Research/Terra/ 921361
Task evidence / geographic-heatmap

Create a heatmap of earthquakes in South Asia

PassComputational taskUnpublished draft
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The question

921361
Create a heatmap of earthquakes in South Asia.
Exact submitted task and declared adaptations
Create a heatmap of earthquakes in South Asia.

Task conventions: Use supplied countries with SUBREGION in ["Southern Asia"]. 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

Independent artifact and delivery checks passed.

Duration
20m 3s
Recorded Blue tool calls
50
Total tokens
2,447,687
Model cost
Not recorded
Application revision
d50497ea9084f29c91b05406688f87035df98d8a
Release
terra-geobenchx-v1

Recorded final answer

Done — the heatmap is on your map, and the contributing-point artifact with original geometry and `benchmark_row_id` is retained. It uses the supplied USGS frozen 30-day snapshot labeled Feb142025 (observed 2025-01-16 to 2025-02-15 UTC) and the supplied World Bank country boundaries. I kept 36 contributing earthquakes, with 0 unknown and 0 unlocated records. Values are summed magnitude per 25 km EPSG:6933 cell, smoothed with a 150 km Gaussian; they are not event counts, density, or energy. ### Limitations - Coverage is limited to the supplied frozen earthquake snapshot labelled Feb142025 with observed event timestamps 2025-01-16 through 2025-02-15 UTC and the supplied World Bank country boundaries harmonized by GeoBenchX. - Magnitude is the requested numerical weight; it is not energy. - Output values are smoothed sums of magnitude per 25 km cell on the fixed EPSG:6933 grid, not event counts or density per square kilometre. - Constant-zero exterior with no edge renormalization can reduce smoothed totals near grid edges; all 36 contributing points were inside the declared grid in the tested run. - Data edition: USGS Earthquake Hazards Program frozen GeoBenchX archive labelled Feb142025, with observed event timestamps 2025-01-16 through 2025-02-15 UTC; this is not current seismicity. - Geography: Selection follows the supplied World Bank country boundaries with GeoBenchX harmonized names and includes 9 polygons where SUBREGION is Southern Asia. - Weights: The heatmap sums earthquake magnitude by grid cell; magnitude is not energy. - Grid and smoothing: The raster is a fixed EPSG:6933 metric adaptation with 25 km cells, 150 km Gaussian radius equal to three standard deviations, four-standard-deviation numerical support, and constant-zero exterior with no edge renormalization. - Interpretation: Values are not event counts and not density per square kilometre. - Magnitude is used as the requested weight; it is not energy. - Valid earthquake points outside the supplied Southern Asia polygons are excluded. - Missing or nonfinite weights would be treated as unknown, not zero; none were used in the tested corrected run. - Output values are smoothed sums of magnitude per grid cell, not event counts, density per square kilometre, or energy. - Constant-zero exterior with no edge renormalization can reduce smoothed totals near grid edges.

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
36
Reported count
36
Computation verified
Yes
Answer fulfilled
Yes
Full grading and rubric record
{
  "expectedCount": 36,
  "actualCount": 36,
  "expectedMetrics": null,
  "actualMetrics": null,
  "computationCorrect": true,
  "answerFulfilled": true,
  "adjudication": null,
  "qualification": null,
  "reasons": []
}

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

Do the supplied source artifacts expose the expected fields for Southern Asia filtering, original point retention, and magnitude weighting?

assess_trial · completed · assessment: sufficient

The supplied earthquake snapshot exposes Point geometry, benchmark_row_id, and a numeric mag field, and the supplied country boundaries expose Polygon/MultiPolygon geometry with a SUBREGION field. Source inspection reported 9,176 earthquake points with valid geometry and 251 country features with valid geometry. This is sufficient to proceed with Southern Asia filtering, strict within selection, and mag-weighted heatmap testing.

