistical testing and procedure. My method involves compiling architectural dimensions, creating a database, and performing statistical analysis including, but not limited to, Paired t-testing, ANOVA testing, Fisher’s Test, Z-testing, and MAD analysis. I expect the statistical analysis will reflect the stylistic patterns that describe British medieval structures. However, any outliers that may be identified through my research will help inform the current vernacular of architectural history and lead to further opportunities for research. Furthermore, this kind of study, which applies statistical analysis to visual stylistic themes, will provide an example for more advanced investigation.