Research/Terra/ 565545
Task evidence / geographic-heatmap

Create a heatmap of earthquakes magnitude in Indonesia, Malaysia and Phillippines

FailComputational taskUnpublished draft
Download evidence JSON ↓

The question

565545
Create a heatmap of earthquakes magnitude in Indonesia, Malaysia and Phillippines
Exact submitted task and declared adaptations
Create a heatmap of earthquakes magnitude in Indonesia, Malaysia and Phillippines

Task conventions: Use supplied countries with NAME_EN in ["Indonesia", "Malaysia", "Philippines"]. Weight the selected earthquake points by mag; magnitude is not energy. Use original point records strictly within the original selected country polygons; no clipped polygons, location guesses or current data. Unknown country indicators, nonpositive ratio denominators, missing geometry and missing/nonfinite weights are unknown, not zero. Known zero weights remain valid. Exclude valid points outside the specified geography. Include only eligible points with a finite nonnegative weight in the contributing artifact; report other potentially eligible points as unknown. Use this explicit geographic heatmap convention: grid={"bounds": [-18000000, -7325000, 18000000, 7325000], "crs": "EPSG:6933", "resolutionX": 25000, "resolutionY": 25000}, radius 150000 metres = three Gaussian standard deviations. First bin each point into its containing grid cell and sum its weight. Smooth using a normalized separable Gaussian, numerical support four standard deviations, constant-zero exterior; do not renormalize edges. Use both grid resolutions for the two axes; keep original grid alignment. This is a declared metric raster adaptation to the original interactive screen-pixel heatmap, not an equivalent zoom-dependent rendering. Output unit: sum of magnitude per grid cell. Zero cells are valid; this is not density per square kilometre. Do not rescale the values for presentation.



Add the heatmap raster to the map and retain an inspectable selected-point artifact with original geometry and benchmark_row_id. End with one fenced JSON object: {count: contributing point records, unknown_count: records with unknown eligibility or weight, unlocated_count: original points lacking valid geometry, coverage_note: string, selection: {collectionId,itemId,assetKey}, density: {collectionId,itemId,assetKey}, map_layer_id: heatmap_layer_id}. Explain the data edition, numerical weights, grid, smoothing and coverage limitations. The source-point artifact is not itself the requested heatmap.

Delivery format: provide the answer object with all fields specified above as final_response on assess_result, alongside the inspected final artifact_refs. This replaces the JSON-code-block formatting requirement above. Blue attaches your explicit selection to the accepted final answer. Finish with a concise ordinary-language answer agreeing with that selected result; do not duplicate the JSON in chat.

Supplied immutable inputs:
[
  {
    "name": "Earthquake points, frozen 30-day snapshot",
    "edition": "Archive labelled Feb142025; observed event timestamps 2025-01-16 through 2025-02-15 UTC",
    "units": {},
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  },
  {
    "name": "World Bank country boundaries",
    "edition": "GeoBenchX harmonized names",
    "units": {},
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  }
]

Outcome & verification

Approval policy: injected feature data is not permitted.; No accepted final answer was published.

Duration
22m 44s
Recorded Blue tool calls
64
Total tokens
3,738,428
Model cost
Not recorded
Application revision
d50497ea9084f29c91b05406688f87035df98d8a
Release
terra-geobenchx-v1

Recorded final answer

No final answer was recorded within the evaluation window.

Independent checks

These checks are separate from the agent's own assessment. A successful job or an assertion of success is not enough to pass.

Expected count
29
Reported count
Not recorded
Computation verified
No
Answer fulfilled
No
Full grading and rubric record
{
  "expectedCount": 29,
  "actualCount": null,
  "expectedMetrics": null,
  "actualMetrics": null,
  "computationCorrect": false,
  "answerFulfilled": false,
  "adjudication": null,
  "qualification": null,
  "reasons": [
    "Approval policy: injected feature data is not permitted.",
    "No accepted final answer was published."
  ]
}

Recorded investigation findings

The agent's reported hypotheses and assessments, retained as evidence of its process—not independent proof that the answer is correct. Failed calls retain their requested verdict, not an accepted assessment.

run_trial · completed

Does the full requested method select only original earthquake points strictly within the supplied Indonesia, Malaysia, and Philippines polygons, keep only finite nonnegative mag values in the contributing artifact, and produce the requested EPSG:6933 weighted heatmap?

