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Section 5: Proposed Scope & Techniques 12 1) Technical Tasks Develop Specifications and Pilot Implementation The conversion process will begin with preliminary meetings, collection of all data from the city and development of a Specifications Document. This document will include feature attribute specification, database design criteria, domains, layering schema, symbology, and annotation characteristics. Once the conversion specification and attribute schema is submitted in draft form it will be tested using 4 map sheets to be selected by the City. The conversion effort will cover a full implementation of the specifications, including development or adjustment of programs, macros, symbol library, and screen menus. The pilot will proceed through quality assurance and City acceptance and conclude with a final digital submittal and computer demonstration of the system. Pilot deliverables will include: 1) specifications document 2) hard copy plots at 100 scale, 3) digital data in both AutoCAD Map and ArcView formats, 4) QA Report of line work, symbology and database tables, 5) ArcView project including prototype themes City-Wide Conversion The conversion process will proceed through 6 steps: 1) Data Collection 2) Digitizing feature geometry 3) Construct topology and geometry QA 4) Populate feature attribute tables 5) Database and final QA 6) Generate annotation feature sub-classes (Optional) Data Collection - Electroliers Street Lights will be collected using a combination of the following methods: 1) Capture from the City's digital orthophotography 2) Digitize from existing atlas sheet maps 3) Field data collection using laptop computers and GPS technology During the pilot, we will check each method, particularly to test the validity of each method. The City has expressed concern about the accuracy of the existing street light maps and therefore, these will likely only be employed as a reference only. The city also has digital orthophotography with sufficient resolution (0.9 feet) to capture a significant number of street light poles. Traditionally, this will enable us to digitize about 50% of the total inventory. Field data collection, particularly with the aide ofGPS technology is the most consuming but also the most verifiable method available therefore, we propose to canvas every street in the city to ensure 100% coverage of all street lights in the system. GPS will be employed wherever possible however, we will include laptop computers and traditional mapping techniques in the event that GPS reception is poor. All street lights within the City right of way network and on city-owned property will be captured. This will include: 1) Street lights on PG&E poles, 2) Street lights on traffic control devices, 3) Street lights along typical streets 4) Street lights in parks, school parking lots and other city-owned facilities Lynx Technologies City of Redwood City Street Lighting GIS Project