•  
  •  
 

Abstract or Description

In this study I examine the spatial distribution of high value and new residences on the shoreline of East Pond and North Pond. To do so, I analyzed property tax data in ArcGIS, between lakes and within lakes, to determine whether there was spatial clustering of the following shoreline property characteristics: property values, price/meter2 of land, and house age. The results identify six potential areas between the two lakes with significantly higher property values, land values, or house ages. If these variables are effective proxies for household income and resident age, then the identified areas may be good locations for local lake associations to target stakeholder engagement projects.

About the Author

Sophie is a double major in economics and environmental studies with a policy concentration.

Rights

In Copyright

Share

COinS
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.