Research/Terra/ 946748
Task evidence / country-choropleth

Map population density in Southern Asian nations

PassComputational taskUnpublished draft
Download evidence JSON ↓

The question

946748
Map population density in Southern Asian nations
Exact submitted task and declared adaptations
Map population density in Southern Asian nations

Task conventions: Use the frozen country polygons and World Bank SP.POP.TOTL 2023 population column in people; derived map units are people/km². These are country-level indicators, not a subnational surface or a new regional aggregation. Join the supplied ISO_A3 to Country Code exactly. Nonmatching identifiers and missing measurements remain unknown; do not guess them or substitute another year. Retain every original country feature in the declared geography and its benchmark_row_id, including unknowns. No data must have a distinct map category, not zero. Create a quantitative choropleth with five quantile classes (fewer only if tied values collapse breaks), a visible legend with numeric bounds and units, and a neutral No data category. Values equal to a class break enter the upper class. Preserve negative and genuine zero values. This fixed classification and year are disclosed evaluation conventions; do not retrieve live replacements. Count original boundary features, not deduplicated sovereign states; preserve all source rows that meet the declared geography. Country-code sentinels such as -99 remain unmatched. Geography is fixed to original country features with SUBREGION in ["Southern Asia"]; retain all matching source geometries, and no others. Classification is calculated only over this geography. Membership reflects this disclosed benchmark edition, not current organization membership.Derive population density as the declared year's total population divided by the complete supplied country area in km². Some countries have several original features sharing ISO_A3: sum their original polygon areas once per ISO_A3, and assign that same country density to every corresponding original feature. Do not divide a full country population by each separate fragment. Unmatched placeholder codes remain unknown. Measure WGS84 ellipsoidal area using shortest geodesic edges between original vertices, subtracting holes and summing polygon parts. Longitude roundoff up to 1e-8 degrees at ±180 is tolerated; this does not move or replace the source geometry. This is population per supplied country-geometry area, NOT an official land-only density or subnational raster. Preserve all original features. Missing population, invalid/empty geometry, nonpositive area, or polygon rings spanning more than 180 degrees after longitude unwrapping remain unknown. Do not silently repair geometry, substitute current boundaries, or drop unknown countries. 



Add the resulting quantitative country layer to the map and retain an inspectable data artifact containing the original country geometry, benchmark_row_id, numeric value and class. End with one fenced JSON object: {count: countries with a known numeric value, unknown_count: countries without one, coverage_note: string, selection: {collectionId, itemId, assetKey}, value_field: numeric_column_name, class_field: classification_column_name, map_layer_id: delivered_layer_id}. The artifact must include known AND unknown countries, not only the known subset. Explain the year, units, key limitations and legend in the final response.

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": "World Bank country boundaries",
    "edition": "GeoBenchX harmonized names",
    "units": {},
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  },
  {
    "name": "World Bank SP.POP.TOTL",
    "edition": "Frozen GeoBenchX World Development Indicators; use 2023",
    "units": {
      "2023": "people"
    },
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  }
]

Outcome & verification

Independent artifact and delivery checks passed.

Duration
15m 1s
Recorded Blue tool calls
40
Total tokens
1,966,388
Model cost
Not recorded
Application revision
d50497ea9084f29c91b05406688f87035df98d8a
Release
terra-geobenchx-v1

Recorded final answer

Done — the 2023 Southern Asia population-density layer is on the map. It shows 9 benchmark country features, all with known values in people/km². Legend: 5 quantile classes, with breaks at 61.45, 223.12, 321.04, and 783.42 people/km². A separate No data category is included, but none of the 9 features use it. Key limits: this uses the supplied benchmark Southern Asia membership and supplied country geometry, not current boundaries; density is population divided by supplied country-geometry area, not official land-only density or a subnational surface. Sources: Blue-hosted benchmark fixtures from World Bank country boundaries and frozen World Development Indicators SP.POP.TOTL 2023, retrieved 2026-10-07. ### Limitations - This uses the supplied benchmark edition of Southern Asia membership and geometry, not current boundaries or current organization membership. - Density is population per supplied country-geometry area in km², not official land-only density or a subnational population surface.

