SlideShare a Scribd company logo
1 of 17
Parcel Fabric and the Local
Government Model
September 2016
WV EPAN Conference
Topics to Cover
1. Introduction
2. What is Parcel Fabric?
3. Migrating to Parcel Fabric
4. Advantages of using Parcel Fabric
5. Local Government Information Model
What is Parcel Fabric ?
 Land Records Management System to maintain
parcels and store associated information.
 Sets a standard model that can be used across all land
records organizations.
 Part of the ESRI Local Government Information Model.
The WV Factor
 Recent conversions in Cabell and Monongalia
Counties, both of approximately 50,000
parcels.
– Biggest Challenge of Parcel Fabric for WV is road
Right-of-Ways and curves!
Data Migration
 Process lines to meet geometry requirements of the
Parcel Fabric.
 Validate Parcel Fabric required topology rules.
 Stage your data for migration.
 Check results to correct parcels that may fail to load.
Data Migration
 Process lines using ESRI Curves and Lines
tools.
– Convert mutli part curves to 2 point curves.
– Convert lines string curves to true curves.
– Reduce unnecessary vertices in line segments.
Data Migration
 Topology Rules for Migration
– Line Features must be covered by polygons
– Lines must not self-overlap
– Lines must not self intersect
– Lines must be single part
– Lines must not intersect or touch interior
– Polygons must be covered by lines
Data Migration
 Staging data for load to Parcel Fabric
– Give special consideration to attributes you want to
bring into the Parcel Fabric.
– Migration of attributes is much easier when you
match portions of your staging schema to that of the
Parcel Fabric.
– However, avoid matching the schema exactly as
this can cause problems with the load process.
Data Migration
 Check your results
– Some parcels WILL fail to load even with zero
topology errors. Pay attention to load results and
perform joins to ensure a complete migration.
– Use Check Fabric tool to run ESRI checks on the
parcel fabric to identify possible errors.
Advantages of Parcel Fabric
 Polygons and Lines work together in a connected
environment with built in topology. *To some extent
 Maintain an interactive history of change.
 Store original survey dimensions and geometry.
 ESRI supported tools, workflows, and applications.
 Use of control points and adjustments to improve
accuracy.
Advantages of Parcel Fabric
 Built in topology in Parcel Fabric
– Polygons and lines work and move as one.
– Built in topology is not perfect. Consideration should
be given to run an outside model checking for
additional topology and geometry QC on a regular
basis.
Advantages of Parcel Fabric
 Maintain History
– Best method to date for maintaining an archival and
interactive history layer.
– Not only archives changes such as splits and
combinations but also archives the legal date the
change went into effect, date the change was made
to the GIS, and the user who made the change.
– Can view history chronologically
Advantages of Parcel Fabric
 Store original survey information as entered
from the legal document.
– Survey dimensions are stored even if a line must be
altered to fit surrounding area.
– Can “go back” to original geometry by un-joining
and re-joining the parcel.
Advantages of Parcel Fabric
 ESRI supported tools and workflows and apps.
– Tools for and processes specifically designed for to
work within the parcel fabric.
 Parcel Editor
 Parcel Details
 Parcel Expolorer
 Parcel Workflows
– ESRI web map and application templates designed
around the LGIM and Parcel Fabric
Advantages of Parcel Fabric
 Control and Adjustments
– Can better incorporate control points such as NGS
monuments or other x,y locations and relate
locations to parcel corners.
– Control can also be established from high
confidence corners existing in data.
– Once control is established Least Squared
Adjustments can be ran on those related parcels.
Local Government Information
Model
 Database model designed to work across all matters of
local government GIS related operations.
 Standardized database that can work for everyone.
 Works with a growing number of ESRI web services
and applications.
 Makes it easier to share data across your organization
and others.
Question and Answer
 Contact Me
– Tre Penegar
– 910-256-9892
– tpenegar@atlasgeodata.com

More Related Content

Viewers also liked

Animation in arc_map_tutorial
Animation in arc_map_tutorialAnimation in arc_map_tutorial
Animation in arc_map_tutorial
Rumanshu Katiyar
 
Cartoons and animations in the 1930s
Cartoons and animations in the 1930sCartoons and animations in the 1930s
Cartoons and animations in the 1930s
kameronseth18
 
GIS Data Models Explained
GIS Data Models ExplainedGIS Data Models Explained
GIS Data Models Explained
Nicole Ceranek
 
