1. Green Space and its Affects on Bellingham Home Prices

2.  In concert with Dr. Julia Hansen I will be conducting a preliminary study to determine whether or not the location of a Bellingham home in respect to green space has any affect on its value.

3.  Is there a correlation between the price of a home and its location to a simple recreation area?  What variables need to be taken into account so that a meaningful result may be realized?

4.  Statistical significance of a price differential is the main objective of my analysis  A graphical representation of pricing differentials (possible 3D representation)

5.  Sales data must be cleaned up and processed  Green Space must be identified and represented  Geocoding and the necessity of a specially tailored shape file  Neighborhood designation to assist in determining comps. Note - - King Mountain

6.  ArcMap and ArcCatalog along with specific statistical functions of excel will be instrumental in meaningful analysis  The nature of the data and analysis should not afford any undue difficulty in finding data

7.  Currently I have some rough data in need of processing  I have no Green Space data  I do, however have guidelines and open avenues available to aid in speedy data collection

8.  Is encouraged and welcomed from anyone willing/forced to give it (e.g. get Jen’s home number)  Should not be a necessity given the nature of the project and its linearity

9.  Process sales data  Create Green Space shape file  Conduct GIS and statistical analysis  Create graphical display detailing findings  Given time:  incorporate more variables in an effort to improve statistical significance  Research and compose a literature review in preparation for a more complete study.  Open to suggestions