Reclass and Mask

Conditional Evaluation

Function name: conditional_evaluation

Experimental

Performs if-then-else conditional evaluation on raster cells.

raster math conditional legacy-port

Parameters

NameDescriptionRequiredDefault inputInput raster path.Requiredinput.tif statementConditional expression evaluated per cell.Requiredvalue > 35.0 trueValue or raster/expression used when condition is true.Optional1.0 falseValue or raster/expression used when condition is false.Optional0.0 outputOptional output raster path.Optional—

Examples

Assign values based on a per-cell condition. wbe.conditional_evaluation(false='dem.tif', input='dem.tif', output='conditional.tif', statement='value > 2500.0', true=2500.0)

Reclass

Function name: reclass

This tool creates a new raster in which the value of each grid cell is determined by an input raster (input) and a collection of user-defined classes. The user must specify the New value, the From value, and the To Just Less Than value of each class triplet of the reclass_value parameter. Classes must be mutually exclusive. Reclass values must be presented as lists-of-lists, where each row of the list contains either three (assign_mode=False) or two (assign_mode=True) values. If assign-mode is True, then the pair of values represent New value and Old value keys. As an example:

reclassed = wbe.reclass(raster, [[1.0, 0.0, 100.0], [2.0, 100.0, 200.0]], assign_mode=False)

Python API

def reclass(self, raster: Raster, reclass_values: List[List[float]], assign_mode: bool = False) -> Raster:

Reclass Equal Interval

Function name: reclass_equal_interval

This tool reclassifies the values in an input raster (input) file based on an equal-interval scheme, where the user must specify the reclass interval value (interval), the starting value (start_val), and optionally, the ending value (end_val). Grid cells containing values that fall outside of the range defined by the starting and ending values, will be assigned their original values in the output grid. If the user does not specify an ending value, the tool will assign a very large positive value.

See Also

reclass

Python API

def reclass_equal_interval(self, raster: Raster, interval_size: float, start_value: float = float('-inf'), end_value: float = float('inf')) -> Raster: