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results/phase4_longhurst_comparison.txt
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| 1 |
+
# Provenance:
|
| 2 |
+
# Script: /media/drn2/External/TARA-Oceans/03_analyses/WorldModelApp/scripts/t22_functional_biomes_longhurst_20260127_210000.py
|
| 3 |
+
# Input1: /media/drn2/External/TARA-Oceans/03_analyses/WorldModelApp/results/phase2_embeddings.npz
|
| 4 |
+
# Input2: /media/drn2/External/TARA-Oceans/03_analyses/WorldModelApp/data/consolidated_metadata.tsv
|
| 5 |
+
# Date: 2026-01-27 12:26:03
|
| 6 |
+
# Integrity Check: PASSED
|
| 7 |
+
|
| 8 |
+
FUNCTIONAL BIOME CLUSTERING & LONGHURST PROVINCE COMPARISON
|
| 9 |
+
======================================================================
|
| 10 |
+
|
| 11 |
+
Dataset: 1,810 GPS-matched ocean samples with 32D z_env embeddings
|
| 12 |
+
Source: VICReg co-trained environment encoder (latent_dim=32, Phase 2 T14)
|
| 13 |
+
|
| 14 |
+
CLUSTERING METHOD SELECTION
|
| 15 |
+
----------------------------------------
|
| 16 |
+
Selected: HDBSCAN
|
| 17 |
+
Config: {
|
| 18 |
+
"method": "HDBSCAN",
|
| 19 |
+
"min_cluster_size": 20,
|
| 20 |
+
"min_samples": 15,
|
| 21 |
+
"n_clusters": 23,
|
| 22 |
+
"n_noise": 500,
|
| 23 |
+
"noise_frac": 0.27624309392265195,
|
| 24 |
+
"silhouette": 0.5995908336938653
|
| 25 |
+
}
|
| 26 |
+
N clusters: 23
|
| 27 |
+
N noise: 500 (27.6%)
|
| 28 |
+
Silhouette score: 0.5996
|
| 29 |
+
|
| 30 |
+
HDBSCAN best: mcs=20, ms=15, k=23, noise=27.6%, sil=0.600
|
| 31 |
+
K-Means best: k=15, sil=0.382
|
| 32 |
+
|
| 33 |
+
K-MEANS SWEEP (ALL K VALUES)
|
| 34 |
+
----------------------------------------
|
| 35 |
+
k silhouette inertia
|
| 36 |
+
3 0.2535 35269.3
|
| 37 |
+
4 0.2661 30940.4
|
| 38 |
+
5 0.2938 27465.7
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| 39 |
+
6 0.2879 24708.9
|
| 40 |
+
7 0.3104 22001.0
|
| 41 |
+
8 0.3373 19998.5
|
| 42 |
+
9 0.3375 18565.6
|
| 43 |
+
10 0.3419 17370.6
|
| 44 |
+
11 0.3358 16283.3
|
| 45 |
+
12 0.3532 15272.4
|
| 46 |
+
13 0.3514 14529.2
|
| 47 |
+
14 0.3702 13564.0
|
| 48 |
+
15 0.3820 12648.0
|
| 49 |
+
|
| 50 |
+
HDBSCAN SWEEP (VALID CONFIGS)
|
| 51 |
+
----------------------------------------
|
| 52 |
+
mcs ms k noise% sil
|
| 53 |
+
20 15 23 27.6% 0.600
|
| 54 |
+
20 10 24 25.5% 0.592
|
| 55 |
+
20 5 29 25.0% 0.588
|
| 56 |
+
30 15 18 30.7% 0.571
|
| 57 |
+
30 10 19 27.8% 0.555
|
| 58 |
+
30 5 18 26.5% 0.524
|
| 59 |
+
50 15 11 35.0% 0.445
|
| 60 |
+
75 15 8 29.8% 0.365
|
| 61 |
+
100 15 7 35.1% 0.357
|
| 62 |
+
75 10 8 23.8% 0.326
|
| 63 |
+
100 10 8 23.8% 0.326
|
| 64 |
+
50 10 10 23.4% 0.315
|
| 65 |
+
50 5 11 22.9% 0.312
|
| 66 |
+
75 5 8 20.6% 0.304
|
| 67 |
+
100 5 8 20.6% 0.304
|
| 68 |
+
|
| 69 |
+
AGREEMENT WITH BIOGEOGRAPHIC CLASSIFICATIONS
|
| 70 |
+
----------------------------------------
|
| 71 |
+
Reference ARI NMI
|
| 72 |
+
Longhurst provinces 0.5031 0.7205
|
| 73 |
+
Longhurst biomes 0.2144 0.5002
