1. GIS Speaker Series, University of Redlands Redlands, CA, December 5, 2012 – House Purchase Planner - A web-based GIS application assisting house buyers to find a location that fits needs and budget www.houseplanner.info Dr. Carsten Lange Professor of Economics California State University, Pomona CLange@CsuPomona.edu

2. Project Background  Objective  Help perspective home buyers in the early stage of the buying process when they don’t know which type of house in which location they can afford  Study Area  Orange County, CA  Funding  Core Logic, First American  California State University  The Haynes Foundation  Timeline  Project developed: 2008 – 2012  Website: www.houseplanner.infowww.houseplanner.info

12. Outline 1) How to generate the data 2) How to develop the model 3) How to publish the results on the Internet

13. Data Model Transaction Data Price (endogenous) Address Bedrooms Building Square ft Date of Transaction Pool Dummy Foreclosure Status Proximity based Data (generated by the GIS) Distance to closest park from location of sale Driving Time from location of sale to closest beach major mall major park Location Based Data (assigned by the GIS) Avg. household income in Census Block Group at location of sale School quality at location of sale Project Database `

15. 45,916 geocoded locations with transaction data as attributes. Source: First American CoreLogic

16. Source: Core Logic, First American 45,916 geocoded locations with transaction data as attributes. Source: First American CoreLogic

17. Data Model Transaction Data Price (endogenous) Address Bedrooms Building Square ft Date of Transaction Pool Dummy Foreclosure Status Proximity based Data (generated by the GIS) Distance to closest park from location of sale Driving Time from location of sale to closest beach major mall major park Location Based Data (assigned by the GIS) Avg. household income in Census Block Group at location of sale School quality at location of sale Project Database `

18. Source: ESRI

20. Data Model Transaction Data Price (endogenous) Address Bedrooms Building Square ft Date of Transaction Pool Dummy Foreclosure Status Proximity based Data (generated by the GIS) Distance to closest park from location of sale Driving Time from location of sale to closest beach major mall major park Location Based Data (assigned by the GIS) Avg. household income in Census Block Group at location of sale School quality at location of sale Project Database `

22. Outline 1) How to generate the data 2) How to develop the model 3) How to publish the results on the Internet

23. Hedonic Regression Model Hedonic Regression DataRecord with price, Rooms, MinBeach, SchoolQ, MilesPark, … DataRecord with price, Rooms, MinBeach, SchoolQ, MilesPark, … DataRecord with price, Rooms, MinBeach, SchoolQ, MilesPark, … DataRecord with price, Rooms, MinBeach, SchoolQ, MilesPark, … DataRecord with price, Rooms, MinBeach, SchoolQ, MilesPark, … DataRecord with price, Rooms, MinBeach, SchoolQ, MilesPark, … DataRecord with price, Rooms, MinBeach, SchoolQ, MilesPark, … DataRecord with price, Rooms, MinBeach, SchoolQ, MilesPark, … DataRecord with price, Rooms, MinBeach, SchoolQ, MilesPark, … DataRecord with price, Rooms, MinBeach, SchoolQ, MilesPark, … DataRecord with price, Rooms, MinBeach, SchoolQ, MilesPark, …

24. ArcMap provides Regression Tool

25. Regression Coefficients* ( β ’s)

26. *) Note, that the coefficients differ slightly from the ones used for the application, because they are based on a slightly different dataset

27. Outline 1) How to generate the data 2) How to develop the model 3) How to publish the results on the Internet

28. Application Infra-Structure and JavaScript ArcGIS Online ArcGIS Server Application Map Template from ESRI Serves the map Serves the map layer with Provides location information Cal Poly, Pomona, CA Esri, Redlands, CA STP Web Hosting, Redmond, WA

29. .Net Application ArcGIS JavaScript Template ArcGIS Server

30. Your Questions Please Dr. Carsten Lange California State University, Pomona CLange@CsuPomona.edu