StevesDWESlide_exported
StevesDWESlide_exportedStevesDWESlide_exported
StevesDWESlide_exported
Steve Snow
 
Spatial vs non spatial
Spatial vs non spatialSpatial vs non spatial
Spatial vs non spatial
Sumant Diwakar
 

Viewers also liked (13)

Esri Location Analytics for Business Intelligence
Esri Location Analytics for Business IntelligenceEsri Location Analytics for Business Intelligence
Esri Location Analytics for Business Intelligence
 
KliqMap for Esri: Actionable Location Analytics
KliqMap for Esri: Actionable Location AnalyticsKliqMap for Esri: Actionable Location Analytics
KliqMap for Esri: Actionable Location Analytics
 
Animation in arc_map_tutorial
Animation in arc_map_tutorialAnimation in arc_map_tutorial
Animation in arc_map_tutorial
 
Geocoding in arc_gis_tutorial
Geocoding in arc_gis_tutorialGeocoding in arc_gis_tutorial
Geocoding in arc_gis_tutorial
 
Cartoons and animations in the 1930s
Cartoons and animations in the 1930sCartoons and animations in the 1930s
Cartoons and animations in the 1930s
 
GIS Data Models Explained
GIS Data Models ExplainedGIS Data Models Explained
GIS Data Models Explained
 
Network Mapping - Esri UK Annual Conference 2016
Network Mapping - Esri UK Annual Conference 2016Network Mapping - Esri UK Annual Conference 2016
Network Mapping - Esri UK Annual Conference 2016
 
Getting to Know ArcGIS Pro
Getting to Know ArcGIS ProGetting to Know ArcGIS Pro
Getting to Know ArcGIS Pro
 
StevesDWESlide_exported
StevesDWESlide_exportedStevesDWESlide_exported
StevesDWESlide_exported
 
Telling Stories with Maps - Esri UK Annual Conference 2016ac
Telling Stories with Maps - Esri UK Annual Conference 2016acTelling Stories with Maps - Esri UK Annual Conference 2016ac
Telling Stories with Maps - Esri UK Annual Conference 2016ac
 
Spatial vs non spatial
Spatial vs non spatialSpatial vs non spatial
Spatial vs non spatial
 
GIS Data Types
GIS Data TypesGIS Data Types
GIS Data Types
 
GIS presentation
GIS presentationGIS presentation
GIS presentation
 

Similar to Implementation of Parcel Fabric in West Virginia

ME Article_ 5 req LAM p38-41 Charboneau paper (4pp)
ME Article_ 5 req LAM p38-41 Charboneau paper (4pp)ME Article_ 5 req LAM p38-41 Charboneau paper (4pp)
ME Article_ 5 req LAM p38-41 Charboneau paper (4pp)
James (Jim) Charboneau
 
FME Data Transformation for the Geographic Support System Initiative
FME Data Transformation for the Geographic Support System InitiativeFME Data Transformation for the Geographic Support System Initiative
FME Data Transformation for the Geographic Support System Initiative
Safe Software
 
Spatialware_2_Sql08
Spatialware_2_Sql08Spatialware_2_Sql08
Spatialware_2_Sql08
Mike Osbourn
 
Informatica perf points
Informatica perf pointsInformatica perf points
Informatica perf points
ocporacledba
 

Similar to Implementation of Parcel Fabric in West Virginia (20)

2019 Esri International User Conference, Engineering Summit
2019 Esri International User Conference, Engineering Summit2019 Esri International User Conference, Engineering Summit
2019 Esri International User Conference, Engineering Summit
 
ME Article_ 5 req LAM p38-41 Charboneau paper (4pp)
ME Article_ 5 req LAM p38-41 Charboneau paper (4pp)ME Article_ 5 req LAM p38-41 Charboneau paper (4pp)
ME Article_ 5 req LAM p38-41 Charboneau paper (4pp)
 
FME Data Transformation for the Geographic Support System Initiative
FME Data Transformation for the Geographic Support System InitiativeFME Data Transformation for the Geographic Support System Initiative
FME Data Transformation for the Geographic Support System Initiative
 
Spatialware_2_Sql08
Spatialware_2_Sql08Spatialware_2_Sql08
Spatialware_2_Sql08
 
How to digitize penstocks leading to powerhouse of a hydropower plant from th...
How to digitize penstocks leading to powerhouse of a hydropower plant from th...How to digitize penstocks leading to powerhouse of a hydropower plant from th...
How to digitize penstocks leading to powerhouse of a hydropower plant from th...
 