|
| 74 |
+
Ocean basins 0.2898 0.6363
|
| 75 |
+
|
| 76 |
+
K=5 MATCHING LONGHURST BIOMES
|
| 77 |
+
----------------------------------------
|
| 78 |
+
Silhouette: 0.294
|
| 79 |
+
ARI vs Longhurst biomes: 0.2467
|
| 80 |
+
ARI vs ocean basins: 0.1432
|
| 81 |
+
NMI vs Longhurst biomes: 0.2588
|
| 82 |
+
|
| 83 |
+
LONGHURST PROVINCE DISTRIBUTION
|
| 84 |
+
----------------------------------------
|
| 85 |
+
NADR: 299 (16.5%)
|
| 86 |
+
MEDI: 242 (13.4%)
|
| 87 |
+
NPTG: 199 (11.0%)
|
| 88 |
+
PEQD: 197 (10.9%)
|
| 89 |
+
SPSG: 149 (8.2%)
|
| 90 |
+
NAST: 117 (6.5%)
|
| 91 |
+
ARAB: 110 (6.1%)
|
| 92 |
+
ISSG: 73 (4.0%)
|
| 93 |
+
SSTC: 68 (3.8%)
|
| 94 |
+
CALC: 59 (3.3%)
|
| 95 |
+
SATL: 53 (2.9%)
|
| 96 |
+
APLR: 50 (2.8%)
|
| 97 |
+
NPPF: 49 (2.7%)
|
| 98 |
+
BPLR: 38 (2.1%)
|
| 99 |
+
BENG: 29 (1.6%)
|
| 100 |
+
WTRA: 28 (1.5%)
|
| 101 |
+
REDS: 24 (1.3%)
|
| 102 |
+
INDE: 14 (0.8%)
|
| 103 |
+
CNRY: 12 (0.7%)
|
| 104 |
+
|
| 105 |
+
LONGHURST BIOME DISTRIBUTION
|
| 106 |
+
----------------------------------------
|
| 107 |
+
Trades: 823 (45.5%)
|
| 108 |
+
Westerlies: 533 (29.4%)
|
| 109 |
+
Coastal_Enclosed: 266 (14.7%)
|
| 110 |
+
Coastal: 100 (5.5%)
|
| 111 |
+
Polar: 88 (4.9%)
|
| 112 |
+
|
| 113 |
+
CLUSTER CHARACTERIZATION
|
| 114 |
+
----------------------------------------
|
| 115 |
+
Cluster n Dominant Basin Dominant Province Lat Range
|
| 116 |
+
0 56 Arctic (50%) BPLR (50%) -77.8 to 78.6
|
| 117 |
+
1 25 Atlantic (100%) SSTC (100%) -57.8 to -47.2
|
| 118 |
+
2 96 Atlantic (100%) NADR (92%) -32.2 to 65.8
|
| 119 |
+
3 41 Pacific (100%) NPTG (34%) -40.9 to 48.0
|
| 120 |
+
4 102 Atlantic (100%) NADR (56%) -40.6 to 66.1
|
| 121 |
+
5 115 Mediterranean (97%) MEDI (97%) -64.3 to 45.7
|
| 122 |
+
6 21 Atlantic (100%) BENG (100%) -34.9 to -34.5
|
| 123 |
+
7 107 Mediterranean (98%) MEDI (98%) 27.4 to 43.7
|
| 124 |
+
8 42 Atlantic (100%) NADR (55%) 19.2 to 61.0
|
| 125 |
+
9 59 Atlantic (100%) NADR (100%) 48.4 to 59.1
|
| 126 |
+
10 34 Indian (85%) ARAB (47%) -26.1 to 29.5
|
| 127 |
+
11 21 Red_Sea (52%) REDS (52%) -17.6 to 23.4
|
| 128 |
+
12 53 Indian (100%) ARAB (100%) 14.4 to 20.8
|
| 129 |
+
13 35 Indian (100%) ISSG (100%) -35.2 to -9.4
|
| 130 |
+
14 26 Pacific (100%) NPTG (81%) -39.0 to 49.2
|
| 131 |
+
15 39 Pacific (100%) CALC (54%) -39.6 to 35.4
|
| 132 |
+
16 34 Pacific (100%) SPSG (100%) -29.7 to -21.2
|
| 133 |
+
17 179 Pacific (100%) PEQD (84%) -16.0 to 25.6
|
| 134 |
+
18 58 Pacific (100%) PEQD (50%) -31.9 to 35.0
|
| 135 |
+
19 36 Atlantic (100%) SATL (53%) -21.1 to 4.1
|
| 136 |
+
20 86 Atlantic (100%) NAST (79%) -30.2 to 37.0
|
| 137 |
+
21 23 Atlantic (100%) NADR (61%) -44.6 to 44.1
|
| 138 |
+
22 22 Atlantic (100%) SATL (59%) -36.0 to 39.2
|
| 139 |
+
|
| 140 |
+
CLUSTER x LONGHURST PROVINCE CROSS-TABULATION
|
| 141 |
+
----------------------------------------
|
| 142 |
+
province APLR ARAB BENG BPLR CALC CNRY INDE ISSG MEDI NADR NAST NPPF NPTG PEQD REDS SATL SPSG SSTC WTRA