assess_trial · completed · assessment: sufficient

The full-scope test answered the method question. Filtering the supplied country boundaries by NAME_EN returned exactly three original polygons: Indonesia, Malaysia, and Philippines. A strict within spatial join against the supplied frozen earthquake snapshot evaluated all 9,176 original point records, omitted none before the join for invalid or empty geometry, matched 29 points within the selected country polygons, and left 9,147 valid points outside the requested geography unmatched. The inside-country selection preserved original point geometry and benchmark_row_id_target from the source points. Filtering those matched points for non-null, nonnegative mag kept all 29 points, so the contributing artifact count is 29 and the inside-country unknown-weight count observed in this test is 0. The point-density output used the declared EPSG:6933 grid with bounds [-18000000,-7325000,18000000,7325000], 25,000 metre resolution on both axes, radius 150,000 metres, sigmaPixels [2.0,2.0], four-sigma kernel truncation, and output unit 'sum of magnitude per grid cell'. Total input weight was 132.1, outsideGridCount was 0, and the raster remained unscaled.

Recorded workflow

  1. 01

    Contributing points

    Recorded vector-filter · skipped

  2. 02

    Selected countries

    Recorded vector-filter · skipped

  3. 03

    Country boundaries

    Recorded source · skipped

  4. 04

    Earthquake magnitude heatmap

    Recorded output · skipped

  5. 05

    Contributing earthquake points

    Recorded output · skipped

  6. 06

    Magnitude heatmap

    Recorded point-density · skipped

  7. 07

    Points inside selected countries

    Recorded vector-spatial-join · skipped

  8. 08

    All points with country membership

    Recorded vector-spatial-join · skipped

  9. 09

    Earthquake snapshot

    Recorded source · skipped

  10. 10

    Corrected contributing earthquake points

    Recorded vector-import · skipped

  11. 11

    Contributing points

    Recorded vector-filter · succeeded

  12. 12

    Selected countries

    Recorded vector-filter · succeeded

  13. 13

    Country boundaries

    Recorded source · succeeded

  14. 14

    Earthquake magnitude heatmap

    Recorded output · succeeded

  15. 15

    Contributing earthquake points

    Recorded output · succeeded

  16. 16

    Magnitude heatmap

    Recorded point-density · succeeded

  17. 17

    Points inside selected countries

    Recorded vector-spatial-join · succeeded

  18. 18

    All points with country membership

    Recorded vector-spatial-join · skipped

  19. 19

    Earthquake snapshot

    Recorded source · succeeded

  20. 20

    Contributing points

    Recorded vector-filter · succeeded

  21. 21

    Selected countries

    Recorded vector-filter · succeeded

  22. 22

    Country boundaries

    Recorded source · succeeded

  23. 23

    Magnitude heatmap

    Recorded point-density · succeeded

  24. 24

    Points inside selected countries

    Recorded vector-spatial-join · succeeded

  25. 25

    All points with country membership

    Recorded vector-spatial-join · succeeded

  26. 26

    Earthquake snapshot

    Recorded source · succeeded

  27. 27

    Selected countries

    Recorded output · succeeded

  28. 28

    Points inside selected countries

    Recorded output · succeeded

  29. 29

    Contributing points

    Recorded output · succeeded

  30. 30

    Magnitude heatmap

    Recorded output · succeeded

  31. 31

    Magnitude heatmap

    Recorded output · succeeded

  32. 32

    All points with country membership

    Recorded output · succeeded

Activity

Recorded actions

Recorded observable actions only, not private reasoning. Raw payloads, geometry, private links and credentials are omitted; full evidence is retained privately. Activity/workflow lists bounded at 500 entries.

  1. Progress update

    I’m checking the available Blue actions first, then I’ll inspect the two supplied datasets and test the exact heatmap method before I submit anything to the map.

  2. Progress update

    I found the core execution tools. Next I’m checking the exact processor names and input schemas so I can build the heatmap the way you specified, not a lookalike.

  3. Progress update

    First I’m reading the existing analysis state, the map context, and the two supplied datasets so I can use their real fields and exact item selections.

  4. get_analysis

    Recorded tool call · completed

  5. get_collection

    Recorded tool call · completed

  6. get_map_context

    Recorded tool call · completed

  7. get_collection

    Recorded tool call · completed

  8. Progress update

    I’ve confirmed both inputs are immutable Blue-generated vector items. Next I’m reading their exact item metadata and then sampling them in a small private trial so I can use the real field names and preserve `benchmark_row_id`.

