{ "schema_version": "sweden-lake-evidence-richness.v2", "country": "Sweden", "radii_km": [ 10, 20, 30, 40, 50 ], "candidate_count": 6763, "methodology": { "candidate_derivation": "Candidates come from the Sweden lake registry published through SMHI SVAR. Each candidate uses a representative point derived from the official lake polygon instead of a pollen-point centroid. Only lakes with at least one human aDNA locality within 50 km remain in the ranked set. Registry names that clearly describe engineered water bodies or wetlands instead of sampling lakes are kept out of the shortlist.", "distance_bands": [ 10, 20, 30, 40, 50 ], "aggregate_radius_weights": { "10": 0.35, "20": 0.27, "30": 0.18, "40": 0.12, "50": 0.08 }, "score_components": { "human_adna_signal": 0.59, "direct_pollen_signal": 0.14, "nearby_pollen_signal": 0.07, "lake_sampling_fit": 0.07, "archaeology_signal": 0.07, "domesticated_animal_signal": 0.04, "evidence_diversity_signal": 0.02 }, "ranking_decision_rule": "Aggregate and band ranks sort first by human aDNA locality and sample coverage, then by direct pollen support, then by broader pollen and archaeology context, with sampling fit and blended score used as later tie-breakers.", "temporal_alignment_rule": "Neotoma pollen and SEAD archaeology remain lake-anchored context layers, but their stronger chronology contribution comes only from records with numeric BP intervals that overlap nearby human locality windows.", "identity_diagnostics": { "coordinate_spread_flag_km": 0.75, "name_match_distance_km": 2.0, "coordinate_resolution_methods": [ "svar_polygon_representative_point" ], "ambiguity_flags": [ "duplicate_sweden_name", "non_official_registry_name" ] }, "pollen_note": "Direct pollen signal reflects lake-basin pollen records placed on or very near the official lake. Nearby pollen signal then adds broader pollen context within the active distance band, with extra credit when those pollen records carry comparable chronology that overlaps nearby human localities.", "sampling_note": "Lake suitability remains separate from evidence density. Very small basins stay visible but score lower, while registry names that clearly point to wetlands, pits, ponds, or engineered water bodies do not enter the ranked shortlist.", "archaeology_note": "SEAD contributes site-level point counts and gains stronger weight when those site spans are numerically comparable and overlap nearby human locality windows. RA\u00c4 contributes coarse density cells, so the archaeology term still measures surrounding evidence richness rather than exact site-to-lake proximity.", "animal_note": "Domesticated animal aDNA remains a secondary contextual signal. Human aDNA is the decisive ranking term, direct pollen is the next tie-break, and archaeology resolves ties among similarly sampled lakes.", "source_temporal_coverage": { "neotoma_pollen": { "record_count": 99, "numeric_interval_record_count": 81, "numeric_interval_share": 0.8182, "capture_posture": "bp_site_spans_without_chronology_rows", "bp_age_range_record_count": 175, "chronology_row_record_count": 0, "spatial_representation": "site point inventory", "temporal_support_posture": "bp_site_spans_without_chronology_rows", "temporal_support_note": "Checked-in Neotoma points can carry numeric BP site spans, but chronology support remains uneven and must be read from the review packet.", "temporal_scope": "site-span pollen context", "distance_scoring_posture": "supporting_pollen_context", "distance_scoring_note": "Use Neotoma to compare pollen context around lakes; only promote it into chronology-aware support when a numeric interval is actually present.", "detail_metrics": { "site_count_with_bp_age_ranges": 175, "site_count_with_chronology_rows": 0, "site_count_without_bp_age_ranges": 25 }, "caveats": [ "Numeric BP site spans are available, but the checked-in raw capture does not currently include chronology rows for the same Sweden-facing site family.", "Some checked-in Neotoma sites remain spatial context only because they do not carry publishable BP age ranges." ] }, "landclim_pollen": { "record_count": 