run_trial · completed

Does the full South Asia workflow produce the requested strict-within contributing points and the fixed-grid mag-weighted heatmap with the declared Gaussian smoothing?

run_trial · completed

Can I preserve the point field named benchmark_row_id exactly by dissolving the Southern Asia country polygons by OBJECTID before the strict-within join?

assess_trial · completed · assessment: insufficient

The full-scope private run matched the requested geography and heatmap math. It selected 9 Southern Asia country polygons, kept 36 earthquake points strictly within those polygons, and produced a fixed-grid EPSG:6933 raster with 25,000 m x 25,000 m cells, radius 150,000 m, sigmaPixels [2,2], four-sigma kernel truncation, constant-zero exterior, and unit 'sum of magnitude per grid cell'. The heatmap used 36 points with total input weight 154.1, unknownWeightCount 0, and outsideGridCount 0. However, the selected-point artifact did not keep the point field named benchmark_row_id exactly because the spatial join created suffixed fields benchmark_row_id_target and benchmark_row_id_join.

assess_trial · completed · assessment: insufficient

Dissolving the selected Southern Asia countries by OBJECTID preserved the same nine country geometries and the strict-within join still returned the same 36 earthquake points, but it did not solve the field-name collision. The dissolved country layer still carried benchmark_row_id, so the joined points again exposed benchmark_row_id_target and benchmark_row_id_join instead of keeping the point field named benchmark_row_id exactly.

run_trial · completed

Does an aggregate strict-within join preserve the original point benchmark_row_id field while keeping the same South Asia selection and heatmap output?

assess_trial · completed · assessment: sufficient

The aggregate strict-within join resolved the field-name issue. It returned the same 36 in-country earthquake points, preserved the original point field named benchmark_row_id without a suffix, and kept country_match_count=1 for every selected point. The contributing-point artifact still contained 36 points, and the heatmap summary stayed unchanged: total input weight 154.1, EPSG:6933 grid 1440x586 at 25,000 m resolution, radius 150,000 m, sigmaPixels [2,2], four-sigma kernel truncation, unknownWeightCount 0, and outsideGridCount 0.

assess_result · completed · assessment: sufficient

I created the South Asia earthquake heatmap and added it to the map. The final run used the supplied frozen earthquake snapshot and supplied World Bank country boundaries, selected 9 Southern Asia country polygons, kept 36 contributing earthquake points strictly within those original polygons, preserved the point benchmark_row_id field, and generated the fixed EPSG:6933 raster on the requested 25 km grid with 150 km Gaussian smoothing. The heatmap layer is visible on the map as layer [resource id withheld].

