The strongest correlation is between LAT and LONG (r = 0.999, positive).
| n_pairs_tested | 496 |
| n_significant_fdr_05 | 297 |
| fdr_method | Benjamini-Hochberg |
| title | Correlation matrix |
correlation heatmap
correlation clustered
Warnings
- Excluded identifier-like numeric column(s): PLOT. These look like bookkeeping fields rather than measurements and were left out of the correlation matrix.
Method & Provenance
- Method
- Pearson correlation
- Engine
- Python · pandas/scipy 1.17.1
- Input dataset
-
gallery — catg_example_06_soil_carbon_credits.csv
- Started
- 2026-09-21 02:15:35.224408
- Permanent link
- https://cat-g-omxpert.wishartlab.com/results/by-token/67a240894fb1422c9e923022c7c20417
| Parameter | Value |
| method | pearson |
Command history
# python
corr = df.corr(method='pearson')
# python
from scipy import stats
# python
r, p = stats.pearsonr(x, y) # per pair
# python
q = statsmodels.stats.multitest.multipletests(p_values, method='fdr_bh')