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Item B: Update on Commercial/Industrial/Residential Land Studies
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Item B: Update on Commercial/Industrial/Residential Land Studies
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6/9/2010 1:17:00 PM
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1/11/2007 11:54:14 AM
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City Council
City_Council_Document_Type
Agenda Item Summary
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1/17/2007
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<br />The data identified a oming from existing internal databases are of low <br />cost and high value to th roject. These data were generally obtained as exported <br />tables from the Regional and Information Database (RLID) or Assessment and <br />Taxation (A&T) databas . <br /> <br />The data identified a oming from existing external databases include data <br />from the State of Oregomployment Department and other potential sources <br />including EWEB. Info ion that may come from existing external databases <br />include "onsite services.' he T AC decided to not include any of these variables <br />due to a range of issues ated to the data. <br /> <br />Both the internal an xternal databases are electronic compilations of data in <br />formats that can be readi imported. The main distinction we are making is that <br />the internal data comes m LCOG (internal in the sense that LCOG has already <br />compiled it and vetted it t a certain degree. for Lane County), while the external <br />data could come from ot r agencies or even private sources. . <br /> <br />The data identified a oming from GIS analysis range from low-medium to <br />high cost and are genera 1 of high value to the project. Data coming by way of <br />GIS analysis required co bining several existing GIS datasets using spatial <br />analysis methods to pro e new datasets. The distinction here is that we had to <br />do some processing (GI nalysis) of internal or external data to create derived <br />data. For example, data dressing a development consideration like wetlands was <br />intersected with tax-lot ygon data with wetland polygon data to produce tables <br />identifying which lots cain wetland constraints, the size of the constraint, the <br />percentage of the lot co s rained, etc. Data addressing proximity questions was <br />calculated using distanc eriving methods that relate tax-lot polygon data to <br />transportation corridors. <br /> <br />The data identified a oming from field observation will require either field <br />verification or possibly i photo interpretation. The T AC decided to skip the two <br />field observation data v abIes. <br /> <br />Table 2-1 summariz the requested data characteristics, their sources, and <br />whether they were inclu d in the database system. <br /> <br />Commercial and Industrial Lands Database <br /> <br />ECONorthwest <br /> <br />September 2006 <br /> <br />Page 10 <br />
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