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
9
Reported count
9
Computation verified
Yes
Answer fulfilled
Yes
Full grading and rubric record
{
  "expectedCount": 9,
  "actualCount": 9,
  "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 Southern Asia boundary rows support the exact join, geodesic area aggregation by ISO_A3, 2023 density calculation, and quantile classification while preserving every original row and unknowns?

assess_trial · completed · assessment: sufficient

The trial retained 9 source rows with SUBREGION='Southern Asia', preserved benchmark_row_id, measured positive geodesic km² area for every retained row, aggregated one country-area total per ISO_A3, joined all 9 rows exactly from ISO_A3 to Country Code using the frozen 2023 population column, and produced 9 known density values with density_class values 1-5 and no unknown rows in this benchmark geography.

assess_result · completed · assessment: sufficient

The delivered choropleth contains 9 retained benchmark Southern Asia country features, 9 known 2023 population-density values in people/km², density_class values 1-5, and 0 unknown rows. The final class summary reports five quantile classes with breaks at 61.44923780220872, 223.12204193691952, 321.03976257718585, and 783.4169133431911 people/km², and the derived layer is available on the current map as 'Southern Asia population density choropleth'.

Recorded workflow

  1. 01

    Supplied country boundaries

    Recorded source · succeeded

  2. 02

    Create quantile choropleth classes

    Recorded vector-classify · succeeded

  3. 03

    Southern Asia population density choropleth

    Recorded output · succeeded

  4. 04

    Calculate population density

    Recorded vector-field-calculate · succeeded

  5. 05

    Aggregate area by ISO_A3

    Recorded table-group-statistics · succeeded

  6. 06

    Supplied frozen WDI population

    Recorded source · succeeded

  7. 07

    Measure original polygon area

    Recorded vector-measure · succeeded

  8. 08

    Keep Southern Asia rows

    Recorded vector-filter · succeeded

  9. 09

    Join aggregated area back to original rows

    Recorded table-attribute-join · succeeded

  10. 10

    Join frozen 2023 population

    Recorded table-attribute-join · succeeded

  11. 11

    Supplied country boundaries

    Recorded source · succeeded

  12. 12

    Create quantile choropleth classes

    Recorded vector-classify · succeeded

  13. 13

    Calculate population density

    Recorded vector-field-calculate · succeeded

  14. 14

    Aggregate area by ISO_A3

    Recorded table-group-statistics · succeeded

  15. 15

    Supplied frozen WDI population

    Recorded source · succeeded

  16. 16

    Measure original polygon area

    Recorded vector-measure · succeeded

  17. 17

    Keep Southern Asia rows

    Recorded vector-filter · succeeded

  18. 18

    Join aggregated area back to original rows

    Recorded table-attribute-join · succeeded

  19. 19

    Join frozen 2023 population

    Recorded table-attribute-join · succeeded

  20. 20

    Keep Southern Asia rows

    Recorded output · succeeded

  21. 21

    Aggregate area by ISO_A3

    Recorded output · succeeded

  22. 22

    Join frozen 2023 population

    Recorded output · succeeded

  23. 23

    Create quantile choropleth classes

    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’ll build the Southern Asia country-density choropleth from your frozen boundary and 2023 population inputs, first checking the source fields and a small private join-and-density trial, then I’ll save the full workflow and add the finished layer.

  2. get_collection

    Recorded tool call · completed

  3. get_collection

    Recorded tool call · completed

  4. get_analysis

    Recorded tool call · completed

  5. Progress update

    I’ve got the Blue analysis tools. Next I’m checking the retained analysis context and the exact source fields so the join, area rule, and fixed Southern Asia filter use the supplied inputs as written.

  6. Progress update

    I’ve confirmed there isn’t a saved analysis yet. Now I’m reading the supplied item schemas and the available join/area/classification processors so I can test the declared method with the exact fields rather than guessing.

  7. inspect_artifact

    Recorded tool call · failed

  8. list_processors

    Recorded tool call · completed

  9. inspect_artifact

    Recorded tool call · failed

  10. get_item

    Recorded tool call · completed

  11. get_item

    Recorded tool call · completed

  12. Progress update

    I found the likely processor set: filter the supplied boundary rows to Southern Asia, measure geodesic area on those original polygons, aggregate area by ISO_A3, join the frozen 2023 population table, calculate density, then classify the finished country values. I’m reading the exact schemas now so the trial matches the processors’ real contracts.

