Kernel Ratio
The
Kernel Ratio is an operation that calculates the kernel map to two distinct attributes and the result is a
ratio between these two maps.
It is
accessible through:
Plugins > Spatial Analysis >
Kernel Ratio...
This
interface consists of the
following steps:
1.
Input Information:
- Layer Name: Select the
desired Layer.
2. Kernel
Parameters:
- Attr Name: Attribute
name that identifies the desired information.
- Function: Quartic,
Normal, Triangular, Uniform and Negative Exponential.
- Estimation: Density, Spatial
Moving Average and Probability.
- Use adaptative radius:
Uses adaptative radius or defines the percentage value of total width.
- Attr Name: Attribute
name that identifies the desired information.
- Function: Quartic,
Normal, Triangular, Uniform and Negative Exponential.
- Estimation: Density, Spatial
Moving Average and Probability.
- Use adaptative radius:
Uses adaptative radius or defines the percentage value of total width.
- Combination: How the
kernal ratio is calculated (ratio, log ratio, absolute difference,
relative difference, absolute sum, relative sum).
3. Output
Information:
- Support Region: Defines
how the output data will be created.
- Grid: The
output is a grid (image) where the kernel map information is a pixel
value.
- Data Set: The output
is the input data plus a attribute with kernel map information.
- Repository: Defines
where the output data will be saved.
- Layer Name: Defines the
name to create the output layer.
Click OK and then the kernel
map will be calculated.