198, "numeric_interval_record_count": 190, "numeric_interval_share": 0.9596, "spatial_representation": "site-sequence point inventory", "temporal_support_posture": "numeric_site_sequence_intervals", "temporal_support_note": "Checked-in LandClim sequence points carry numeric BP windows in the normalized repository layer.", "temporal_scope": "site-sequence context", "distance_scoring_posture": "supporting_pollen_context", "distance_scoring_note": "Use LandClim to strengthen pollen context around lakes; do not treat it as direct human or archaeological evidence.", "detail_metrics": { "site_sequence_record_count": 492, "numeric_interval_record_count": 482 }, "caveats": [ "The registry reflects normalized site-sequence intervals rather than a separate chronology packet inventory." ], "capture_posture": "numeric_site_sequence_intervals" }, "sead_archaeology": { "record_count": 2007, "numeric_interval_record_count": 0, "numeric_interval_share": 0.0, "capture_posture": "site_inventory_only", "site_inventory_only_record_count": 2195, "spatial_representation": "site point inventory", "temporal_support_posture": "site_inventory_only", "temporal_support_note": "Checked-in SEAD points are useful archaeology context, but the repository must not read them as uniformly time-resolved evidence.", "temporal_scope": "archaeology-context inventory", "distance_scoring_posture": "contextual_archaeology_only", "distance_scoring_note": "Use SEAD to measure archaeology context around lakes; do not treat it as same-period support unless numeric intervals are explicitly present.", "detail_metrics": { "site_inventory_only_row_count": 2195, "dating_range_row_count": 0, "relative_period_row_count": 0 }, "caveats": [ "The checked-in SEAD state is a site inventory and contextual point layer, not a repository-wide chronology-support layer.", "The current Sweden-facing SEAD capture does not yet preserve linked relative-period or dating-range tables in checked-in raw form." ] } } }, "assessments": [ { "candidate": { "lake_name": "Bergsj\u00f6n", "lake_label": "Bergsj\u00f6n (58.201093, 13.484551)", "lake_token": "sweden_lake_registry:645548-136373", "name_key": "bergsjon", "latitude": 58.201093, "longitude": 13.484551, "basin_posture": "lake_basin", "direct_pollen_source_count": 0, "direct_pollen_record_count": 0, "time_aware_direct_pollen_records": 0, "pollen_sources": [], "supporting_pollen_names": [], "supporting_source_records": [ "svar-lakes:645548-136373" ], "supporting_source_points": [ { "source_record": "svar-lakes:645548-136373", "source_name": "Bergsj\u00f6n", "source_layer_key": "svar-lakes", "latitude": 58.201093, "longitude": 13.484551, "source_url": "https://vattenwebb.smhi.se/svarwebb/?sjoid=645548-136373" } ], "representative_source_record": "svar-lakes:645548-136373", "representative_source_layer_key": "svar-lakes", "representative_source_name": "Bergsj\u00f6n", "representative_source_url": "https://vattenwebb.smhi.se/svarwebb/?sjoid=645548-136373", "coordinate_resolution_method": "svar_polygon_representative_point", "duplicate_name_count": 8, "coordinate_spread_km": 0.0, "ambiguity_flags": [ "duplicate_sweden_name" ], "ambiguity_note": "8 Sweden candidates share this cleaned lake name.", "direct_pollen_signal": 0.0, "lake_registry_id": "645548-136373", "lake_registry_uuid": "C098EE58-F097-4EB2-86A9-061507A6364D", "lake_water_identity": "WA79177936", "lake_name_status": "water_surface_name", "lake_area_km2": 0.063346, "lake_sampling_posture": "compact_lake_candidate", "lake_sampling_fit": 0.63, "lake_sampling_notes": [ "small mapped water surface; prefer checking basin depth and access before field planning" ] }, "aggregate_rank": 1, "aggregate_score": 0.5947, "band_scores": [ { "radius_km": 10, "band_rank": 2, "total_score": 0.6194, "nearby_pollen_lake_count": 0, "time_aware_pollen_site_count": 0, "human_overlap_pollen_site_count": 0, "human_adna_locality_count": 8, "human_adna_sample_count": 125, "domesticated_animal_locality_count": 0, "domesticated_animal_sample_count": 0, "sead_site_count": 9, "time_aware_sead_site_count": 0, "human_overlap_sead_site_count": 