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878 changes: 878 additions & 0 deletions modelling/data/abingdon-birds/analysis/calendar_activity.json

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4,625 changes: 4,625 additions & 0 deletions modelling/data/abingdon-birds/analysis/cluster_analysis.json

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244 changes: 244 additions & 0 deletions modelling/data/abingdon-birds/analysis/cluster_summary.txt
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Species clusters
================

Cluster 1
---------
Single-species cluster containing Redwing, mainly representing winter visitor with autumn arrival component. The defining pattern is a winter peak around January, a moderate autumn component, moderate summer suppression, and slow arrival fast departure response dynamics. Its defining traits include year wrapping winter presence, core winter winter peak, and moderate autumn component. Compared with the full species set, autumn to winter weight ratio is higher than the whole-set average and decay to growth ratio is higher than the whole-set average.

Species (1):
Redwing

Dominant model family : winter_presence
Dominant class : winter_visitor_with_autumn_arrival_component
Common traits : year_wrapping_winter_presence (1, 100%), core_winter_winter_peak (1, 100%), moderate_autumn_component (1, 100%), moderate_summer_suppression (1, 100%), low_baseline_presence (1, 100%)

Peak month mean/range : 1.00 (1.00 - 1.00)

Distinguishing numeric features:
- autumn_to_winter_weight_ratio (higher, scaled_difference=0.78)
- decay_to_growth_ratio (higher, scaled_difference=0.61)
- trough_month (lower, scaled_difference=-0.56)
- peak_month (lower, scaled_difference=-0.29)
- fit_score (lower, scaled_difference=-0.27)

Cluster 2
---------
Single-species cluster containing Swallow, mainly representing extended spring seasonal presence. The fitted active window runs roughly from April to October, with a mean peak around May, and and an average width of 6.2 months. It is characterised by very broad season and sharp active window. Its defining traits include spring peak, very broad season, and sharp seasonal window. Compared with the full species set, season end month is higher than the whole-set average and season width months is higher than the whole-set average.

Species (1):
Swallow

Dominant model family : seasonal_presence
Dominant class : extended_spring_seasonal_presence
Common traits : spring_peak (1, 100%), very_broad_season (1, 100%), sharp_seasonal_window (1, 100%), moderate_post_peak_decline (1, 100%), moderate_offseason_suppression (1, 100%)

Peak month mean/range : 5.47 (5.47 - 5.47)
Season width mean : 6.21 months

Distinguishing numeric features:
- season_end_month (higher, scaled_difference=0.71)
- season_width_months (higher, scaled_difference=0.56)
- season_midpoint_month (higher, scaled_difference=0.54)
- fit_score (lower, scaled_difference=-0.41)
- peak_month (higher, scaled_difference=0.21)

Cluster 3
---------
Single-species cluster containing Cuckoo, mainly representing narrow spring seasonal presence. The fitted active window runs roughly from April to June, with a mean peak around May, and and an average width of 1.8 months. It is characterised by narrow season and sharp active window. Its defining traits include spring peak, narrow season, and sharp seasonal window. Compared with the full species set, fit score is lower than the whole-set average and season width months is lower than the whole-set average.

Species (1):
Cuckoo

Dominant model family : seasonal_presence
Dominant class : narrow_spring_seasonal_presence
Common traits : spring_peak (1, 100%), narrow_season (1, 100%), sharp_seasonal_window (1, 100%), moderate_post_peak_decline (1, 100%), strong_offseason_suppression (1, 100%)

Peak month mean/range : 5.49 (5.49 - 5.49)
Season width mean : 1.83 months

Distinguishing numeric features:
- fit_score (lower, scaled_difference=-0.48)
- season_width_months (lower, scaled_difference=-0.44)
- season_end_month (lower, scaled_difference=-0.27)
- peak_month (higher, scaled_difference=0.21)
- season_start_month (higher, scaled_difference=0.19)

Cluster 4
---------
Cluster of 2 species, mainly representing moderate spring seasonal presence. The fitted active window runs roughly from April to June, with a mean peak around May, and and an average width of 2.6 months. It is characterised by moderate season and moderate active window. Common high-support traits include spring peak, moderate season, and moderate seasonal window. Compared with the full species set, fit score is lower than the whole-set average and season width months is lower than the whole-set average.

