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Modeling and Structuring Data

 

(GIS works on two types of Data - Spatial and Attribute Data)

 

Representing Spatial Elements

 

Raster

- Stores images as rows and columns of numbers with a Digital Value/Number (DN) for each cell.

- Units are usually represented as square grid cells that are uniform in size.

- Data is classified as “continuous” (such as in an image), or “thematic” (where each cell denotes a feature type.

- Numerous data formats (TIFF, GIF, img etc)

Vector

- Allows user to specify specific spatial locations and assumes that geographic space is continuous, not broken up into discrete grid squares .

- We store features as sets of X,Y coordinate pairs.

We typically represent objects in space as three distinct spatial elements:

 

Attribute

In the raster data model, the cell value (Digital Number) is the attribute.  Examples: brightness, landcover code, SST, etc.

For vector data, attribute records are linked to point, line & polygon features.  Can store multiple attributes per feature.  Vector features are linked to attributes by a unique feature number.

Raster advantage

- The most common data format Easy to perform mathematical and overlay  operations.

- Satellite information is easily incorporated .

- Better represents “continuous”- type data.

Vector Advantage

- Accurate positional information that is best for storing discrete thematic features (e.g., roads, shorelines, sea-bed features.

- Compact data storage requirements.

- Can associate unlimited numbers of attributes with specific features.

 

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