Integrating CAD and GIS with
         Spatial ETL
Overview
   What is Spatial ETL?

   Quick look at two CAD-GIS Case Studies

   CAD-GIS Common Themes
What is Spatial ETL?




Extract   Transform        Load


                       3
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
Format Proliferation
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
Transformation is Key
   CAD <->GIS needs transformation

   Need ability to change data model




                                        7
Spatial ETL




              Safe Overview 8
#1 Use of Spatial ETL



  CAD               GIS

                        9
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
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
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
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
CAD <-> GIS
Common Themes
Quality Assurance
  –   What are the issues with the existing data that are going
      to cause problems in new system?




                                                14
CAD <-> GIS
Common Themes
Quality Assurance
  –   Automated data cleanup is often possible.




      Before - GAP
                            After – GAP Removed




                                                  15
CAD <-> GIS
Common Themes
Quality Assurance
  –   Automated data cleanup not always possible.



                                  2 Internal Points




                                        0 Internal Points




                                                 16
CAD<->GIS
    Common Themes
   Connectivity Cleanup
     –   Build connectivity for linear networks
         representing water, gas, etc.

         Before


                                                  After




                                           17
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
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
Thanks
   If you would like more information please
    stop by our booth at the show or



   Contact me at dcm@safe.com




                                   20

Integrating CAD and GIS with Spatial ETL

  • 1.
    Integrating CAD andGIS with Spatial ETL
  • 2.
    Overview  What is Spatial ETL?  Quick look at two CAD-GIS Case Studies  CAD-GIS Common Themes
  • 3.
    What is SpatialETL? Extract Transform Load 3
  • 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.
  • 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.
    Transformation is Key  CAD <->GIS needs transformation  Need ability to change data model 7
  • 8.
    Spatial ETL Safe Overview 8
  • 9.
    #1 Use ofSpatial ETL CAD GIS 9
  • 10.
    Case Study: EnstarNatural 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.
    Case Study: GulfPower  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.
    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.
    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.
    CAD <-> GIS CommonThemes Quality Assurance – What are the issues with the existing data that are going to cause problems in new system? 14
  • 15.
    CAD <-> GIS CommonThemes Quality Assurance – Automated data cleanup is often possible. Before - GAP After – GAP Removed 15
  • 16.
    CAD <-> GIS CommonThemes Quality Assurance – Automated data cleanup not always possible. 2 Internal Points 0 Internal Points 16
  • 17.
    CAD<->GIS Common Themes  Connectivity Cleanup – Build connectivity for linear networks representing water, gas, etc. Before After 17
  • 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.
    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.
    Thanks  If you would like more information please stop by our booth at the show or  Contact me at dcm@safe.com 20