Math Options
Model + Constant: Add a specified constant to every model node.
Model + Model: Add the corresponding node values from another model. Example: Add two thickness grid models to output total thickness values.
Model – Constant: Subtract a specified constant from every node.
Constant – Model: Subtract every node value from a constant value.
Model – Model: Subtract the corresponding node values from another model. Example: Subtract a lower surface grid from an upper grid to output thickness values.
Model x Constant: Multiply every node by a specified constant.
Model x Model: Multiply every node by the corresponding node value within another model. Example: Multiply a model with a Boolean model (containing 0's and 1's) to zero-out areas where defined criteria are not met.
Model / Constant: Divide every node by a specified constant. If the Constant value equals zero, C will equal zero.
Constant / Model: Divide a constant by every node value.
Model / Model: Divide every node by the corresponding node value within another model. If the B value equals zero, C will equal zero (i.e., no divide-by-zero error). Example: Divide an ore thickness grid by an overburden thickness grid to create a stripping ratio model.
Absolute: Convert all node values to their absolute values.
Average: Compute the average for nodes within two models. Example: Compute average hydrothermal temperatures between two different dates.
Difference: Compute the difference between two models by computing the absolute value of subtracted nodes.
Highest: If A > B then Result = A else Result = B.
Lowest: If A < B then Result = A else Result = B.
Boolean AND: If A = 1 & B = 1 then Result = 1 else Result = 0. Only applies to Boolean models.
Boolean OR: If A = 1 or B = 1 then Result = 1 else Result = 0. Only applies to Boolean models.
Boolean XOR: If A <> B then Result = 1 else Result = 0. Only applies to Boolean models.
Log10: Returns the log base 10 of the node values (see example below).
Ln: Returns the natural logarithm of the node values (see example below).