The model uses a main raster plus four auxiliary raster layers: Road distance, CBD distance, Population density, and Slope. Each layer is represented as a small matrix aligned with the main raster so that the same row and column can be compared cell by cell.
Conditions: All displayed matrices have the same number of rows and columns.; The auxiliary layers are used as inputs for threshold checking.
The model uses a main raster plus four auxiliary raster layers: Road distance, CBD distance, Population density, and Slope. Each layer is represented as a small matrix aligned with the main raster so that the same row and column can be compared cell by cell.
Conditions: All displayed matrices have the same number of rows and columns.; The auxiliary layers are used as inputs for threshold checking.
A raster dataset is a grid-based representation of spatial data where each cell (or pixel) holds a value (Digital Number or DN) corresponding to a specific class or attribute, such as land cover type.
Conditions: Data is spatially continuous or categorical.; Represented as a regular grid of cells.
A raster dataset is a grid-based representation of spatial data where each cell (or pixel) holds a value (Digital Number or DN) corresponding to a specific class or attribute, such as land cover type.
Conditions: Data is spatially continuous or categorical.; Represented as a regular grid of cells.