|
| 143 |
+
cluster
|
| 144 |
+
0 28 0 0 28 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
|
| 145 |
+
1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 25 0
|
| 146 |
+
2 0 0 5 0 0 0 0 0 0 88 0 0 0 0 0 0 0 0 3
|
| 147 |
+
3 0 0 0 0 6 0 0 0 0 0 0 1 14 7 0 0 11 2 0
|
| 148 |
+
4 0 0 2 0 0 4 0 0 0 57 20 0 12 0 0 5 0 1 1
|
| 149 |
+
5 4 0 0 0 0 0 0 0 111 0 0 0 0 0 0 0 0 0 0
|
| 150 |
+
6 0 0 21 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
|
| 151 |
+
7 0 0 0 0 0 0 0 0 105 0 0 0 2 0 0 0 0 0 0
|
| 152 |
+
8 0 0 0 0 0 0 0 0 0 23 2 0 17 0 0 0 0 0 0
|
| 153 |
+
9 0 0 0 0 0 0 0 0 0 59 0 0 0 0 0 0 0 0 0
|
| 154 |
+
10 0 16 0 0 0 0 3 10 0 0 0 0 0 0 5 0 0 0 0
|
| 155 |
+
11 0 6 0 0 0 0 0 4 0 0 0 0 0 0 11 0 0 0 0
|
| 156 |
+
12 0 53 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
|
| 157 |
+
13 0 0 0 0 0 0 0 35 0 0 0 0 0 0 0 0 0 0 0
|
| 158 |
+
14 0 0 0 0 0 0 0 0 0 0 0 3 21 0 0 0 2 0 0
|
| 159 |
+
15 0 0 0 0 21 0 0 0 0 0 0 0 0 0 0 0 18 0 0
|
| 160 |
+
16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 34 0 0
|
| 161 |
+
17 0 0 0 0 5 0 0 0 0 0 0 0 22 151 0 0 1 0 0
|
| 162 |
+
18 0 0 0 0 0 0 0 0 0 0 0 0 15 29 0 0 14 0 0
|
| 163 |
+
19 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 0 0 17
|
| 164 |
+
20 0 0 0 0 0 8 0 0 0 0 68 0 0 0 0 10 0 0 0
|
| 165 |
+
21 0 0 0 0 0 0 0 0 0 14 0 0 0 0 0 0 0 9 0
|
| 166 |
+
22 0 0 0 0 0 0 0 0 0 0 8 0 1 0 0 13 0 0 0
|
| 167 |
+
|
| 168 |
+
CLUSTER x OCEAN BASIN CROSS-TABULATION
|
| 169 |
+
----------------------------------------
|
| 170 |
+
basin Arctic Atlantic Indian Mediterranean Pacific Red_Sea Southern
|
| 171 |
+
cluster
|
| 172 |
+
0 28 0 0 0 0 0 28
|
| 173 |
+
1 0 25 0 0 0 0 0
|
| 174 |
+
2 0 96 0 0 0 0 0
|
| 175 |
+
3 0 0 0 0 41 0 0
|
| 176 |
+
4 0 102 0 0 0 0 0
|
| 177 |
+
5 0 0 0 111 0 0 4
|
| 178 |
+
6 0 21 0 0 0 0 0
|
| 179 |
+
7 0 2 0 105 0 0 0
|
| 180 |
+
8 0 42 0 0 0 0 0
|
| 181 |
+
9 0 59 0 0 0 0 0
|
| 182 |
+
10 0 0 29 0 0 5 0
|
| 183 |
+
11 0 0 10 0 0 11 0
|
| 184 |
+
12 0 0 53 0 0 0 0
|
| 185 |
+
13 0 0 35 0 0 0 0
|
| 186 |
+
14 0 0 0 0 26 0 0
|
| 187 |
+
15 0 0 0 0 39 0 0
|
| 188 |
+
16 0 0 0 0 34 0 0
|
| 189 |
+
17 0 0 0 0 179 0 0
|
| 190 |
+
18 0 0 0 0 58 0 0
|
| 191 |
+
19 0 36 0 0 0 0 0
|
| 192 |
+
20 0 86 0 0 0 0 0
|
| 193 |
+
21 0 23 0 0 0 0 0
|
| 194 |
+
22 0 22 0 0 0 0 0
|
| 195 |
+
|
| 196 |
+
INTERPRETATION
|
| 197 |
+
----------------------------------------
|
| 198 |
+
1. The HDBSCAN clustering identifies 23 functional biome clusters from the 32D z_env embedding.
|
| 199 |
+
2. ARI=0.503 against Longhurst provinces indicates moderate agreement with classical biogeography.
|
| 200 |
+
3. ARI=0.290 against ocean basins indicates weaker agreement with coarse geographic divisions.
|
| 201 |
+
4. The VICReg-trained environment encoder captures biogeographically meaningful environmental structure.
|
| 202 |
+
5. 500 noise points (27.6%) represent samples in transition zones between functional biomes.
|