Ce diaporama a bien été signalé.
Le téléchargement de votre SlideShare est en cours. ×

Integrating CAD and GIS with Spatial ETL

Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Prochain SlideShare
Gtechnology / GElectric
Gtechnology / GElectric
Chargement dans…3
×

Consultez-les par la suite

1 sur 20 Publicité

Plus De Contenu Connexe

Les utilisateurs ont également aimé (20)

Publicité

Similaire à Integrating CAD and GIS with Spatial ETL (20)

Publicité

Plus récents (20)

Integrating CAD and GIS with Spatial ETL

  1. 1. Integrating CAD and GIS with Spatial ETL
  2. 2. Overview  What is Spatial ETL?  Quick look at two CAD-GIS Case Studies  CAD-GIS Common Themes
  3. 3. What is Spatial ETL? Extract Transform Load 3
  4. 4. Why Spatial ETL?  Significant proliferation of different spatial data formats and types – Hundreds of formats, with more added each year – Multiple types of data stored in multiple systems – Unique data model requirements for each application  Traditional approaches to data translation and data model manipulation are not viable – Complex, inefficient and time-consuming  Increasing pressure for access to spatial data – More users, beyond traditional GIS users – Expectations of real-time custom data views, 24x7 4
  5. 5. Format Proliferation
  6. 6. Data Convergence ranslate from one format to another ransform into the data model you need ntegrate different data types at once eliver data to users in the structure & format
  7. 7. Transformation is Key  CAD <->GIS needs transformation  Need ability to change data model 7
  8. 8. Spatial ETL Safe Overview 8
  9. 9. #1 Use of Spatial ETL CAD GIS 9
  10. 10. Case Study: Enstar Natural Gas Company  Organization – Provides natural gas service to 340,000 customers in Alaska  Problem – Migrating large volumes of AutoCAD drawings to GIS-based mapping system in very short timeframe  Solution – Read and extract information from “group” entities in AutoCAD files and load them into a geodatabase – Perform file mapping and geo-referencing to leverage key semantic and context information from drawings  Results – Information in CAD files no longer inaccessible – Time savings through a repeatable data conversion framework 10
  11. 11. Case Study: Gulf Power  Organization – Provides electricity to 372,000 customers in Florida.  Problem – Moving CAD data into seamless database. Stitching of tiles and resolving quality issues in an automated approach where possible.  Solution – Resolved gaps in lines. Joined linework together. – Mapped CAD entities to new GIS entities – Used Proximity to associate annotation with linear features.  Results – Fast and accurate data translation – Detailed translation statistics reported as files are processed and moved to the new system 11
  12. 12. CAD <-> GIS Common Themes  CAD and GIS represent information differently – The representation must be changed to effectively move data from one environment to another CAD GIS 12
  13. 13. CAD <-> GIS Common Themes  CAD Annotation <-> GIS Attributes – Must be able to move this between the systems. – Use Proximity to associate annotation with features – Often there is no explicit link in the CAD data. CAD GIS 13
  14. 14. CAD <-> GIS Common Themes Quality Assurance – What are the issues with the existing data that are going to cause problems in new system? 14
  15. 15. CAD <-> GIS Common Themes Quality Assurance – Automated data cleanup is often possible. Before - GAP After – GAP Removed 15
  16. 16. CAD <-> GIS Common Themes Quality Assurance – Automated data cleanup not always possible. 2 Internal Points 0 Internal Points 16
  17. 17. CAD<->GIS Common Themes  Connectivity Cleanup – Build connectivity for linear networks representing water, gas, etc. Before After 17
  18. 18. CAD<->GIS Common Themes  Deciphering layer codes, colors, linestyles, etc. – E.g. 2 lane paved roads are on layer 4, color red, solid line of thickness 3. 18
  19. 19. Summary  GIS and CAD data represent information differently  To effectively communicate data must be restructured to fit the tool being used  Spatial ETL is all about restructuring the data to fit the tool and user consuming the data 19
  20. 20. Thanks  If you would like more information please stop by our booth at the show or  Contact me at dcm@safe.com 20

×