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Associating Attribute Data In GIS

Associating Attribute Data In GIS. Prepared by:. John McGee Jennifer McKee. With support from:. NSF DUE-0903270. in partnership with:. Geospatial Technician Education Through Virginia’s Community Colleges (GTEVCC). The Problem.

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Associating Attribute Data In GIS

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  1. Associating Attribute Data In GIS Prepared by: John McGee Jennifer McKee With support from: NSF DUE-0903270 in partnership with: Geospatial Technician Education Through Virginia’s Community Colleges (GTEVCC)

  2. The Problem • Data comes from a variety of sources, and often, the data you want to display on your map is not directly stored with your geographic data (i.e. has no spatial component). Spatial Component

  3. Non-Spatial Data Sources • For example, you might obtain data from • A federal agency • A state agency • A local government • If this information is stored in a table, such as an Excel spreadsheet, or even a text file), you can associate it with geographic features and display the data on your map.

  4. Benefits of Associating Data? • Efficiently incorporate non-spatial data into an existing layer. • specifically data without a geographic component • Merge layers for subsequent mapping and analysis • temporarily or permanently

  5. Methods Of Associating Data • ArcMap provides two methods to associate attributes with geographic features • Joins: • When you join two tables, you append the attributes from one into the other based on a field common to both tables. • Relates: • Relating tables defines a relationship between two tables—also based on a common field—but doesn't append the attributes of one to the other. Instead, you can access the related data when necessary.

  6. Jennifer McKee Geospatial Project Developer John McGee Donald Trump VA Geospatial Extension Specialist Real Estate Tycoon What Is Joining? • Merging the attributes of two datasets that share a common attribute. • One-to-one relationship (Joining)

  7. What Is Joining? • Merging the attributes of two datasets that share a common attribute. • One-to-one relationship Common Attribute

  8. What Is Joining? • Merging the attributes of two datasets that share a common attribute. • One-to-one relationship

  9. When To Join? • You'll want to join two tables when the data in the tables has a one-to-one or a many-to-one relationship—for example, you have a layer showing store locations, and you want to join a table of the latest monthly sales figures to it.

  10. What is Relating? • One-to-many relationships (Relating) • Not covered in this workshop McGee Family Leighton John Baboo John Cole Alicia Sealy

  11. What is Relating? • One-to-many relationships Common Attribute

  12. When To Relate? • You'll want to relate two tables when the data in the tables has a one-to-many or many-to-many relationship - for example, your map displays a parcel database, and you have a table of owners. A parcel may have more than one owner, and an owner may own more than one parcel.

  13. Notes About Joining • Joins and relates are reconnected whenever you open the map. This way, if the underlying data in your tables changes, it will be reflected in the join or relate. • When you're through using a join or relate, you can remove it. • You can make a join permanent by exporting the dataset • Can associate any datasets, but only if they share a common attribute

  14. Common Attribute Must Be Exact! • String types will not associate to integer types even if the String field contains only integers.

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