What is mosaic data?
Mosaic is a consumer segmentation model designed by Experian. Mosaic is a cross-channel consumer classification system which segments the population into 15 groups and 66 types that helps you to understand an individual’s likely customer behaviour. You can find out more about the data behind Mosaic here.
What is mosaic data set?
Mosaic datasets are used to manage, display, serve, and share raster data. When you create a new mosaic dataset, it is created as an empty container in the geodatabase with some default properties to which you can add raster data.
What’s the difference between Mosaic and new raster?
MAXIMUM—The output cell value of the overlapping areas will be the maximum value of the overlapped cells. MOSAIC requires an existing Grid as its output. However, MOSAIC TO NEW RASTER is identical to MOSAIC, but outputs to a new Grid.
How are min and max calculated in mosaicking?
Min—The overlapping areas will contain the minimum cell values from all the overlapping cells. Max—The overlapping areas will contain the maximum cell values from all the overlapping cells. Mean—The overlapping areas will contain the mean cell values from all the overlapping cells.
What are the rules for a mosaic dataset?
First—The overlapping areas will contain the cells from the first raster dataset listed in the source. Last—The overlapping areas will contain the cells from the last raster dataset listed in the source. Min—The overlapping areas will contain the minimum cell values from all the overlapping cells.
What do you need to know about mosaic in ArcGIS?
The Mosaic tool has more parameters available when combining datasets into an existing raster, such as options to ignore background and nodata values. You must set the pixel type to match your existing input raster datasets. If you do not set the pixel type, the 8-bit default will be used and your output may be incorrect.