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a. wide variety in the type of housing; <br /> <br />b. lack of sufficient housing to generate enough data. <br /> <br />presence of intervening factors, such as a negative (e.g., <br />industrial), positive (e.g., golf course) or physical barrier <br />(e.g. interstate highway) between the landfill and significant <br />housing sales. <br /> <br />d. ease in data collection. <br /> <br />A similar method is being used to gather data for the Flying Cloud and <br />the Mallard Lake landfills. However, in both cases data cards are <br />available for each individual nearby property. <br /> <br />The procedures are being adjusted to reflect the presence of the cards. <br />They were: <br /> <br />1) Conduct landfill visibility for overall areas. <br /> <br />2) <br /> <br />Use cards for all properties within ½ mile of the site, and <br />100 properties for each ½ mile to 3 miles. Oversampling was <br />done in order to allow for deselection of unusual properties. <br /> <br />3) <br /> <br />Field survey for four variables: verify style and viewroad; <br />identify viewhouse and tree cover. <br /> <br />4) <br /> <br />Exclude any property with unusual characteristics, such as <br />bordering industrial land use. <br /> <br />It is important to note that Flying Cloud and Mallard Lake, although <br />similar in housing characteristics, differ sharply in view characteristics. <br />Mallard Lake is over 75 feet high and very visible; Flying Cloud landfill <br />cannot be seen even from the nearest adjacent properties. <br /> <br />4. Computer Analysis Procedures <br /> <br />Data on each property has been entered into computer files and run on <br />the Statistics Package for the Social Sciences (SPSS) program on the <br />Cyber System at the University of Minnesota Computer Center. A number <br />of different computer runs are being made, including: <br /> <br /> 1. Regression analysis of all data for both price and price/ft2 <br /> of foundation for using zone, quarter-mile zone, and 1/20 <br /> mile intervals as optional distance variables. <br /> <br />Regression analysis of all data for each site up to 2¼ miles <br />only. <br /> <br />18 <br /> <br /> <br />