  13. describe_processors

    Recorded tool call · completed

  14. describe_processors

    Recorded tool call · completed

  15. get_tool_help

    Recorded tool call · completed

  16. update_analysis_brief

    Recorded tool call · completed

  17. describe_processors

    Recorded tool call · completed

  18. get_tool_help

    Recorded tool call · completed

  19. Progress update

    I’ve got the exact processor contracts. The key uncertainty now is practical: whether the fixed Southern Asia source rows all measure cleanly and whether the exact ISO_A3→Country Code join leaves any unknown countries. I’m running one small private vertical slice on the real geography to observe that before I save the production workflow.

  20. run_trial

    Recorded tool call · completed

  21. Progress update

    The private test finished. Good news: the declared method works on the full Southern Asia benchmark geography as supplied. I’m checking the saved trial output a bit more closely, then I’ll turn that exact tested method into the production workflow, run it, and bind the final layer to the map.

  22. get_trial_report

    Recorded tool call · completed

  23. inspect_artifact

    Recorded tool call · completed

  24. inspect_artifact

    Recorded tool call · completed

  25. Progress update

    I’ve confirmed the test geography: 9 benchmark Southern Asia features, all exact code-joined and all with known 2023 density values in this frozen edition. I’m now turning that tested method into the saved production workflow with the final derived layer and artifact.

  26. get_tool_help

    Recorded tool call · completed

  27. inspect_artifact

    Recorded tool call · completed

  28. assess_trial

    Recorded tool call · completed

  29. get_tool_help

    Recorded tool call · completed

  30. get_tool_help

    Recorded tool call · completed

  31. get_tool_help

    Recorded tool call · completed

  32. get_tool_help

    Recorded tool call · completed

  33. get_tool_help

    Recorded tool call · completed

  34. update_analysis_brief

    Recorded tool call · completed

  35. Progress update

    The method is tested and ready. I’m saving the exact production workflow now, with the derived choropleth as the final deliverable and the benchmark-specific limitations carried forward.

  36. propose_workflow

    Recorded tool call · completed

  37. Progress update

    The draft only needed one bookkeeping fix: the saved contract scope had to match the workflow scope exactly. I’m correcting that now without changing the tested analysis steps.

  38. propose_workflow

    Recorded tool call · completed

  39. execute_workflow

    Recorded tool call · completed

  40. Progress update

    The run finished successfully in the background. I’m inspecting the final output receipt, then I’ll add the verified derived layer to the map and record the final answer object from that exact artifact.

  41. inspect_workflow_results

    Recorded tool call · completed

  42. get_workflow_run

    Recorded tool call · completed

  43. Progress update

    The finished layer is already bound to the map. I’m doing the last evidence check now on the final derived artifact itself, including the value and class fields, so I can record the exact answer object and concise legend notes.

  44. inspect_artifact

    Recorded tool call · completed

  45. inspect_artifact

    Recorded tool call · completed

  46. list_map_layers

    Recorded tool call · completed

  47. Progress update

    I’ve got the final output and class summary. I’m pulling the exact finished preview and current map layer record now so the final assessment points to the verified artifact that’s already on your map.

  48. inspect_artifact

    Recorded tool call · completed

  49. get_tool_help

    Recorded tool call · completed

  50. list_map_layers

    Recorded tool call · completed

  51. Progress update

    I’ve verified the final artifact: 9 retained Southern Asia benchmark features, 9 known density values, 0 unknowns, five quantile classes, and the delivered layer is live on the map. I’m clearing the stale “remaining work” note, then I’ll record the accepted result.

  52. update_analysis_brief

    Recorded tool call · completed

  53. Progress update

    I’ve finished the verification. Next I’m recording the final accepted result from the exact derived artifact and current map layer, including the year, units, class breaks, and the fixed benchmark limitations.

  54. assess_result

    Recorded tool call · completed

|||

© 2026 Exia Labs, Inc.