Transport for London - London's Operations Digital Twin
Transport for London - London's Operations Digital TwinTransport for London - London's Operations Digital Twin
Transport for London - London's Operations Digital Twin
 
Configurable Monitoring For Multi-Domain Networks
Configurable Monitoring For Multi-Domain NetworksConfigurable Monitoring For Multi-Domain Networks
Configurable Monitoring For Multi-Domain Networks
 
Informatica perf points
Informatica perf pointsInformatica perf points
Informatica perf points
 
Informatica perf points
Informatica perf pointsInformatica perf points
Informatica perf points
 
Space-Based Architecture
Space-Based ArchitectureSpace-Based Architecture
Space-Based Architecture
 
Optimizing Geospatial Operations with Server-side Programming in HBase and Ac...
Optimizing Geospatial Operations with Server-side Programming in HBase and Ac...Optimizing Geospatial Operations with Server-side Programming in HBase and Ac...
Optimizing Geospatial Operations with Server-side Programming in HBase and Ac...
 
Data mining
Data miningData mining
Data mining
 
IRJET- Location based Management of Profile
IRJET- Location based Management of ProfileIRJET- Location based Management of Profile
IRJET- Location based Management of Profile
 
IRJET- Profile Management System
IRJET- Profile Management SystemIRJET- Profile Management System
IRJET- Profile Management System
 
Traffic Simulator
Traffic SimulatorTraffic Simulator
Traffic Simulator
 
ArcGIS10 Land Records Mgmt (EPAN 2010)
ArcGIS10 Land Records Mgmt (EPAN 2010)ArcGIS10 Land Records Mgmt (EPAN 2010)
ArcGIS10 Land Records Mgmt (EPAN 2010)
 
Utilities Industry Success Stories with FME
Utilities Industry Success Stories with FME Utilities Industry Success Stories with FME
Utilities Industry Success Stories with FME
 
Design of Production and Service Systems - Facilities
Design of Production and Service Systems - FacilitiesDesign of Production and Service Systems - Facilities
Design of Production and Service Systems - Facilities
 
A Low-Cost IoT Application for the Urban Traffic of Vehicles, Based on Wirele...
A Low-Cost IoT Application for the Urban Traffic of Vehicles, Based on Wirele...A Low-Cost IoT Application for the Urban Traffic of Vehicles, Based on Wirele...
A Low-Cost IoT Application for the Urban Traffic of Vehicles, Based on Wirele...
 
2017 PLSC Track: Using a Standard Version of ArcMap with External VRS Recieve...
2017 PLSC Track: Using a Standard Version of ArcMap with External VRS Recieve...2017 PLSC Track: Using a Standard Version of ArcMap with External VRS Recieve...
2017 PLSC Track: Using a Standard Version of ArcMap with External VRS Recieve...
 

More from WV Assocation of Geospatial Professionals

More from WV Assocation of Geospatial Professionals (20)

Flood Risk Review (FRR) Meeting - Upper Monongahela Watershed
Flood Risk Review (FRR) Meeting - Upper Monongahela WatershedFlood Risk Review (FRR) Meeting - Upper Monongahela Watershed
Flood Risk Review (FRR) Meeting - Upper Monongahela Watershed
 
Conservation Innovation - Tools and Trends in GIS
Conservation Innovation - Tools and Trends in GISConservation Innovation - Tools and Trends in GIS
Conservation Innovation - Tools and Trends in GIS
 
High Accuracy Data Collection with Esri's Collector App
High Accuracy Data Collection with Esri's Collector AppHigh Accuracy Data Collection with Esri's Collector App
High Accuracy Data Collection with Esri's Collector App
 
Integrating Survey Data into a GIS
Integrating Survey Data into a GISIntegrating Survey Data into a GIS
Integrating Survey Data into a GIS
 
Proceedings for 2016 WV EPAN GIS Users Group Meeting
Proceedings for 2016 WV EPAN GIS Users Group MeetingProceedings for 2016 WV EPAN GIS Users Group Meeting
Proceedings for 2016 WV EPAN GIS Users Group Meeting
 
Evaluating Riparian Buffers of WV Landowners in Chesapeake Bay Drainage
Evaluating Riparian Buffers of WV Landowners in Chesapeake Bay Drainage Evaluating Riparian Buffers of WV Landowners in Chesapeake Bay Drainage
Evaluating Riparian Buffers of WV Landowners in Chesapeake Bay Drainage
 
