ArcGIS Data Models

56 Pages·2004·0.37 MB·English

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Overview of Session
• Raster Data Model Context
• Example Raster Data Models
• Important Raster GDB Considerations
• Rasters in ArcGIS 9.0
Questions / Answers / Comments
Sample Database and Design Documents
For more information, go to
http://support.esri.com/datamodels
What is a Data Model?
“A practical template for implementing GIS solutions”
• Built on consensus within a discipline
– Both providers and users
• Goal is consistency across organizations
• Great starting points
• Designed to adhere to emerging standards
Why Data Models?
• Data models provide…
– “Quick Start" solutions
– Best practices
• Optimized performance
– Improves data sharing
– More successful GIS implementations
• The ArcGIS geodatabase architecture allows…
– Ready-to-use frameworks
– Centralized location
– Intelligence/Rules
Raster Data Model Context
• Raster Data Models
• Essential parts of other data models
• Just another layer in your data model stacks
• Base-mapping and/or Analysis needs
• ESRI’s Geodatabase Raster Solution
• Enterprise or personal geodatabase
• We will focus on enterprise (ArcSDE)
• Easy to build specifically to meet your needs
Raster Data Model Context
Demonstration
Where do I start?
• Determine…
– The purpose of my raster data
– Your application’s scale of use
– The properties of the raster data
• All this contributes to your database design
– Use these guidelines to optimize your solution
Types of Geodatabase Rasters
• Raster Dataset
– Storage of a single raster dataset
– Mosaic many inputs to one continuous raster dataset
• Raster Catalog
– Container of independent raster datasets
– Organized as one entity in the database
• Raster Attributes of a Feature Class
– Feature class attribute
– Stored in the geodatabase
Raster Datasets
Input files Geodatabase Raster Dataset
3712a.tif 3712b.tif
UC2004.IMAGE_3712
3712c.tif 3712d.tif
• Single geodatabase raster dataset created from multiple
data sources
– Single row table in the geodatabase
– Overlapping pixels have options (overwrite, ignore, blend, min, max)
– Use for DEMs, most base-mapping, and where fast viewing at any
scale is important