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subdivision and within a quarter-quarter section were grouped <br />together into one large parcel. ~he locally maintained road <br />network was also not digitized, but rather, included in the <br />acreage of adjacent parcels. ~his reduced the total ntm~er of <br />parcels to about 2,900. <br /> <br />An immediate data output of the digitized parcel base map was <br />acreage measurements. ~he acreage measurements allowed compu- <br />tation of such things as land value per acre, taxes per acre, <br />or aggregated acreages by existing land use type. ~he digi- <br />tized parcel base map also allowed mapping of any of the data <br />in the parcel file <br /> <br />IDeally Maintained Roads <br /> <br />~he center lines of the existing and proposed locally main- <br />tained raod network were also digitized by LMIC. A file of <br />parcels within about fifty feet of each center line, and the <br />length of the frontage on each road was developed by LMIC by <br />computer overlay of the road map on the parcel map. Codes <br />were also added to the parcel file indicating whether the <br />road was paved, gravel or proposed, and whether it was eligi- <br />ble for state-aid maintenance or construction funding. <br /> <br />Population and.H, o usi n~_.ilni.ts <br /> <br />~he allocation of population and housing units to parcels had <br />several steps. First, the parcel addresses were address- <br />matched to the Council's 1980 geographic base file (GBF), <br />.which yielded the census block number in which the parcel was <br />located. ~he parcel file with census block identifiers was <br />analyzed along with the census files using several SAS pro- <br />grams. Estimating the distribution of housing units was done <br />first, based on the assessor's data for residential uses, fac- <br />toring in unit counts for multi-family and mobile homes, and <br />using tract statistics as oontrol-totals. Next, the <br />population distribution was estimated and corrected using <br />block statistics as control totals. <br /> <br />Nearly 29 percent of the City's operating expenditures is for <br />police protection; therefore, the distribution of police calls <br />was a very important data need. Fortunately, the City had <br />relatively good information on police calls by geographic <br />area. Statistics on calls for the several major shopping cen- <br />ters, mobile home parks and schools were individually <br />recorded. For the remainder of the community, calls were re- <br />corder on a quarter-section grid. A statistical analysis sys- <br />tem (SAS) program was written and used to allocate calls to <br />parcels based on attributes such as housing units or <br />valuation, and using the quarter-section call totals as con- <br />trols. <br /> <br /> <br />