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TEIS Process Overview

Summary of steps. Available Scripts/Tools. Plan Project and request BAPID. TEI Guidelines for developing a project plan. TEI Mapping and Data Capture Standards & Contractor Pkge. Complete TEI mapping project and capture data . TEIS Process Overview . CompareFields CompareFieldsnoAlias.

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TEIS Process Overview

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  1. Summary of steps Available Scripts/Tools Plan Project and request BAPID TEI Guidelines for developing a project plan TEI Mapping and Data Capture Standards & Contractor Pkge Complete TEI mapping project and capture data TEIS Process Overview CompareFields CompareFieldsnoAlias Load data to Contractor Package .gdb templates Create TEISID StandardizeNoData ValidateGeometry ValidateDomains ValidateRange CreateErrorSummary Quality control the data Validate Data Submit ‘clean’ data in gdb to MoE TEIS Data Submission Tool(website) Optional: Index data Create Short Table and Project Boundaries FCs CreateIndexes CreateShortTable CreateProjectBoundaries

  2. Steps Python Scripts/Tools Capture spatial data using your ‘usual’ tools and procedures • Loading new data to the .gdb Long Table FC Populate a polygon attribute table using your ‘usual’ tools and procedures (e.g. Excel) Project Details Table Populate a project details table using your ‘usual’ tools (e.g. Excel) TEIS Contractor Package contains: Long Table Template Project Details Template in the Operational.gdb Load all the above to the Long Table and Project Details templates in the .gdb Go to QC steps

  3. Steps Python Scripts/Tools Import coverage to a blank .gdb • To import an existing coverage to the .gdb: Set tolerance to 0.001 Compare the imported fields to the current TEIS templates CompareFields or CompareFieldsnoAlias Fix Fields as necessary (e.g. create new fields to match Template Field name, data type, field length, etc. and recalculate values) Fix fields that should be blank (no data) but contain ‘0’ zeros StandardizeNoData (also run later with QA tools) Data is now in the TEIS standard .gdb Go to QC steps

  4. Steps Python Scripts/Tools Create a unique identifier for each Long Table record Create a unique identifier for each Long Table record CreateTEISID StandardizeNoData • TEIS Quality Control Procedures: Check Geometry (of Long Table) Check Geometry (of Long Table) ValidateGeometry Error Checking Check for valid attributes (codes) Check for valid attributes (codes) (check domains and ranges) ValidateDomains ValidateRows ValidateData Create a summary of errors for each record in Long Table CreateErrorSummary Using the TEIS_ID (= Feature ID in error reports) Link the error reports and/or error summary table to Long Table, and work through fixing the invalid codes, etc. Repeat this QC procedure until data is clean. Submit .gdb to MoE and/or do additional (optional) processing TEIS Data Submission Website

  5. Steps Python Scripts/Tools Index the data (v. large datasets) CreateIndexes • Additional (optional) steps • Note: If amalgamating multiple project datasets into one set of feature classes, re-create unique TEIS_ID’s first, then index the data and rerun QC routines and optional routines • Note: CreateProjectBoundary requires an ArcInfo Licence level to run. Summarize Long Table data to create label fields and pull out key attributes (e.g. for plotting or manual/visual review) CreateShortTable Optional steps Create a project boundary FC with project details CreateProjectBoundary

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