2016 Agenda for WV EPAN Users Group Meeting
2016 Agenda for WV EPAN Users Group Meeting2016 Agenda for WV EPAN Users Group Meeting
2016 Agenda for WV EPAN Users Group Meeting
 
WV Local GIS Data Contributions to State/Federal Datasets
WV Local GIS Data Contributions to State/Federal DatasetsWV Local GIS Data Contributions to State/Federal Datasets
WV Local GIS Data Contributions to State/Federal Datasets
 
Agenda EPAN 2015
Agenda EPAN 2015Agenda EPAN 2015
Agenda EPAN 2015
 
Transitioning Applications to the Web App Builder
Transitioning Applications to the Web App BuilderTransitioning Applications to the Web App Builder
Transitioning Applications to the Web App Builder
 
Stormwater and GIS
Stormwater and GISStormwater and GIS
Stormwater and GIS
 
Pictometry Imagery for West Virginia
Pictometry Imagery for West VirginiaPictometry Imagery for West Virginia
Pictometry Imagery for West Virginia
 
Device Locational Accuracy
Device Locational AccuracyDevice Locational Accuracy
Device Locational Accuracy
 
WV Statewide Addressing and Mapping Update (SAMS-II)
WV Statewide Addressing and Mapping Update (SAMS-II)WV Statewide Addressing and Mapping Update (SAMS-II)
WV Statewide Addressing and Mapping Update (SAMS-II)
 
Agenda for WVAGP 2015 Annual Meeting
Agenda for WVAGP 2015 Annual MeetingAgenda for WVAGP 2015 Annual Meeting
Agenda for WVAGP 2015 Annual Meeting
 
WV 3D Elevation Program (3DEP) / BAA Overview
WV 3D Elevation Program (3DEP) / BAA OverviewWV 3D Elevation Program (3DEP) / BAA Overview
WV 3D Elevation Program (3DEP) / BAA Overview
 
WV National Hydrography Dataset (NHD) Update
WV National Hydrography Dataset (NHD) UpdateWV National Hydrography Dataset (NHD) Update
WV National Hydrography Dataset (NHD) Update
 
Three Rivers Quest (WV Water Research Institute)
Three Rivers Quest (WV Water Research Institute)Three Rivers Quest (WV Water Research Institute)
Three Rivers Quest (WV Water Research Institute)
 
Geospatial Initiatives: A National Perspective
 Geospatial Initiatives: A National Perspective Geospatial Initiatives: A National Perspective
Geospatial Initiatives: A National Perspective
 
2013 WV Epan GIS Users Group Meeting Agenda
2013 WV Epan GIS Users Group Meeting Agenda2013 WV Epan GIS Users Group Meeting Agenda
2013 WV Epan GIS Users Group Meeting Agenda
 

Recently uploaded

Chiulli_Aurora_Oman_Raffaele_Beowulf.pptx
Chiulli_Aurora_Oman_Raffaele_Beowulf.pptxChiulli_Aurora_Oman_Raffaele_Beowulf.pptx
Chiulli_Aurora_Oman_Raffaele_Beowulf.pptx
raffaeleoman
 
Bring back lost lover in USA, Canada ,Uk ,Australia ,London Lost Love Spell C...
Bring back lost lover in USA, Canada ,Uk ,Australia ,London Lost Love Spell C...Bring back lost lover in USA, Canada ,Uk ,Australia ,London Lost Love Spell C...
Bring back lost lover in USA, Canada ,Uk ,Australia ,London Lost Love Spell C...
amilabibi1
 
If this Giant Must Walk: A Manifesto for a New Nigeria
If this Giant Must Walk: A Manifesto for a New NigeriaIf this Giant Must Walk: A Manifesto for a New Nigeria
If this Giant Must Walk: A Manifesto for a New Nigeria
Kayode Fayemi
 
Uncommon Grace The Autobiography of Isaac Folorunso
Uncommon Grace The Autobiography of Isaac FolorunsoUncommon Grace The Autobiography of Isaac Folorunso
Uncommon Grace The Autobiography of Isaac Folorunso
Kayode Fayemi
 

Recently uploaded (18)

Causes of poverty in France presentation.pptx
Causes of poverty in France presentation.pptxCauses of poverty in France presentation.pptx
Causes of poverty in France presentation.pptx
 
