If your output is a binary raster, what does it indicate?

A binary raster specifically indicates that the data represented contains only two possible values, typically denoting two distinct states or conditions. For example, in a land use analysis, a binary raster can represent areas classified as either "developed" or "undeveloped," with one value assigned to each category.

The simplicity of a binary raster structure is beneficial for various applications, such as modeling presence/absence scenarios, generating mask layers, or delineating features of interest. The two values could be represented as "0" and "1," with "0" often indicating one class (e.g., absence of a feature) and "1" indicating another (e.g., presence of a feature).

This aspect of binary rasters makes option A the most accurate choice, highlighting their utility in scenarios where only dichotomous outcomes are analyzed. Other options, referring to multiple data types, spatial continuity, or solely negative values, do not appropriately describe the characteristics of a binary raster. Binary rasters are fundamentally designed for two-state representation rather than for continuous data types or the representation of negative values.