0, "raa_density_site_count": 10501, "evidence_family_count": 2, "signals": { "nearby_pollen": 0.0, "human_adna": 0.9457, "domesticated_animal_adna": 0.0, "archaeology": 0.1328, "evidence_diversity": 0.4 } }, { "radius_km": 20, "band_rank": 6, "total_score": 0.541, "nearby_pollen_lake_count": 1, "time_aware_pollen_site_count": 0, "human_overlap_pollen_site_count": 0, "human_adna_locality_count": 9, "human_adna_sample_count": 126, "domesticated_animal_locality_count": 0, "domesticated_animal_sample_count": 0, "sead_site_count": 15, "time_aware_sead_site_count": 0, "human_overlap_sead_site_count": 0, "raa_density_site_count": 10501, "evidence_family_count": 3, "signals": { "nearby_pollen": 0.024, "human_adna": 0.8068, "domesticated_animal_adna": 0.0, "archaeology": 0.1036, "evidence_diversity": 0.6 } }, { "radius_km": 30, "band_rank": 20, "total_score": 0.6174, "nearby_pollen_lake_count": 1, "time_aware_pollen_site_count": 0, "human_overlap_pollen_site_count": 0, "human_adna_locality_count": 11, "human_adna_sample_count": 158, "domesticated_animal_locality_count": 0, "domesticated_animal_sample_count": 0, "sead_site_count": 26, "time_aware_sead_site_count": 0, "human_overlap_sead_site_count": 0, "raa_density_site_count": 26409, "evidence_family_count": 3, "signals": { "nearby_pollen": 0.0154, "human_adna": 0.9308, "domesticated_animal_adna": 0.0, "archaeology": 0.1579, "evidence_diversity": 0.6 } }, { "radius_km": 40, "band_rank": 33, "total_score": 0.608, "nearby_pollen_lake_count": 2, "time_aware_pollen_site_count": 1, "human_overlap_pollen_site_count": 1, "human_adna_locality_count": 11, "human_adna_sample_count": 158, "domesticated_animal_locality_count": 0, "domesticated_animal_sample_count": 0, "sead_site_count": 41, "time_aware_sead_site_count": 0, "human_overlap_sead_site_count": 0, "raa_density_site_count": 46860, "evidence_family_count": 3, "signals": { "nearby_pollen": 0.039, "human_adna": 0.9036, "domesticated_animal_adna": 0.0, "archaeology": 0.2286, "evidence_diversity": 0.6 } }, { "radius_km": 50, "band_rank": 60, "total_score": 0.5969, "nearby_pollen_lake_count": 6, "time_aware_pollen_site_count": 5, "human_overlap_pollen_site_count": 5, "human_adna_locality_count": 11, "human_adna_sample_count": 158, "domesticated_animal_locality_count": 0, "domesticated_animal_sample_count": 0, "sead_site_count": 57, "time_aware_sead_site_count": 0, "human_overlap_sead_site_count": 0, "raa_density_site_count": 46860, "evidence_family_count": 3, "signals": { "nearby_pollen": 0.1063, "human_adna": 0.8765, "domesticated_animal_adna": 0.0, "archaeology": 0.2312, "evidence_diversity": 0.6 } } ] }, { "candidate": { "lake_name": "Hulesj\u00f6n", "lake_label": "Hulesj\u00f6n", "lake_token": "sweden_lake_registry:645008-136594", "name_key": "hulesjon", "latitude": 58.154892, "longitude": 13.530245, "basin_posture": "lake_basin", "direct_pollen_source_count": 0, "direct_pollen_record_count": 0, "time_aware_direct_pollen_records": 0, "pollen_sources": [], "supporting_pollen_names": [], "supporting_source_records": [ "svar-lakes:645008-136594" ], "supporting_source_points": [ { "source_record": "svar-lakes:645008-136594", "source_name": "Hulesj\u00f6n", "source_layer_key": "svar-lakes", "latitude": 58.154892, "longitude": 13.530245, "source_url": "https://vattenwebb.smhi.se/svarwebb/?sjoid=645008-136594" } ], "representative_source_record": "svar-lakes:645008-136594", "representative_source_layer_key": "svar-lakes", "representative_source_name": "Hulesj\u00f6n", "representative_source_url": "https://vattenwebb.smhi.se/svarwebb/?sjoid=645008-136594", "coordinate_resolution_method": "svar_polygon_representative_point", "duplicate_name_count": 1, "coordinate_spread_km": 0.0, "ambiguity_flags": [], "ambiguity_note": "", "direct_pollen_signal": 0.0, "lake_registry_id": "645008-136594", "lake_registry_uuid": "6813B484-6BC5-42B5-BE65-F9CE5E2DA535", "lake_water_identity": "WA52329369", "lake_name_status": "water_surface_name", "lake_area_km2": 0.037617, "lake_sampling_posture": "small_lake_review", "lake_sampling_fit": 0.36, "lake_sampling_notes": [ "very small mapped water surface; treat as a micro-basin until field validation confirms suitability" ] }, "aggregate_rank": 2, "aggregate_score": 0.5875, "band_scores": [ { "radius_km": 10, "band_rank": 1, "total_score": 0.6332, "nearby_pollen_lake_count": 0, "time_aware_pollen_site_count": 0, "human_overlap_pollen_site_count": 0, "human_adna_locality_count": 9, "human_adna_sample_count": 126, "domesticated_animal_locality_count": 0, "domesticated_animal_sample_count": 0, "sead_site_count": 10, "time_aware_sead_site_count": 0, "human_overlap_sead_site_count": 0, "raa_density_site_count": 10501, "evidence_family_count": 2, "signals": { "nearby_pollen": 0.0, "human_adna": 1.0, "domesticated_animal_adna": 0.0, "archaeology": 0.143, "evidence_diversity": 0.4 } }, { "radius_km": 20, "band_rank": 7, "total_score": 0.5185, "nearby_pollen_lake_count": 0, "time_aware_pollen_site_count": 0, "human_overlap_pollen_site_count": 0, "human_adna_locality_count": 9, "human_adna_sample_count": 126, "domesticated_animal_locality_count": 0, "domesticated_animal_sample_count": 0, "sead_site_count": 15, "time_aware_sead_site_count": 0, "human_overlap_sead_site_count": 0, "raa_density_site_count": 19088, "evidence_family_count": 2, "signals": { "nearby_pollen": 0.0, "human_adna": 0.8068, "domesticated_animal_adna": 0.0, "archaeology": 0.1326, "evidence_diversity": 0.4 } }, { "radius_km": 30, "band_rank": 25, "total_score": 0.5965, "nearby_pollen_lake_count": 1, "time_aware_pollen_site_count": 0, "human_overlap_pollen_site_count": 0, "human_adna_locality_count": 11, "human_adna_sample_count": 158, "domesticated_animal_locality_count": 0, "domesticated_animal_sample_count": 0, "sead_site_count": 20, "time_aware_sead_site_count": 0, "human_overlap_sead_site_count": 0, "raa_density_site_count": 22903, "evidence_family_count": 3, "signals": { "nearby_pollen": 0.0154, "human_adna": 0.9308, "domesticated_animal_adna": 0.0, "archaeology": 0.1289, "evidence_diversity": 0.6 } }, { "radius_km": 40, "band_rank": 40, "total_score": 0.5882, "nearby_pollen_lake_count": 2, "time_aware_pollen_site_count": 1, "human_overlap_pollen_site_count": 1, "human_adna_locality_count": 11, "human_adna_sample_count": 158, "domesticated_animal_locality_count": 0, "domesticated_animal_sample_count": 0, "sead_site_count": 36, "time_aware_sead_site_count": 0, "human_overlap_sead_site_count": 0, "raa_density_site_count": 46860, "evidence_family_count": 3, "signals": { "nearby_pollen": 0.039, "human_adna": 0.9036, "domesticated_animal_adna": 0.0, "archaeology": 0.217, "evidence_diversity": 0.6 } }, { "radius_km": 50, "band_rank": 55, "total_score": 0.5989, "nearby_pollen_lake_count": 7, "time_aware_pollen_site_count": 6, "human_overlap_pollen_site_count": 5, "human_adna_locality_count": 12, "human_adna_sample_count": 159, "domesticated_animal_locality_count": 0, "domesticated_animal_sample_count": 0, "sead_site_count": 58, "time_aware_sead_site_count": 0, "human_overlap_sead_site_count": 0, "raa_density_site_count": 46860, "evidence_family_count": 3, "signals": { "nearby_pollen": 0.1212, "human_adna": 0.91, "domesticated_animal_adna": 0.0, "archaeology": 0.2329, "evidence_diversity": 0.6 } } ] }, { "candidate": { "lake_name": "Sj\u00f6torpasj\u00f6n", "lake_label": "Sj\u00f6torpasj\u00f6n (58.141960, 13.460319)", "lake_token": "sweden_lake_registry:644831-136156", "name_key": "sjotorpasjon", "latitude": 58.14196, "longitude": 13.460319, "basin_posture": "lake_basin", "direct_pollen_source_count": 0, "direct_pollen_record_count": 0, "time_aware_direct_pollen_records": 0, "pollen_sources": [], "supporting_pollen_names": [], "supporting_source_records": [ "svar-lakes:644831-136156" ], "supporting_source_points": [ { "source_record": "svar-lakes:644831-136156", "source_name": "Sj\u00f6torpasj\u00f6n", "source_layer_key": "svar-lakes", "latitude": 58.14196, "longitude": 13.460319, "source_url": "https://vattenwebb.smhi.se/svarwebb/?sjoid=644831-136156" } ], "representative_source_record": "svar-lakes:644831-136156", "representative_source_layer_key": "svar-lakes", "representative_source_name": "Sj\u00f6torpasj\u00f6n", "representative_source_url": "https://vattenwebb.smhi.se/svarwebb/?sjoid=644831-136156", "coordinate_resolution_method": "svar_polygon_representative_point", "duplicate_name_count": 