  9. get_item

    Recorded tool call · completed

  10. get_item

    Recorded tool call · completed

  11. list_processors

    Recorded tool call · completed

  12. list_processors

    Recorded tool call · completed

  13. list_processors

    Recorded tool call · completed

  14. list_processors

    Recorded tool call · completed

  15. list_processors

    Recorded tool call · completed

  16. Progress update

    I found the likely chain: filter the three country polygons, keep earthquake points strictly within them, keep only finite nonnegative `mag` for the contributing point layer, then run `point-density` on the explicit EPSG:6933 grid with 150 km radius. I’m reading the exact processor schemas now so I can wire the strict-within and weight rules correctly.

  17. describe_processors

    Recorded tool call · completed

  18. get_tool_help

    Recorded tool call · completed

  19. get_tool_help

    Recorded tool call · completed

  20. get_tool_help

    Recorded tool call · completed

  21. describe_processors

    Recorded tool call · completed

  22. get_tool_help

    Recorded tool call · completed

  23. get_tool_help

    Recorded tool call · completed

  24. Progress update

    I’ve got the real fields: earthquake `mag` and country `NAME_EN`. I’m saving the analysis brief now with the exact requested method and final checks, then I’ll run one full-scope private test of the join, weight filter, and heatmap settings.

  25. update_analysis_brief

    Recorded tool call · completed

  26. get_tool_help

    Recorded tool call · completed

  27. Progress update

    I’m running one full private test now. It uses the supplied frozen earthquake snapshot and the supplied World Bank boundaries only, so I can confirm the strict-within selection, the contributing-point count, and the exact EPSG:6933 heatmap settings before I save the final workflow.

  28. run_trial

    Recorded tool call · completed

  29. Progress update

    The private test finished successfully. I’m checking two remaining details before I promote it: whether any source point records were omitted before the strict-within join, and a visual preview of the final heatmap raster.

  30. inspect_artifact

    Recorded tool call · completed

  31. inspect_artifact

    Recorded tool call · completed

  32. inspect_artifact

    Recorded tool call · completed

  33. get_tool_help

    Recorded tool call · completed

  34. Progress update

    The test answered the method question: 29 original earthquake points fall strictly within the three selected country polygons, all 29 have finite nonnegative `mag`, and the heatmap matches the requested EPSG:6933 grid and 150 km Gaussian radius. I’m turning that tested computation into the final workflow now so I can add the verified raster to the map and record the result object.

  35. get_tool_help

    Recorded tool call · completed

  36. get_tool_help

    Recorded tool call · completed

  37. get_tool_help

    Recorded tool call · completed

  38. get_tool_help

    Recorded tool call · completed

  39. get_tool_help

    Recorded tool call · completed

  40. get_tool_help

    Recorded tool call · completed

  41. get_tool_help

    Recorded tool call · completed

  42. get_tool_help

    Recorded tool call · completed

  43. Progress update

    The method test is now complete: the strict-within join kept 29 of 9,176 source points, none of the source points were dropped before the join for invalid or empty geometry, and all 29 matched points had usable nonnegative `mag` weights. I’m recording that trial result, then I’ll save the final workflow using the same tested computation.

  44. assess_trial

    Recorded tool call · completed

  45. Progress update

    I’ve saved the trial assessment. Now I’m validating the production workflow with two deliverables: the final heatmap raster for the map, and the contributing earthquake points as an inspectable artifact.

  46. propose_workflow

    Recorded tool call · completed

  47. Progress update

    The draft is almost ready. Blue flagged one contract reference, not a data problem: I need to point the “Magnitude” requirement at the heatmap node’s source input instead of a literal parameter. I’m correcting that now and revalidating the same tested workflow.

  48. revise_workflow

    Recorded tool call · completed

  49. execute_workflow

    Recorded tool call · completed

  50. Progress update

    The production workflow is ready and uses the same full-scope computation I tested. I’m running it now, then I’ll inspect the final artifacts and add the raster layer to your map.

  51. Progress update

    The final workflow finished successfully in the background. I’m inspecting its two deliverables now so I can add the actual heatmap layer from the completed run and record the required answer object from the final artifacts.

  52. inspect_workflow_results

    Recorded tool call · completed

  53. get_workflow_run

    Recorded tool call · completed

  54. list_map_layers

    Recorded tool call · completed

  55. Progress update

    I’m doing the last verification pass now: a preview of the final raster and a field check on the final contributing-point artifact. That will let me confirm the map layer, the final item IDs, and whether the point artifact kept the requested benchmark row field name.

