| Tool Name | Global Spatial Autocorrelation for Shapes |
| Tool ID | 16 |
| Library ID | statistics_regression |
| Version | 1.0 |
| Author(s) | O.Conrad (c) 2023 |
Lloyd, C.D. (2011): Local Models for Spatial Analysis. CRC Press, Taylor & Francis Group, 2nd Edition, 336p.
| Name | Type | Identifier | Description | Constraints |
|---|---|---|---|---|
| Input | ||||
| Shapes | shapes, input | SHAPES | ||
| Output | ||||
| Summary | table, output | SUMMARY | ||
| Options | ||||
| Variable | table field | VARIABLE | ||
| Weighting Function | choice | DW_WEIGHTING | Available Choices: [0] no distance weighting [1] inverse distance to a power [2] exponential [3] gaussian Default: 3 | |
| Power | floating point number | DW_IDW_POWER | Minimum: 0.000000 Default: 1.000000 | |
| Bandwidth | floating point number | DW_BANDWIDTH | Bandwidth for exponential and Gaussian weighting | Minimum: 0.000000 Default: 1.000000 |
| Search Range | choice | SEARCH_RANGE | Available Choices: [0] local [1] global Default: 1 | |
| Maximum Search Distance | floating point number | SEARCH_RADIUS | local maximum search distance given in map units | Minimum: 0.000000 Default: 1000.000000 |
| Number of Points | choice | SEARCH_POINTS_ALL | Available Choices: [0] maximum number of nearest points [1] all points within search distance Default: 1 | |
| Maximum | integer number | SEARCH_POINTS_MAX | maximum number of nearest points | Minimum: 1 Default: 20 |