The workplace ecosystem of the future 24.4.2024 Fabritius_share ii.pdf
The workplace ecosystem of the future 24.4.2024 Fabritius_share ii.pdfThe workplace ecosystem of the future 24.4.2024 Fabritius_share ii.pdf
The workplace ecosystem of the future 24.4.2024 Fabritius_share ii.pdf
 
Chiulli_Aurora_Oman_Raffaele_Beowulf.pptx
Chiulli_Aurora_Oman_Raffaele_Beowulf.pptxChiulli_Aurora_Oman_Raffaele_Beowulf.pptx
Chiulli_Aurora_Oman_Raffaele_Beowulf.pptx
 
lONG QUESTION ANSWER PAKISTAN STUDIES10.
lONG QUESTION ANSWER PAKISTAN STUDIES10.lONG QUESTION ANSWER PAKISTAN STUDIES10.
lONG QUESTION ANSWER PAKISTAN STUDIES10.
 
Bring back lost lover in USA, Canada ,Uk ,Australia ,London Lost Love Spell C...
Bring back lost lover in USA, Canada ,Uk ,Australia ,London Lost Love Spell C...Bring back lost lover in USA, Canada ,Uk ,Australia ,London Lost Love Spell C...
Bring back lost lover in USA, Canada ,Uk ,Australia ,London Lost Love Spell C...
 
Aesthetic Colaba Mumbai Cst Call girls 📞 7738631006 Grant road Call Girls ❤️-...
Aesthetic Colaba Mumbai Cst Call girls 📞 7738631006 Grant road Call Girls ❤️-...Aesthetic Colaba Mumbai Cst Call girls 📞 7738631006 Grant road Call Girls ❤️-...
Aesthetic Colaba Mumbai Cst Call girls 📞 7738631006 Grant road Call Girls ❤️-...
 
Report Writing Webinar Training
Report Writing Webinar TrainingReport Writing Webinar Training
Report Writing Webinar Training
 
My Presentation "In Your Hands" by Halle Bailey
My Presentation "In Your Hands" by Halle BaileyMy Presentation "In Your Hands" by Halle Bailey
My Presentation "In Your Hands" by Halle Bailey
 
Dreaming Music Video Treatment _ Project & Portfolio III
Dreaming Music Video Treatment _ Project & Portfolio IIIDreaming Music Video Treatment _ Project & Portfolio III
Dreaming Music Video Treatment _ Project & Portfolio III
 
AWS Data Engineer Associate (DEA-C01) Exam Dumps 2024.pdf
AWS Data Engineer Associate (DEA-C01) Exam Dumps 2024.pdfAWS Data Engineer Associate (DEA-C01) Exam Dumps 2024.pdf
AWS Data Engineer Associate (DEA-C01) Exam Dumps 2024.pdf
 
ICT role in 21st century education and it's challenges.pdf
ICT role in 21st century education and it's challenges.pdfICT role in 21st century education and it's challenges.pdf
ICT role in 21st century education and it's challenges.pdf
 
Digital collaboration with Microsoft 365 as extension of Drupal
Digital collaboration with Microsoft 365 as extension of DrupalDigital collaboration with Microsoft 365 as extension of Drupal
Digital collaboration with Microsoft 365 as extension of Drupal
 
Sector 62, Noida Call girls :8448380779 Noida Escorts | 100% verified
Sector 62, Noida Call girls :8448380779 Noida Escorts | 100% verifiedSector 62, Noida Call girls :8448380779 Noida Escorts | 100% verified
Sector 62, Noida Call girls :8448380779 Noida Escorts | 100% verified
 
If this Giant Must Walk: A Manifesto for a New Nigeria
If this Giant Must Walk: A Manifesto for a New NigeriaIf this Giant Must Walk: A Manifesto for a New Nigeria
If this Giant Must Walk: A Manifesto for a New Nigeria
 
Thirunelveli call girls Tamil escorts 7877702510
Thirunelveli call girls Tamil escorts 7877702510Thirunelveli call girls Tamil escorts 7877702510
Thirunelveli call girls Tamil escorts 7877702510
 
Uncommon Grace The Autobiography of Isaac Folorunso
Uncommon Grace The Autobiography of Isaac FolorunsoUncommon Grace The Autobiography of Isaac Folorunso
Uncommon Grace The Autobiography of Isaac Folorunso
 
Busty Desi⚡Call Girls in Sector 51 Noida Escorts >༒8448380779 Escort Service-...
Busty Desi⚡Call Girls in Sector 51 Noida Escorts >༒8448380779 Escort Service-...Busty Desi⚡Call Girls in Sector 51 Noida Escorts >༒8448380779 Escort Service-...
Busty Desi⚡Call Girls in Sector 51 Noida Escorts >༒8448380779 Escort Service-...
 
