際際滷

際際滷Share a Scribd company logo
Getting Spatial With AutoCAD速 Map

Richard E. Chappell
Geospatial Territory Manager
Rick.Chappell@gmail.com
www.richardchappell.com
Objectives


After attending this session, you will be able to:
 Work with AutoCAD Map in multi-user environments
 Understand spatial analysis and some of its uses
 Understand how data is used for spatial analysis
 Create smarter AutoCAD Drawings for data mining
 Perform common types of spatial analysis with AutoCAD Map
Teamwork: Multi-user editing


     Increase your effectiveness by sharing the load
Multi-User Editing  Tiled




        Source Drawings      Current Drawings
Multi-User Editing  Coincident (or segregated)




       Source Drawings         Current Drawings
Multi-User Editing  Other Formats




 Source Drawings and Feature Data   Current Drawings
Multi-User Demo
Spaghetti and Meatballs: Working with
features

        Getting to know the parts and pieces
Raster Data
Raster - Pixellation
Vector Data
Raster Vs. Vector




   A point in a raster system is a single cell, but in a raster system
    is a coordinate (Accuracy depends on the data)
   A line in a raster system is a series of cells  it can falsely imply
    width, but in a vector system is 2 points and the line between
    them
   In a raster system, the accuracy is immediately apparent, while
    in a vector, it can be misleading
Topology




Topology consists of these properties:
 Adjacency
 Connectivity
 Containment
Objects Vs Features

   Objects - AutoCAD drawing elements created and stored in the
    DWG
     Defined by drawing properties  layer, color, etc
     Outside objects can be imported to become objects
   Features - Elements stored outside of the DWG file in database
    or similar file, and are only referenced in the DWG file.
     No stylization properties
     Organized as layers available from the Display Manager
Topologies - Types

Point (or Node) Topology
 Created from AutoCAD points, blocks or text
 A new object table gets created  TPMNODE_topologyname
Lines (or network, link or chain) Topology
 Created from lines, open polylines or arcs
 A new object table gets created  TPMLINK_topologyname
 If you create nodes at the same time, a node object table gets
  created as well
Polygon Topology
 Created from a set of lines, open polylines or arcs that enclose
  an area. It may or may not have a centroid
 A new object table gets created  TPMCNTR_topologyname
 A link tabe is defined, and a node may be defined
Line Topology Demo
Polygon Topology Demo
It's not dumb data: Managing Attributes


        The heart of the matter is information
Object Data

   Data tables stored in the drawing
   AutoCAD Map 3D only
   Tables are automatically created during topology creation
   Tables are created for data imported from other formats, such
    as ESRI Shape files
   Create using ADEDEFDATA
   Add records and attach to object with ADEATTACHDATA
   View or edit the data with ADEEDITDATA
   Only accessible to Map users
   Best if data is relatively static, such as descriptive
    characteristics
External Data

   Outside databases
   Can be connected to drawing objects
   Accessible outside the drawing
   Better for dynamic, changeable data
   Connected to the DWG file through a Universal Data Link
    (UDL) file  named source.UDL
   Generate the UDL file by
     attaching database
     define a link template - MAPDEFINELT
     Generate data links - ADEGENLINK
External Data Demo
Database only  Joins and Calculates

   Add additional attribute data to your GIS features
   Once the join is made, these new attributes can be used for
    labeling, themes, and analysis.
   Types of Joins
     One-to-One Join
     One-to-Many Join
     Left Outer Join
     Inner Join
Calculations  generate new data based on other data
Join and Calculation Demo
Where is it? Spatial Analysis Techniques


                The New Math
Network Analysis  Shortest Path
Network Analysis  Best Route
Network Analysis  Flood trace
Buffer Analysis

                  Buffers can be created from
                  point, line and polygon
                  topologies
                  Generates a new polygon
                  topology
                  Can be a negative number
Network Analysis Demo
Overlay Analysis - Intersection

 Only areas that appear in both the source and overlay topologies are
 in the result topology
Overlay Analysis - Identity

 The result topology includes areas that appear in the source topology
 and areas in the overlay topology that are within the source topology
 boundary.
Overlay Analysis - Clip

 The result topology includes areas that appear in the source topology
 except where they are outside the boundary of the overlay topology.
 The source topology is clipped to the outer boundary of the overlay
 topology.
Overlay Analysis - Union

 Areas that appear in either the source or the overlay topologies are in
 the result topology.
Overlay Analysis - Erase

