Integrating FME and ESRI's Local Government Model

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INTEGRATING FME & ESRI’S LOCAL GOVERNMENT MODEL Zachary A. Gilbert GIS Division Manager Nathan Holman GIS Analyst Gardner Mayo GIS Technical Coordinator

Transcript of Integrating FME and ESRI's Local Government Model

Page 1: Integrating FME and ESRI's Local Government Model

INTEGRATING FME & ESRI’S LOCAL GOVERNMENT MODELZachary A. Gilbert

GIS Division Manager

Nathan HolmanGIS Analyst

Gardner MayoGIS Technical Coordinator

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Clayton County

Clayton County Georgia:

Land Area: 142 sq. milesPopulation: 259,424*Active Tax Parcels: 89,032

*2010 United States Census Bureau

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WHAT IS LGM?

Local Government Model (LGM):

Database schema (10.1-10.3)

Download

Focused pre-configured JavaScript maps and apps

Gallery

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KEY BENEFITS OF LGM

Easy deployment

Greater leverage of existent GIS technologies and data

Improved efficiency in government operations

Enhanced citizen services

Bottom Line: $

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HOW DOES FME FIT IN?

Multiple data source r/w access

Data clean up

Who doesn’t have to do this?!

Automation

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CASE STUDY: CLAYTON COUNTY

Tax Parcel Information

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CASE STUDY: CLAYTON COUNTY

Goals

Updated web application every Monday AM

CAMA data (Tax Parcel Information)

Tax Parcel geometry changes

Tax Parcel Fabric (Active, Sales, Centroids)

Encumbrances

Simultaneous conveyances (subdivision, apts, condo,etc)

Archive snap shot of CAMA data

Updated SDE and other dependent databases

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CAMA

FME

Python

Archive

OS

ArcGISServer

SDE

WWW

AS400

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CASE STUDY: CLAYTON COUNTY

Automation: Python and FME

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CAMA

FME

Python

Archive

OS

ArcGISServer

SDE

WWW

AS400

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Thank You!

Questions?

For more information:

Zachary A. Gilbert

[email protected]

Clayton County Community Development

GIS Division