Dreaming Marissa Sánchez Music Video Treatment
Dreaming Marissa Sánchez Music Video TreatmentDreaming Marissa Sánchez Music Video Treatment
Dreaming Marissa Sánchez Music Video Treatment
 

Implementation of Parcel Fabric in West Virginia

  • 1. Parcel Fabric and the Local Government Model September 2016 WV EPAN Conference
  • 2. Topics to Cover 1. Introduction 2. What is Parcel Fabric? 3. Migrating to Parcel Fabric 4. Advantages of using Parcel Fabric 5. Local Government Information Model
  • 3. What is Parcel Fabric ?  Land Records Management System to maintain parcels and store associated information.  Sets a standard model that can be used across all land records organizations.  Part of the ESRI Local Government Information Model.
  • 4. The WV Factor  Recent conversions in Cabell and Monongalia Counties, both of approximately 50,000 parcels. – Biggest Challenge of Parcel Fabric for WV is road Right-of-Ways and curves!
  • 5. Data Migration  Process lines to meet geometry requirements of the Parcel Fabric.  Validate Parcel Fabric required topology rules.  Stage your data for migration.  Check results to correct parcels that may fail to load.
  • 6. Data Migration  Process lines using ESRI Curves and Lines tools. – Convert mutli part curves to 2 point curves. – Convert lines string curves to true curves. – Reduce unnecessary vertices in line segments.
  • 7. Data Migration  Topology Rules for Migration – Line Features must be covered by polygons – Lines must not self-overlap – Lines must not self intersect – Lines must be single part – Lines must not intersect or touch interior – Polygons must be covered by lines
  • 8. Data Migration  Staging data for load to Parcel Fabric – Give special consideration to attributes you want to bring into the Parcel Fabric. – Migration of attributes is much easier when you match portions of your staging schema to that of the Parcel Fabric. – However, avoid matching the schema exactly as this can cause problems with the load process.
  • 9. Data Migration  Check your results – Some parcels WILL fail to load even with zero topology errors. Pay attention to load results and perform joins to ensure a complete migration. – Use Check Fabric tool to run ESRI checks on the parcel fabric to identify possible errors.
  • 10. Advantages of Parcel Fabric  Polygons and Lines work together in a connected environment with built in topology. *To some extent  Maintain an interactive history of change.  Store original survey dimensions and geometry.  ESRI supported tools, workflows, and applications.  Use of control points and adjustments to improve accuracy.
  • 11. Advantages of Parcel Fabric  Built in topology in Parcel Fabric – Polygons and lines work and move as one. – Built in topology is not perfect. Consideration should be given to run an outside model checking for additional topology and geometry QC on a regular basis.
  • 12. Advantages of Parcel Fabric  Maintain History – Best method to date for maintaining an archival and interactive history layer. – Not only archives changes such as splits and combinations but also archives the legal date the change went into effect, date the change was made to the GIS, and the user who made the change. – Can view history chronologically
  • 13. Advantages of Parcel Fabric  Store original survey information as entered from the legal document. – Survey dimensions are stored even if a line must be altered to fit surrounding area. – Can “go back” to original geometry by un-joining and re-joining the parcel.
  • 14. Advantages of Parcel Fabric  ESRI supported tools and workflows and apps. – Tools for and processes specifically designed for to work within the parcel fabric.  Parcel Editor  Parcel Details  Parcel Expolorer  Parcel Workflows – ESRI web map and application templates designed around the LGIM and Parcel Fabric
  • 15. Advantages of Parcel Fabric  Control and Adjustments – Can better incorporate control points such as NGS monuments or other x,y locations and relate locations to parcel corners. – Control can also be established from high confidence corners existing in data. – Once control is established Least Squared Adjustments can be ran on those related parcels.
  • 16. Local Government Information Model  Database model designed to work across all matters of local government GIS related operations.  Standardized database that can work for everyone.  Works with a growing number of ESRI web services and applications.  Makes it easier to share data across your organization and others.
  • 17. Question and Answer  Contact Me – Tre Penegar – 910-256-9892 – tpenegar@atlasgeodata.com