Based on its neighbourhood this tool calculates for each grid cell various statistical measures. According to Wilson & Gallant (2000) this tool was named 'Residual Analysis (Grid)' in earlier versions.
| Name | Type | Identifier | Description | Constraints |
Input | Grid | Grid (input) | GRID | - | - |
Output | Mean Value (*) | Grid (optional output) | MEAN | - | - |
Minimum Value (*) | Grid (optional output) | MIN | - | - |
Maximum Value (*) | Grid (optional output) | MAX | - | - |
Value Range (*) | Grid (optional output) | RANGE | - | - |
Standard Deviation (*) | Grid (optional output) | STDDEV | - | - |
Variance (*) | Grid (optional output) | VARIANCE | - | - |
Sum (*) | Grid (optional output) | SUM | - | - |
Difference from Mean Value (*) | Grid (optional output) | DIFF | - | - |
Deviation from Mean Value (*) | Grid (optional output) | DEVMEAN | - | - |
Percentile (*) | Grid (optional output) | PERCENT | - | - |
Median (*) | Grid (optional output) | MEDIAN | - | - |
Minority (*) | Grid (optional output) | MINORITY | - | - |
Majority (*) | Grid (optional output) | MAJORITY | - | - |
Options | Grid System | Grid system | PARAMETERS_GRID_SYSTEM | - | - |
Include Center Cell | Boolean | BCENTER | - | Default: 1 |
Kernel Type | Choice | KERNEL_TYPE | The kernel's shape. | Available Choices: [0] Square [1] Circle [2] Annulus [3] Sector Default: 1 |
Inner Radius | Integer | KERNEL_INNER | cells | Minimum: 0 Default: 0 |
Radius | Integer | KERNEL_RADIUS | cells | Minimum: 0 Default: 2 |
Direction | Floating point | KERNEL_DIRECTION | degree | Minimum: -360.000000 Maximum: 360.000000 Default: 0.000000 |
Tolerance | Floating point | KERNEL_TOLERANCE | degree | Minimum: 0.000000 Maximum: 180.000000 Default: 5.000000 |
Weighting Function | Choice | DW_WEIGHTING | - | Available Choices: [0] no distance weighting [1] inverse distance to a power [2] exponential [3] gaussian Default: 0 |
Power | Floating point | DW_IDW_POWER | - | Minimum: 0.000000 Default: 2.000000 |
Bandwidth | Floating point | DW_BANDWIDTH | Bandwidth for exponential and Gaussian weighting | Minimum: 0.000000 Default: 1.000000 |
(*) optional |