Statistical Test Result #192 — Analysis Report
Contents
- morans i (#192) completed
1. Morans I
2026-09-21 02:17:40 · statistical_test
The morans i on value was statistically significant (p = 0.001).
| i_statistic | 0.93426 |
|---|---|
| expected_i | -0.010101 |
| p_value | 0.001 |
| n | 100 |
| n_perm | 999 |
| k | 4 |
| interpretation | Significant positive spatial autocorrelation: similar values cluster together. |
| lat_col | lat |
| long_col | long |
| value_col | value |
moran scatter
moran map
Method & Provenance
- Method
- Moran's I spatial autocorrelation
- Engine
- Python · scipy 1.17.1
- Input dataset
- gallery — example_spatial.csv
- Started
- 2026-09-21 02:17:40.060293
- Permanent link
- https://cat-g-omxpert.wishartlab.com/results/by-token/66614358074645c98395b216a4924710
| Parameter | Value |
|---|---|
| test_type | morans_i |
| value_col | value |
| lat_col | lat |
| long_col | long |
| n_perm | 999 |
Command history
# python # app.services.spatial_service.morans_i (distance-decay weights) # python I, p = morans_i(values, latitudes, longitudes)