 The result topology includes areas that appear in the source topology
 except where it is covered by the overlay topology. The area covered
 by the overlay topology is erased from the source topology area.
Overlay Analysis - Paste

 The overlay topology is "pasted" on the source topology. The result
 topology includes the overlay topology and any areas of the source
 topology that extend beyond the boundaries of the overlay topology
Dissolve
Polygon Analysis Demo
Multiple Steps to get complex results
Au 2008   Gs100 1 P Getting Spatial With
Review Questions




Topology is a synonym of topography.
 True
 False
Review Questions



To find who owns the land where a new power pole is being
  installed, I could use a
 Polygon Intersection
 Line Buffer
 Point in Polygon
 Polygon Recode
Review Questions

Which of the following analysis operations can be accomplished
  without using spatial data?
 Buffer
 Overlay
 Calculate
 Intersection
 Clipping
Au 2008   Gs100 1 P Getting Spatial With
Ad

Recommended

Mujungi Davis
Mujungi Davis
Said Mujungi
Datech2014-Session1-Document Representation Refinement for Precise Region Des...
Datech2014-Session1-Document Representation Refinement for Precise Region Des...
IMPACT Centre of Competence
Algorithms for Query Processing and Optimization of Spatial Operations
Algorithms for Query Processing and Optimization of Spatial Operations
Natasha Mandal
Exploiting the query structure for efficient join ordering in SPARQL queries
Exploiting the query structure for efficient join ordering in SPARQL queries
Luiz Henrique Zambom Santana
Remote Sensing: Overlay Analysis
Remote Sensing: Overlay Analysis
Kamlesh Kumar
Dfg & sg ppt (1)
Dfg & sg ppt (1)
shrutishreya14
ML whitepaper v0.2
ML whitepaper v0.2
Nathaniel Shimoni
Join Algorithms in MapReduce
Join Algorithms in MapReduce
Shrihari Rathod
Hadoop MapReduce joins
Hadoop MapReduce joins
Shalish VJ
Network Analysis in ArcGIS
Network Analysis in ArcGIS
John Reiser
K-Means Algorithm Implementation In python
K-Means Algorithm Implementation In python
Afzal Ahmad
Lec5 Pagerank
Lec5 Pagerank
Jeff Hammerbacher
presentation
presentation
jie ren
Text to speech conversation in gujarati
Text to speech conversation in gujarati
Ashvin Nakum
[Seminar] 200508 hyunwook lee
[Seminar] 200508 hyunwook lee
ivaderivader
Spatial
Spatial
sqlserver.co.il
Lecture+12+topology+2013 (3)
Lecture+12+topology+2013 (3)
Mei Chi Lo
Repartition join in mapreduce
Repartition join in mapreduce
Uday Vakalapudi
008 20151221 Return of Frustrating Easy Domain Adaptation
008 20151221 Return of Frustrating Easy Domain Adaptation
Ha Phuong
Geographical information system
Geographical information system
Satya Prakash Dalei
Geolectioxydata
Geolectioxydata
dave west
Vector data model
Vector data model
Naresh Kumar
Big Data and Geospatial with HPCC Systems
Big Data and Geospatial with HPCC Systems
HPCC Systems
Introduction of data structure
Introduction of data structure
eShikshak
Hadoop Mapreduce joins
Hadoop Mapreduce joins
Uday Vakalapudi
Understandung Firebird optimizer, by Dmitry Yemanov (in English)
Understandung Firebird optimizer, by Dmitry Yemanov (in English)
Alexey Kovyazin
Firebird: cost-based optimization and statistics, by Dmitry Yemanov (in English)
Firebird: cost-based optimization and statistics, by Dmitry Yemanov (in English)
Alexey Kovyazin
Network Analysis
Network Analysis
ami_01
Au09 Presentation Ut118 1
Au09 Presentation Ut118 1
Richard Chappell, GISP
犖犖項犖÷厳犖犖犖迦牽犢犖犢犖犖迦犢犖о犖 Linkedin
犖犖項犖÷厳犖犖犖迦牽犢犖犢犖犖迦犢犖о犖 Linkedin
Gore Kittipoom

More Related Content

What's hot (20)