Species (2):
Reed Warbler
Whitethroat

Dominant model family : seasonal_presence
Dominant class : moderate_spring_seasonal_presence
Common traits : spring_peak (2, 100%), moderate_season (2, 100%), moderate_seasonal_window (2, 100%), strong_post_peak_decline (2, 100%), central_peak_alignment (2, 100%)

Peak month mean/range : 4.66 (4.12 - 5.19)
Season width mean : 2.60 months

Distinguishing numeric features:
- fit_score (lower, scaled_difference=-0.41)
- season_width_months (lower, scaled_difference=-0.26)
- season_end_month (lower, scaled_difference=-0.21)
- season_midpoint_month (lower, scaled_difference=-0.16)
- peak_month (higher, scaled_difference=0.12)

Cluster 5
---------
Single-species cluster containing Swift, mainly representing extended summer seasonal presence. The fitted active window runs roughly from May to September, with a mean peak around June, and and an average width of 4.2 months. It is characterised by broad season and moderate active window. Its defining traits include summer peak, broad season, and moderate seasonal window. Compared with the full species set, season midpoint month is higher than the whole-set average and season end month is higher than the whole-set average.

Species (1):
Swift

Dominant model family : seasonal_presence
Dominant class : extended_summer_seasonal_presence
Common traits : summer_peak (1, 100%), broad_season (1, 100%), moderate_seasonal_window (1, 100%), strong_post_peak_decline (1, 100%), strong_offseason_suppression (1, 100%)

Peak month mean/range : 6.06 (6.06 - 6.06)
Season width mean : 4.20 months

Distinguishing numeric features:
- season_midpoint_month (higher, scaled_difference=0.55)
- season_end_month (higher, scaled_difference=0.47)
- fit_score (lower, scaled_difference=-0.44)
- season_start_month (higher, scaled_difference=0.43)
- peak_month (higher, scaled_difference=0.28)

Cluster 6
---------
Cluster of 2 species, mainly representing extended spring seasonal presence. The fitted active window runs roughly from March to July, with a mean peak around April, and and an average width of 4.4 months. It is characterised by broad season and sharp active window. Common high-support traits include broad season, sharp seasonal window, and moderate post peak decline. Compared with the full species set, fit score is lower than the whole-set average and season start month is lower than the whole-set average.

Species (2):
Chiffchaff
Garden Warbler

Dominant model family : seasonal_presence
Dominant class : extended_spring_seasonal_presence
Common traits : broad_season (2, 100%), sharp_seasonal_window (2, 100%), moderate_post_peak_decline (2, 100%), strong_offseason_suppression (2, 100%), early_peak_alignment (2, 100%)

Peak month mean/range : 3.69 (3.12 - 4.25)
Season width mean : 4.39 months

Distinguishing numeric features:
- fit_score (lower, scaled_difference=-0.41)
- season_start_month (lower, scaled_difference=-0.40)
- season_midpoint_month (lower, scaled_difference=-0.30)
- season_width_months (higher, scaled_difference=0.15)
- season_end_month (lower, scaled_difference=-0.10)

Cluster 7
---------
Single-species cluster containing Jay, mainly representing resident with summer detectability collapse. Detectability peaks around October and and is lowest around August. The shared pattern includes weak baseline presence, moderate summer suppression, meaningful autumn component, and rapid decline biased response dynamics. Its defining traits include resident detectability pattern, weak baseline presence, and autumn detectability peak. Compared with the full species set, target amplitude is lower than the whole-set average and peak month is lower than the whole-set average.

Species (1):
Jay

Dominant model family : resident_detectability
Dominant class : resident_with_summer_detectability_collapse
Common traits : resident_detectability_pattern (1, 100%), weak_baseline_presence (1, 100%), autumn_detectability_peak (1, 100%), summer_detectability_trough (1, 100%), weak_spring_carryover (1, 100%)

Peak month mean/range : 10.00 (10.00 - 10.00)

Distinguishing numeric features:
- target_amplitude (lower, scaled_difference=-0.66)
- peak_month (lower, scaled_difference=-0.62)
- fit_score (higher, scaled_difference=0.52)
- target_mean_value (lower, scaled_difference=-0.41)
- year_end_to_winter_weight_ratio (higher, scaled_difference=0.40)

Cluster 8
---------
Cluster of 22 species, mainly representing resident with summer detectability collapse. Detectability peaks around April and and is lowest around September. The shared pattern includes weak baseline presence, moderate summer suppression, weak autumn component, and rapid decline biased response dynamics. Common high-support traits include resident detectability pattern, moderate summer suppression, and weak autumn component.