2, "coordinate_spread_km": 0.0, "ambiguity_flags": [ "duplicate_sweden_name" ], "ambiguity_note": "2 Sweden candidates share this cleaned lake name.", "direct_pollen_signal": 0.0, "lake_registry_id": "644831-136156", "lake_registry_uuid": "57566525-7E8A-49EC-9C88-2E005C7E581E", "lake_water_identity": "WA37132330", "lake_name_status": "water_surface_name", "lake_area_km2": 0.603122, "lake_sampling_posture": "sampling_lake_candidate", "lake_sampling_fit": 1.0, "lake_sampling_notes": [] }, "aggregate_rank": 3, "aggregate_score": 0.5862, "band_scores": [ { "radius_km": 10, "band_rank": 3, "total_score": 0.5466, "nearby_pollen_lake_count": 0, "time_aware_pollen_site_count": 0, "human_overlap_pollen_site_count": 0, "human_adna_locality_count": 7, "human_adna_sample_count": 99, "domesticated_animal_locality_count": 0, "domesticated_animal_sample_count": 0, "sead_site_count": 6, "time_aware_sead_site_count": 0, "human_overlap_sead_site_count": 0, "raa_density_site_count": 10501, "evidence_family_count": 2, "signals": { "nearby_pollen": 0.0, "human_adna": 0.7821, "domesticated_animal_adna": 0.0, "archaeology": 0.102, "evidence_diversity": 0.4 } }, { "radius_km": 20, "band_rank": 4, "total_score": 0.5633, "nearby_pollen_lake_count": 0, "time_aware_pollen_site_count": 0, "human_overlap_pollen_site_count": 0, "human_adna_locality_count": 9, "human_adna_sample_count": 126, "domesticated_animal_locality_count": 0, "domesticated_animal_sample_count": 0, "sead_site_count": 15, "time_aware_sead_site_count": 0, "human_overlap_sead_site_count": 0, "raa_density_site_count": 19088, "evidence_family_count": 2, "signals": { "nearby_pollen": 0.0, "human_adna": 0.8068, "domesticated_animal_adna": 0.0, "archaeology": 0.1326, "evidence_diversity": 0.4 } }, { "radius_km": 30, "band_rank": 5, "total_score": 0.6422, "nearby_pollen_lake_count": 1, "time_aware_pollen_site_count": 0, "human_overlap_pollen_site_count": 0, "human_adna_locality_count": 11, "human_adna_sample_count": 158, "domesticated_animal_locality_count": 0, "domesticated_animal_sample_count": 0, "sead_site_count": 21, "time_aware_sead_site_count": 0, "human_overlap_sead_site_count": 0, "raa_density_site_count": 26409, "evidence_family_count": 3, "signals": { "nearby_pollen": 0.0154, "human_adna": 0.9308, "domesticated_animal_adna": 0.0, "archaeology": 0.1421, "evidence_diversity": 0.6 } }, { "radius_km": 40, "band_rank": 9, "total_score": 0.6327, "nearby_pollen_lake_count": 2, "time_aware_pollen_site_count": 1, "human_overlap_pollen_site_count": 1, "human_adna_locality_count": 11, "human_adna_sample_count": 158, "domesticated_animal_locality_count": 0, "domesticated_animal_sample_count": 0, "sead_site_count": 34, "time_aware_sead_site_count": 0, "human_overlap_sead_site_count": 0, "raa_density_site_count": 46860, "evidence_family_count": 3, "signals": { "nearby_pollen": 0.039, "human_adna": 0.9036, "domesticated_animal_adna": 0.0, "archaeology": 0.2124, "evidence_diversity": 0.6 } }, { "radius_km": 50, "band_rank": 8, "total_score": 0.6404, "nearby_pollen_lake_count": 5, "time_aware_pollen_site_count": 4, "human_overlap_pollen_site_count": 3, "human_adna_locality_count": 12, "human_adna_sample_count": 159, "domesticated_animal_locality_count": 0, "domesticated_animal_sample_count": 0, "sead_site_count": 53, "time_aware_sead_site_count": 0, "human_overlap_sead_site_count": 0, "raa_density_site_count": 46860, "evidence_family_count": 3, "signals": { "nearby_pollen": 0.0832, "human_adna": 0.91, "domesticated_animal_adna": 0.0, "archaeology": 0.2244, "evidence_diversity": 0.6 } } ] }, { "candidate": { "lake_name": "Hornborgasj\u00f6n", "lake_label": "Hornborgasj\u00f6n", "lake_token": "sweden_lake_registry:646918-136677", "name_key": "hornborgasjon", "latitude": 58.317269, "longitude": 13.549447, "basin_posture": "lake_basin", "direct_pollen_source_count": 0, 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