Hadoop MapReduce joins
Hadoop MapReduce joins
Shalish VJ
Network Analysis in ArcGIS
Network Analysis in ArcGIS
John Reiser
K-Means Algorithm Implementation In python
K-Means Algorithm Implementation In python
Afzal Ahmad
Lec5 Pagerank
Lec5 Pagerank
Jeff Hammerbacher
presentation
presentation
jie ren
Text to speech conversation in gujarati
Text to speech conversation in gujarati
Ashvin Nakum
[Seminar] 200508 hyunwook lee
[Seminar] 200508 hyunwook lee
ivaderivader
Spatial
Spatial
sqlserver.co.il
Lecture+12+topology+2013 (3)
Lecture+12+topology+2013 (3)
Mei Chi Lo
Repartition join in mapreduce
Repartition join in mapreduce
Uday Vakalapudi
008 20151221 Return of Frustrating Easy Domain Adaptation
008 20151221 Return of Frustrating Easy Domain Adaptation
Ha Phuong
Geographical information system
Geographical information system
Satya Prakash Dalei
Geolectioxydata
Geolectioxydata
dave west
Vector data model
Vector data model
Naresh Kumar
Big Data and Geospatial with HPCC Systems
Big Data and Geospatial with HPCC Systems
HPCC Systems
Introduction of data structure
Introduction of data structure
eShikshak
Hadoop Mapreduce joins
Hadoop Mapreduce joins
Uday Vakalapudi
Understandung Firebird optimizer, by Dmitry Yemanov (in English)
Understandung Firebird optimizer, by Dmitry Yemanov (in English)
Alexey Kovyazin
Firebird: cost-based optimization and statistics, by Dmitry Yemanov (in English)
Firebird: cost-based optimization and statistics, by Dmitry Yemanov (in English)
Alexey Kovyazin
Network Analysis
Network Analysis
ami_01
Hadoop MapReduce joins
Hadoop MapReduce joins
Shalish VJ
Network Analysis in ArcGIS
Network Analysis in ArcGIS
John Reiser
K-Means Algorithm Implementation In python
K-Means Algorithm Implementation In python
Afzal Ahmad
presentation
presentation
jie ren
Text to speech conversation in gujarati
Text to speech conversation in gujarati
Ashvin Nakum
[Seminar] 200508 hyunwook lee
[Seminar] 200508 hyunwook lee
ivaderivader
Lecture+12+topology+2013 (3)
Lecture+12+topology+2013 (3)
Mei Chi Lo
Repartition join in mapreduce
Repartition join in mapreduce
Uday Vakalapudi
008 20151221 Return of Frustrating Easy Domain Adaptation
008 20151221 Return of Frustrating Easy Domain Adaptation
Ha Phuong
Geographical information system
Geographical information system
Satya Prakash Dalei
Geolectioxydata
Geolectioxydata
dave west
Vector data model
Vector data model
Naresh Kumar
Big Data and Geospatial with HPCC Systems
Big Data and Geospatial with HPCC Systems
HPCC Systems
Introduction of data structure
Introduction of data structure
eShikshak
Hadoop Mapreduce joins
Hadoop Mapreduce joins
Uday Vakalapudi
Understandung Firebird optimizer, by Dmitry Yemanov (in English)
Understandung Firebird optimizer, by Dmitry Yemanov (in English)
Alexey Kovyazin
Firebird: cost-based optimization and statistics, by Dmitry Yemanov (in English)
Firebird: cost-based optimization and statistics, by Dmitry Yemanov (in English)
Alexey Kovyazin
Network Analysis
Network Analysis
ami_01

Viewers also liked (7)

Au09 Presentation Ut118 1
Au09 Presentation Ut118 1
Richard Chappell, GISP
犖犖項犖÷厳犖犖犖迦牽犢犖犢犖犖迦犢犖о犖 Linkedin
犖犖項犖÷厳犖犖犖迦牽犢犖犢犖犖迦犢犖о犖 Linkedin
Gore Kittipoom
Civil 3 d overview general
Civil 3 d overview general
Kushal Patel
Harness The Power Of Auto Cad Map And Esri
Harness The Power Of Auto Cad Map And Esri
Richard Chappell, GISP
Autocad Civil3d for Surveyors (Stringer)
Autocad Civil3d for Surveyors (Stringer)
Jason_Coghlan16
Map Tools in AutoCAD Civil 3D
Map Tools in AutoCAD Civil 3D
Richard Chappell, GISP
Autodesk civil3 d_tutorail
Autodesk civil3 d_tutorail
Kushal Patel
犖犖項犖÷厳犖犖犖迦牽犢犖犢犖犖迦犢犖о犖 Linkedin
犖犖項犖÷厳犖犖犖迦牽犢犖犢犖犖迦犢犖о犖 Linkedin
Gore Kittipoom
Civil 3 d overview general
Civil 3 d overview general
Kushal Patel
Harness The Power Of Auto Cad Map And Esri
Harness The Power Of Auto Cad Map And Esri
Richard Chappell, GISP
Autocad Civil3d for Surveyors (Stringer)
Autocad Civil3d for Surveyors (Stringer)
Jason_Coghlan16
Autodesk civil3 d_tutorail
Autodesk civil3 d_tutorail
Kushal Patel
Ad

