Drivers of community attachment: an interactive analysis

  • Jessica M. OrthEmail author
Original paper


In this research, we will investigate several different approaches and methods to displaying multivariate data. Emphasis will be placed on end-user-customization tools and flexibility in dynamic and interactive displays. Specifically, we will highlight the use of motion charts using Markus Gesmann’s googleVis package in R. We will demonstrate the visualization of time-series data and also the results of multidimensional scaling and principal component analysis using this tool. The goals of these displays are ease of usability and interpretation, dynamic customization options, and the ability to display multivariate data in a meaningful way. In addition we will explore partial least squares path modeling using data collected from the Knight Foundation and Gallup during the years 2008–2010 to illustrate the attachment of people to their communities in a new and innovative way.


Dynamic graphics Interactive visualizations Multivariate statistical analysis 



The author greatly appreciates the generous comments and suggestions of two anonymous reviewers on the first version of this article.


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Statistics and Actuarial ScienceThe University of IowaIowa CityUSA

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