Species (22):
Collared Dove
House Sparrow
Mallard
Pied Wagtail
Chaffinch
Coal Tit
Blackcap
Skylark
Common Kestrel
Long Tailed Tit
Buzzard
Blackbird
Blue Tit
Dunnock
Canada Goose
Song Thrush
Greylag Goose
Great Tit
Pheasant
Rook
Greenfinch
Wren

Dominant model family : resident_detectability
Dominant class : resident_with_summer_detectability_collapse
Common traits : resident_detectability_pattern (22, 100%), moderate_summer_suppression (21, 95%), weak_autumn_component (20, 91%), meaningful_year_end_component (18, 82%), rapid_decline_biased_response_dynamics (17, 77%)

Peak month mean/range : 4.13 (3.00 - 6.00)

Distinguishing numeric features:
- year_end_to_winter_weight_ratio (lower, scaled_difference=-0.11)
- baseline_to_peak_ratio (lower, scaled_difference=-0.11)
- target_mean_value (lower, scaled_difference=-0.09)
- autumn_to_winter_weight_ratio (lower, scaled_difference=-0.09)
- peak_month (higher, scaled_difference=0.06)

Cluster 9
---------
Cluster of 7 species, mainly representing resident with summer detectability collapse. Detectability peaks around February and and is lowest around August. The shared pattern includes weak baseline presence, moderate summer suppression, weak autumn component, and decline biased response dynamics. Common high-support traits include resident detectability pattern, winter detectability peak, and meaningful year end component.

Species (7):
Cormorant
Mistle Thrush
Robin
Mute Swan
Herring Gull
Black Headed Gull
Coot

Dominant model family : resident_detectability
Dominant class : resident_with_summer_detectability_collapse
Common traits : resident_detectability_pattern (7, 100%), winter_detectability_peak (7, 100%), meaningful_year_end_component (7, 100%), strong_pre_summer_retention (6, 86%), weak_autumn_component (6, 86%)

Peak month mean/range : 2.00 (2.00 - 2.00)

Distinguishing numeric features:
- peak_month (lower, scaled_difference=-0.18)
- target_amplitude (lower, scaled_difference=-0.17)
- decay_to_growth_ratio (lower, scaled_difference=-0.16)
- year_end_to_winter_weight_ratio (higher, scaled_difference=0.14)
- target_mean_value (lower, scaled_difference=-0.09)

Cluster 10
----------
Cluster of 8 species, mainly representing resident with spring persistence and summer suppression. Detectability peaks around March and and is lowest around August. The shared pattern includes strong baseline presence, strong summer suppression, weak autumn component, and rapid decline biased response dynamics. Common high-support traits include resident detectability pattern, strong baseline presence, and strong summer suppression. Compared with the full species set, target mean value is higher than the whole-set average and baseline to peak ratio is higher than the whole-set average.

Species (8):
Grey Heron
Jackdaw
Red Kite
Goldfinch
Woodpigeon
Common Starling
Crow
Magpie

Dominant model family : resident_detectability
Dominant class : resident_with_spring_persistence_and_summer_suppression
Common traits : resident_detectability_pattern (8, 100%), strong_baseline_presence (8, 100%), strong_summer_suppression (8, 100%), meaningful_year_end_component (8, 100%), weak_autumn_component (7, 88%)

Peak month mean/range : 2.68 (2.00 - 5.00)

Distinguishing numeric features:
- target_mean_value (higher, scaled_difference=0.39)
- baseline_to_peak_ratio (higher, scaled_difference=0.35)
- fit_score (higher, scaled_difference=0.24)
- year_end_to_winter_weight_ratio (higher, scaled_difference=0.15)
- peak_month (lower, scaled_difference=-0.10)
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