Similar to Au 2008 Gs100 1 P Getting Spatial With (20)

Topology in GIS
Topology in GIS
Rohit Kumar
Agic 2009 Getting Spatial Map
Agic 2009 Getting Spatial Map
Richard Chappell, GISP
Gis Concepts 5/5
Gis Concepts 5/5
CIER Facultad de Agronom鱈a
Agic 2009 Losing My Religion Gis Interoperability
Agic 2009 Losing My Religion Gis Interoperability
Richard Chappell, GISP
GIS_Data_models.ppt Dr. Rapanwad Sunil Ramrao
GIS_Data_models.ppt Dr. Rapanwad Sunil Ramrao
DrSunilRapanwad
TerraWorld
TerraWorld
Mohammad Ullah Khan, MAusIMM (Ph.D)
Data Models - GIS I
Data Models - GIS I
John Reiser
GIS Data Types
GIS Data Types
John Reiser
Au 2007 ItS Not Cad To Gis Final
Au 2007 ItS Not Cad To Gis Final
Richard Chappell, GISP
Data models in geographical information system(GIS)
Data models in geographical information system(GIS)
PRAMODA G
Mujungi Davis
Mujungi Davis
Said Mujungi
Conceptual models of real world geographical phenomena (epm107_2007)
Conceptual models of real world geographical phenomena (epm107_2007)
esambale
Arcgis training day_2
Arcgis training day_2
yashasweesharma
Arc gis desktop_and_geoprocessing
Arc gis desktop_and_geoprocessing
Esri
Data input and transformation
Data input and transformation
Mohsin Siddique
Four data models in GIS
Four data models in GIS
Prof. A.Balasubramanian
Spatial data for GIS
Spatial data for GIS
Al Nahian Avro
GIS Fundamentals, and Basic Introduction
GIS Fundamentals, and Basic Introduction
FarihaMunia
Seminar on gis analysis functions
Seminar on gis analysis functions
PRAMODA G
Modelo de dados vetorial e matricial - slides
Modelo de dados vetorial e matricial - slides
LuzianeRibeiroIndjai
Topology in GIS
Topology in GIS
Rohit Kumar
Agic 2009 Losing My Religion Gis Interoperability
Agic 2009 Losing My Religion Gis Interoperability
Richard Chappell, GISP
GIS_Data_models.ppt Dr. Rapanwad Sunil Ramrao
GIS_Data_models.ppt Dr. Rapanwad Sunil Ramrao
DrSunilRapanwad
Data Models - GIS I
Data Models - GIS I
John Reiser
GIS Data Types
GIS Data Types
John Reiser
Data models in geographical information system(GIS)
Data models in geographical information system(GIS)
PRAMODA G
Conceptual models of real world geographical phenomena (epm107_2007)
Conceptual models of real world geographical phenomena (epm107_2007)
esambale
Arcgis training day_2
Arcgis training day_2
yashasweesharma
Arc gis desktop_and_geoprocessing
Arc gis desktop_and_geoprocessing
Esri
Data input and transformation
Data input and transformation
Mohsin Siddique
Spatial data for GIS
Spatial data for GIS
Al Nahian Avro
GIS Fundamentals, and Basic Introduction
GIS Fundamentals, and Basic Introduction
FarihaMunia
Seminar on gis analysis functions
Seminar on gis analysis functions
PRAMODA G
Modelo de dados vetorial e matricial - slides
Modelo de dados vetorial e matricial - slides
LuzianeRibeiroIndjai
Ad

