Question: Q4. Define the inverse distance weighting method? Compute the weighted mean using inverse distance weighting method for the single family housing problem. Provide an interpretation

 Q4. Define the inverse distance weighting method? Compute the weighted meanusing inverse distance weighting method for the single family housing problem. Provide

an interpretation of the weighted mean of property price (lecture 5, slide12, and write in about 77~80 words): The notations are defined as

Q4. Define the inverse distance weighting method? Compute the weighted mean using inverse distance weighting method for the single family housing problem. Provide an interpretation of the weighted mean of property price (lecture 5, slide 12, and write in about 77~80 words): The notations are defined as follows j= location of property dij= is the distance (00' yards) between neighboring property and the property whose value is unknown zi= value of property ('000 $) wij= is the inverse distance weight (1/d) zjwij= product of inverse distance and property value ----- o 9 =1 0 4 j dij zj zjwi j 3 1 4.404 142 , 2 9.599 431 o 1 unknown 3 10.408 125 0 6 4 10.871 341 8 5 12.953 251 ' 5 2 5 13.959 245 7 7 14.055 332 Location of SFH property 8 15.506 344 9 17.255 285 Sum Weighted Average Q1. Define the term GIS. What is the use of GIS in real estate? Also, define the term Geocoding and what are the problems faced in Geocoding analysis (watch videos on week4, read chapter/see ppt, write in about 250300 words)? [5 pts.] Q2. What is the difference between map overlay and multicriteria decision analysis (MCDA)? Elaborate the steps to perform a MCDA analysis (watch video, see book chapter and pdf posted on module, write in about 250-300 words)? [5 pts.] Q3. Define and differentiate between Euclidean and Manhattan distances. Calculate the Euclidean distance and Manhattan distance for the following problem. The coordinates in figure 1 for(x1,y1) and (362,312) are (3, 5) and (6, 9) respectively (see lecture 5. Write in about 100150 words). (132, 312) 92111 (1171591) 132*331

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