Grid based analysis of diversity. It is assumed that the input grid provides a classification (i.e. not a contiuous field). For each cell it counts the number of different categories (classes) as well as the connectivity within the chosen search window.
| Name | Type | Identifier | Description | Constraints |
Input | Categories | Grid (input) | CATEGORIES | - | - |
Output | Number of Categories | Grid (output) | COUNT | number of different categories (unique values) within search area | - |
Diversity | Grid (output) | DIVERSITY | distance weighted average of the number of different categories for distance classes | - |
Connectivity | Grid (output) | CONNECTIVITY | - | - |
Averaged Connectivity | Grid (output) | CONNECTEDAVG | average size of the area covered by each category that occurs within search area | - |
Options | Grid System | Grid system | PARAMETERS_GRID_SYSTEM | - | - |
Connectivity Neighbourhood | Choice | NB_CASE | - | Available Choices: [0] Rook's case [1] Queen's case Default: 1 |
Normalize | Choice | NORMALIZE | - | Available Choices: [0] no [1] by number of cells [2] by area size Default: 0 |
Kernel Type | Choice | KERNEL_TYPE | The kernel's shape. | Available Choices: [0] Square [1] Circle Default: 1 |
Radius | Integer | KERNEL_RADIUS | cells | Minimum: 0 Default: 2 |
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 |