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Concepts
Rasters
Rasters divide space into uniform cells or pixels and use a 2-D matrix to store sampled values for each cell. The cell width and height are of a uniform size; however, the cell height may be different than the cell width. The cells of a raster depict a variety of data, such as light reflectance captured by a satellite, a photograph's color value, a thematic attribute such as vegetation type, a surface value, or elevation. Rasters can represent an imaged map, a surface, an environmental attribute sampled on a grid, or photographs of objects referenced to features.
 

Basic Principles
Data Loading
Data Retrieval
Database Schema
API Entities
API Comparison

 

In the context of GIS applications, raster data is an abstraction of the real world to which spatial data is expressed as a matrix of cells or pixels, with spatial position implicit in the ordering of the pixels. With the raster data model, spatial data is not continuous but divided into discrete units. This makes raster data particularly suitable for certain types of spatial operations, such as overlays or area calculations. Unlike vector data, however, there are no implicit topological relationships.

The ArcSDE 9.3 Raster API provides a mechanism for loading raster data from an application onto the ArcSDE server and retrieving it. The API is a low-level interface for basic read-write raster data access to the ArcSDE server. Thus, it enables organizations to store their raster data in one of the supported commercial (IBM DB2, Informix, Microsoft SQL Server, and Oracle) or open-source (PostgreSQL) relational DBMS for fast, online, multiuser access to continuous raster data.

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