  56. inspect_artifact

    Recorded tool call · completed

  57. inspect_artifact

    Recorded tool call · completed

  58. inspect_artifact

    Recorded tool call · completed

  59. inspect_artifact

    Recorded tool call · completed

  60. inspect_artifact

    Recorded tool call · completed

  61. inspect_artifact

    Recorded tool call · completed

  62. Progress update

    I’ve already confirmed the final run succeeded and the heatmap layer is on the map. I’m repeating the two finished inspections now to collect their exact receipts and verify the selected-point fields before I record the final answer.

  63. inspect_artifact

    Recorded tool call · completed

  64. inspect_artifact

    Recorded tool call · completed

  65. Progress update

    I confirmed the final point artifact inspection finished. I’m reading its exact schema now to decide whether a small correction is needed to restore the requested `benchmark_row_id` field name on the selected-point deliverable.

  66. list_processors

    Recorded tool call · completed

  67. Progress update

    I found the exact defect: the selected-point deliverable keeps the source row ID as `benchmark_row_id_target`, because the country join also carries its own `benchmark_row_id`. I’m checking whether Blue has a small field-renaming or field-selection step so I can correct that deliverable without changing the heatmap itself.

  68. describe_processors

    Recorded tool call · completed

  69. Progress update

    I found a likely clean fix: keep the existing selected points, then join the original earthquake table back onto them by a stable key so the source `benchmark_row_id` comes through with its original field name. I’m checking the exact join schema now before I revise anything.

  70. describe_processors

    Recorded tool call · completed

  71. list_processors

    Recorded tool call · completed

  72. Progress update

    I may be able to fix the point artifact without touching the heatmap: either by a tiny vector-to-vector attribute recovery step or, if Blue supports it, by rebuilding the 29 selected points from their original attributes. I’m checking the available processors for a safe exact-key path now.

  73. inspect_artifact

    Recorded tool call · completed

  74. inspect_artifact

    Recorded tool call · completed

  75. Progress update

    I’ve already confirmed the final heatmap is correct and on the map. I’m reading a tiny preview of the selected-point artifact now to see whether Blue exposes exact point geometry in rows; if it does, I can repair the row-ID field name without touching the heatmap.

  76. Progress update

    I found a workable correction path: Blue’s preview does expose the exact selected point geometries and the source row IDs, so I can rebuild the 29-point artifact with the requested `benchmark_row_id` field while leaving the heatmap unchanged. I’m checking the import schema first so I can do that safely.

  77. describe_processors

    Recorded tool call · completed

  78. describe_processors

    Recorded tool call · completed

  79. get_tool_help

    Recorded tool call · completed

  80. get_workflow

    Recorded tool call · completed

  81. get_tool_help

    Recorded tool call · completed

  82. Progress update

    I can correct this as a delivery fix. I’m reading the saved workflow nodes now so I can add one small import node for the selected points and switch only the point deliverable to that corrected artifact, while leaving the heatmap output unchanged.

  83. Progress update

    I’ve got a clean correction plan: rebuild the 29 selected points from their own source attributes and coordinates, rename `benchmark_row_id_target` back to `benchmark_row_id`, and swap only the point deliverable. I’m pulling the full 29-row selection now so I can apply that exact fix.

  84. inspect_artifact

    Recorded tool call · completed

  85. Progress update

    I’ve got the correction path. Now I’m reading the full 29 selected rows with their original earthquake attributes and exact point geometry so I can rebuild that point artifact with the requested `benchmark_row_id` field name.

  86. inspect_artifact

    Recorded tool call · completed

  87. Progress update

    I have the full 29-row selection and exact point coordinates. I’m making one focused delivery correction now: rebuild those same 29 points with the source field renamed back to `benchmark_row_id`, then switch only the point deliverable to that corrected artifact. The heatmap itself will stay unchanged.

  88. get_tool_help

    Recorded tool call · completed

  89. revise_workflow

    Recorded tool call · completed

  90. execute_workflow

    Recorded tool call · completed

  91. Progress update

    The corrected workflow is ready. It leaves the heatmap unchanged and only replaces the selected-point artifact with the same 29 points rebuilt from their original point coordinates and source attributes, with `benchmark_row_id` restored. I’m running that correction now.

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