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.


In Copyright



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