Raster Attribute Table
A table storing attribute information for the unique values in a raster dataset, supporting classification and analysis (inferred from standard GIS usage).
What does a Raster Attribute Table represent in GIS?
Usually used for categorical (discrete) data, a Raster Attribute Table (RAT) in GIS is a tabular representation of the non-spatial qualities linked to the distinct cell values in a raster dataset.
What Is Included in the Raster Attribute Table?
A raster grid's distinct values or classes are represented by each row in a RAT. Typically, the table includes:
Value: The raster cell's distinct integer code, such as the land use class ID.
Count: The total number of cells with that particular value in the raster.
Category/Label: A name or description that is legible by humans (for example, "Forest," "Urban").
Other fields: Other qualities that the user has set (e.g., area, percentage coverage).
Effective raster data classification, analysis, and visualization are made possible by the Raster Attribute Table in GIS, which associates raster cell values with significant categories or attributes.
Related Keywords
In a GIS, a Raster Attribute Table (RAT) connects raster cell values to descriptive data, which facilitates the interpretation of categories such as elevation, soil type, and land cover.
A Raster Attribute Table (RAT) in ArcGIS is used to hold data about a raster dataset's pixel values. It facilitates the analysis and interpretation of raster data by associating descriptive attributes with each distinct cell value (e.g., land cover type, soil class, or elevation category). RATs are frequently used for categorical rasters, such as maps of vegetation or land use, since they enable efficient raster data querying, classification, and symbolization.
Data pertaining to raster values is stored in a Raster Attribute Table (RAT). With columns displaying characteristics like pixel count or area, each row represents a distinct value, such as land cover types (1 = Forest, 2 = Water).
A table that holds attribute data for the cells in a raster dataset is called a Raster Attribute Table (RAT). Usually, each row denotes a distinct cell value, while columns hold associated information like counts, classifications, or descriptive characteristics. To connect spatial data with relevant information for analysis and display, RATs are frequently utilized in thematic or categorical rasters.