Au 2008 Gs100 1 P Getting Spatial With

  • 1. Getting Spatial With AutoCAD速 Map Richard E. Chappell Geospatial Territory Manager Rick.Chappell@gmail.com www.richardchappell.com
  • 2. Objectives After attending this session, you will be able to: Work with AutoCAD Map in multi-user environments Understand spatial analysis and some of its uses Understand how data is used for spatial analysis Create smarter AutoCAD Drawings for data mining Perform common types of spatial analysis with AutoCAD Map
  • 3. Teamwork: Multi-user editing Increase your effectiveness by sharing the load
  • 4. Multi-User Editing Tiled Source Drawings Current Drawings
  • 5. Multi-User Editing Coincident (or segregated) Source Drawings Current Drawings
  • 6. Multi-User Editing Other Formats Source Drawings and Feature Data Current Drawings
  • 8. Spaghetti and Meatballs: Working with features Getting to know the parts and pieces
  • 12. Raster Vs. Vector A point in a raster system is a single cell, but in a raster system is a coordinate (Accuracy depends on the data) A line in a raster system is a series of cells it can falsely imply width, but in a vector system is 2 points and the line between them In a raster system, the accuracy is immediately apparent, while in a vector, it can be misleading
  • 13. Topology Topology consists of these properties: Adjacency Connectivity Containment
  • 14. Objects Vs Features Objects - AutoCAD drawing elements created and stored in the DWG Defined by drawing properties layer, color, etc Outside objects can be imported to become objects Features - Elements stored outside of the DWG file in database or similar file, and are only referenced in the DWG file. No stylization properties Organized as layers available from the Display Manager
  • 15. Topologies - Types Point (or Node) Topology Created from AutoCAD points, blocks or text A new object table gets created TPMNODE_topologyname Lines (or network, link or chain) Topology Created from lines, open polylines or arcs A new object table gets created TPMLINK_topologyname If you create nodes at the same time, a node object table gets created as well Polygon Topology Created from a set of lines, open polylines or arcs that enclose an area. It may or may not have a centroid A new object table gets created TPMCNTR_topologyname A link tabe is defined, and a node may be defined
  • 18. It's not dumb data: Managing Attributes The heart of the matter is information
  • 19. Object Data Data tables stored in the drawing AutoCAD Map 3D only Tables are automatically created during topology creation Tables are created for data imported from other formats, such as ESRI Shape files Create using ADEDEFDATA Add records and attach to object with ADEATTACHDATA View or edit the data with ADEEDITDATA Only accessible to Map users Best if data is relatively static, such as descriptive characteristics
  • 20. External Data Outside databases Can be connected to drawing objects Accessible outside the drawing Better for dynamic, changeable data Connected to the DWG file through a Universal Data Link (UDL) file named source.UDL Generate the UDL file by attaching database define a link template - MAPDEFINELT Generate data links - ADEGENLINK
  • 22. Database only Joins and Calculates Add additional attribute data to your GIS features Once the join is made, these new attributes can be used for labeling, themes, and analysis. Types of Joins One-to-One Join One-to-Many Join Left Outer Join Inner Join Calculations generate new data based on other data
  • 24. Where is it? Spatial Analysis Techniques The New Math
  • 25. Network Analysis Shortest Path
  • 26. Network Analysis Best Route
  • 27. Network Analysis Flood trace
  • 28. Buffer Analysis Buffers can be created from point, line and polygon topologies Generates a new polygon topology Can be a negative number
  • 30. Overlay Analysis - Intersection Only areas that appear in both the source and overlay topologies are in the result topology
  • 31. Overlay Analysis - Identity The result topology includes areas that appear in the source topology and areas in the overlay topology that are within the source topology boundary.
  • 32. Overlay Analysis - Clip The result topology includes areas that appear in the source topology except where they are outside the boundary of the overlay topology. The source topology is clipped to the outer boundary of the overlay topology.
  • 33. Overlay Analysis - Union Areas that appear in either the source or the overlay topologies are in the result topology.
  • 34. Overlay Analysis - Erase The result topology includes areas that appear in the source topology except where it is covered by the overlay topology. The area covered by the overlay topology is erased from the source topology area.
  • 35. Overlay Analysis - Paste The overlay topology is "pasted" on the source topology. The result topology includes the overlay topology and any areas of the source topology that extend beyond the boundaries of the overlay topology
  • 38. Multiple Steps to get complex results
  • 40. Review Questions Topology is a synonym of topography. True False
  • 41. Review Questions To find who owns the land where a new power pole is being installed, I could use a Polygon Intersection Line Buffer Point in Polygon Polygon Recode
  • 42. Review Questions Which of the following analysis operations can be accomplished without using spatial data? Buffer Overlay Calculate Intersection Clipping