dynamic_lisa
Run directional LISA to analyze spatial autocorrelation with sector counts, angles, and vector lengths; optionally compute permutation p-values to identify significant directional patterns.
Instructions
Run dynamic LISA (directional LISA) with giddy.directional.Rose.
Returns sector counts, angles, vector lengths, and (optionally) permutation p-values.
Tool call template
Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {
"shapefile_path": "<shapefile_path>",
"value_columns": "<value_columns>"
},
"name": "dynamic_lisa"
}
}Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| shapefile_path | Yes | ||
| value_columns | Yes | ||
| target_crs | No | EPSG:4326 | |
| weights_method | No | queen | |
| distance_threshold | No | ||
| k | No | ||
| permutations | No | ||
| alternative | No | two.sided | |
| relative | No | ||
| drop_na | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||