Recorded workflow

  1. 01

    Contributing earthquake points

    Recorded vector-filter · succeeded

  2. 02

    Supplied country boundaries

    Recorded source · succeeded

  3. 03

    South Asia earthquake heatmap

    Recorded output · succeeded

  4. 04

    Contributing earthquake points

    Recorded output · succeeded

  5. 05

    South Asia earthquake heatmap

    Recorded point-density · succeeded

  6. 06

    Earthquakes strictly within Southern Asia countries

    Recorded vector-spatial-join · succeeded

  7. 07

    Supplied earthquake points

    Recorded source · succeeded

  8. 08

    Southern Asia countries

    Recorded vector-filter · succeeded

  9. 09

    contributing points

    Recorded vector-filter · succeeded

  10. 10

    countries

    Recorded source · succeeded

  11. 11

    heatmap

    Recorded point-density · succeeded

  12. 12

    in country points

    Recorded vector-spatial-join · succeeded

  13. 13

    quakes

    Recorded source · succeeded

  14. 14

    south asia countries

    Recorded vector-filter · succeeded

  15. 15

    in country points

    Recorded output · succeeded

  16. 16

    contributing points

    Recorded output · succeeded

  17. 17

    heatmap

    Recorded output · succeeded

  18. 18

    heatmap

    Recorded output · succeeded

  19. 19

    countries

    Recorded source · succeeded

  20. 20

    country join keys

    Recorded vector-dissolve · succeeded

  21. 21

    joined points

    Recorded vector-spatial-join · succeeded

  22. 22

    quakes

    Recorded source · succeeded

  23. 23

    south asia countries

    Recorded vector-filter · succeeded

  24. 24

    country join keys

    Recorded output · succeeded

  25. 25

    joined points

    Recorded output · succeeded

  26. 26

    Contributing earthquake points

    Recorded vector-filter · succeeded

  27. 27

    Supplied country boundaries

    Recorded source · succeeded

  28. 28

    South Asia earthquake heatmap

    Recorded point-density · succeeded

  29. 29

    Earthquakes strictly within Southern Asia countries

    Recorded vector-spatial-join · succeeded

  30. 30

    Supplied earthquake points

    Recorded source · succeeded

  31. 31

    Southern Asia countries

    Recorded vector-filter · succeeded

  32. 32

    Southern Asia countries

    Recorded output · succeeded

  33. 33

    Earthquakes strictly within Southern Asia countries

    Recorded output · succeeded

  34. 34

    Contributing earthquake points

    Recorded output · succeeded

  35. 35

    South Asia earthquake heatmap

    Recorded output · succeeded

  36. 36

    South Asia earthquake heatmap

    Recorded output · succeeded

  37. 37

    Country boundary source

    Recorded source · succeeded

  38. 38

    Earthquake snapshot source

    Recorded source · succeeded

  39. 39

    Earthquake snapshot source

    Recorded output · succeeded

  40. 40

    Country boundary source

    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 saved analysis context, the source schemas, and which raster/vector tools are available so I can build the heatmap the way you specified.

  2. get_map_context

    Recorded tool call · completed

  3. get_analysis

    Recorded tool call · completed

  4. get_collection

    Recorded tool call · completed

  5. get_collection

    Recorded tool call · completed

  6. Progress update

    I found the two supplied snapshots. Next I’m inspecting their actual fields so I can select Southern Asia correctly and keep the original point rows with benchmark_row_id intact.

  7. get_collection

    Recorded tool call · completed

  8. get_collection

    Recorded tool call · completed

  9. list_processors

    Recorded tool call · completed

  10. get_tool_help

    Recorded tool call · completed

  11. Progress update

    I found a purpose-built point-density processor that matches your declared grid-and-Gaussian heatmap method, but I still need to confirm its exact inputs and how it reports omitted points before I save the workflow.

  12. describe_processors

    Recorded tool call · completed

  13. describe_processors

    Recorded tool call · completed

  14. describe_processors

    Recorded tool call · completed

  15. get_tool_help

    Recorded tool call · completed

  16. describe_processors

    Recorded tool call · completed

  17. Progress update

    The supplied metadata doesn’t expose live columns, so I’m running a tiny pass-through preparation to inspect the actual point and boundary fields before I lock in the filter and weight fields.

  18. update_analysis_brief

    Recorded tool call · completed

  19. get_tool_help

    Recorded tool call · completed

  20. run_trial

    Recorded tool call · completed

  21. Progress update

    I confirmed the key source fields from the supplied snapshots. Next I’m testing the actual South Asia selection and heatmap computation so I can verify the counts and output raster before I save the production workflow.

  22. assess_trial

    Recorded tool call · completed

  23. Progress update

    I’ve confirmed the field names. Now I’m running the full South Asia method privately so I can inspect the selected countries, the contributing points, and the heatmap summary before I publish anything to the map.

  24. run_trial

    Recorded tool call · completed

  25. Progress update

    The full method worked on the requested scope, but I found one delivery issue: the join renamed the point `benchmark_row_id` field because the country layer has the same field name. I’m checking whether Blue has a safe field-selection or rename step so the kept point artifact matches your requested field exactly.

  26. list_processors

    Recorded tool call · completed

  27. Progress update

    I found a likely fix for the renamed row ID: use the country polygons in a form that does not carry their own `benchmark_row_id`, then rerun the strict-within join. I’m inspecting that dissolve step now before I commit the final workflow.

  28. describe_processors

    Recorded tool call · completed

  29. get_tool_help

    Recorded tool call · completed

  30. describe_processors

    Recorded tool call · completed

  31. run_trial

    Recorded tool call · completed

  32. Progress update

    The private run confirmed the geography, counts, grid, and smoothing. I’m recording one real limitation before I fix it: the join copied the country row ID too, so the point artifact’s row ID became suffixed instead of staying `benchmark_row_id`.

  33. assess_trial

    Recorded tool call · completed

  34. assess_trial

    Recorded tool call · completed

  35. Progress update

    I’ve ruled out the dissolve fix. Now I’m testing an aggregate-style strict-within join, which should keep the original point fields and still produce the same 36 contributing earthquakes and the same heatmap.

  36. run_trial

    Recorded tool call · completed

  37. Progress update

    I’ve got a working correction: the aggregate strict-within join keeps the original point `benchmark_row_id` field and preserves the same 36 contributing earthquakes and the same heatmap. I’m saving that tested method as the production workflow now, then I’ll run it, add the raster to the map, and attach the final answer object.

  38. assess_trial

    Recorded tool call · completed

  39. get_analysis

    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

    I’ve saved the successful correction in the trial history. Next I’m binding the tested computation to the requested result with an explicit source-and-method contract, so the final run uses the exact South Asia selection, point artifact, and heatmap settings we just verified.

  44. get_tool_help

    Recorded tool call · completed

  45. get_tool_help

    Recorded tool call · completed

  46. get_tool_help

    Recorded tool call · completed

  47. get_tool_help

    Recorded tool call · completed

  48. get_tool_help

    Recorded tool call · completed

  49. Progress update

    I’ve now confirmed the exact corrected method. I’m updating the brief so the remaining notes match the evidence we have, instead of the older “not yet inspected” setup notes.

  50. update_analysis_brief

    Recorded tool call · completed

  51. Progress update

    I’ve got the tested computation ready. I’m saving it as the production run with the exact grid, strict-within rule, nonnegative-mag filter, and the separate point-selection deliverable.

  52. propose_workflow

    Recorded tool call · completed

  53. Progress update

    The saved workflow is structurally ready. The only remaining gate is the earlier failed join attempt, so I’m recording how the aggregate strict-within trial resolved both of those earlier findings for this exact proposal.

  54. assess_plan

    Recorded tool call · completed

  55. execute_workflow

    Recorded tool call · completed

  56. Progress update

    The method is now supported for the saved workflow. I’m starting the final run and will inspect its outputs before adding the heatmap to the map.

  57. Progress update

    The workflow finished. I’m inspecting the final outputs now so I can verify the saved artifacts, final counts, and the exact map layer binding before I close this out.

  58. inspect_workflow_results

    Recorded tool call · completed

  59. list_map_layers

    Recorded tool call · completed

  60. inspect_artifact

    Recorded tool call · completed

  61. inspect_artifact

    Recorded tool call · completed

  62. inspect_artifact

    Recorded tool call · completed

  63. Progress update

    I’ve got the final artifacts and layer. I’m checking the exact `assess_result` input shape now so I attach the selected heatmap and point artifact correctly instead of guessing the artifact reference format.

  64. get_tool_help

    Recorded tool call · completed

  65. inspect_artifact

    Recorded tool call · completed

  66. inspect_artifact

    Recorded tool call · completed

  67. inspect_artifact

    Recorded tool call · completed

  68. Progress update

    I’ve finished the checks. I’m recording the final result now with the selected heatmap raster, the inspected contributing-point artifact, and the final answer object you asked for.

  69. assess_result

    Recorded tool call · completed

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