Research/Terra/ 960622
Task evidence / country-choropleth

Create a world map showing forest area as percentage of land area by country

PassComputational taskUnpublished draft
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The question

960622
Create a world map showing forest area as percentage of land area by country.
Exact submitted task and declared adaptations
Create a world map showing forest area as percentage of land area by country.

Task conventions: Use the frozen country polygons and World Bank AG.LND.FRST.ZS 2021 column, in % of land area. 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 and 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.



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 AG.LND.FRST.ZS",
    "edition": "Frozen GeoBenchX World Development Indicators; use 2021",
    "units": {
      "2021": "% of land area"
    },
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  }
]

Outcome & verification

Independent artifact and delivery checks passed.

Duration
12m 22s
Recorded Blue tool calls
48
Total tokens
2,200,176
Model cost
Not recorded
Application revision
d50497ea9084f29c91b05406688f87035df98d8a
Release
terra-geobenchx-v1

Recorded final answer

Done — I added the country layer to your map. It shows forest area in 2021 as % of land area, using the supplied frozen World Bank country polygons and frozen World Bank AG.LND.FRST.ZS table. It keeps all 251 country features; 215 have known values and 36 stay as No data. Legend: five quantile classes with breaks at 8.6668, 21.8812, 35.8435, and 53.0105 % of land area, plus a separate neutral No data class. Real zero values stay numeric, not No data. Main limits: this is a country-level 2021 indicator, not a subnational surface or a new regional aggregation, and 36 countries remain unknown because the exact join did not yield a usable 2021 value. Source: supplied immutable GeoBenchX World Bank country boundaries and frozen GeoBenchX World Development Indicators AG.LND.FRST.ZS 2021, hosted by Blue and retrieved on 2026-10-07. ### Limitations - This is a country-level 2021 indicator, not a subnational surface or new regional aggregation. - The geometry is limited to the supplied frozen country polygons. - Countries with a nonmatching code or missing 2021 value remain No data rather than zero. - 36 countries remain No data because the exact join did not produce a usable 2021 numeric value. - The country layer is fixed to the supplied frozen boundaries. - This uses the supplied frozen 2021 country indicator only and does not substitute another year or fill missing values. - Known values are classified by quantiles from the supplied 2021 data; repeated quantiles would reduce class count only if ties collapse breaks.

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
215
Reported count
215
Computation verified
Yes
Answer fulfilled
Yes
Full grading and rubric record
{
  "expectedCount": 215,
  "actualCount": 215,
  "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 · failed

Does a full-world left join from ISO_A3 to Country Code preserve every supplied country and yield the required 2021 quantile choropleth with a separate No data category?

run_trial · completed

Does a full-world left join from ISO_A3 to Country Code preserve every supplied country and yield the required 2021 quantile choropleth with a separate No data category?

assess_trial · completed · assessment: sufficient

The trial answered the method question. The left join preserved all 251 supplied country features and benchmark_row_id values. Producer observations reported 217 matched features and 34 unmatched features, while the joined 2021 field had 215 known numeric values and 36 nulls, so unknown countries stayed explicit instead of being dropped or filled with zero. The classifier produced five quantile classes plus class 0 for missing data, with breaks at 8.666785230538968, 21.881152063324766, 35.84345222772528, and 53.01045708047918 in % of land area. Sampled records showed the requested fields benchmark_row_id, ISO_A3, Country Code, 2021, and forest_class on the retained country geometry.

assess_result · completed · assessment: sufficient

Created the requested world country choropleth and added it to the map. The delivered artifact keeps all 251 supplied country features and benchmark_row_id values, carries the numeric 2021 field and forest_class field, and maps 215 known values while keeping 36 countries as No data. The legend uses five quantile classes with numeric bounds at 8.6668, 21.8812, 35.8435, and 53.0105 % of land area, plus a separate No data category. The main remaining limitation is scientific rather than procedural: this is a country-level 2021 indicator on the supplied frozen country polygons, so it is not a subnational surface or new regional aggregation, and 36 countries remain unknown because the exact join did not produce a usable 2021 numeric value.

Recorded workflow

  1. 01

    Classify 2021 forest percentage

    Recorded vector-classify · succeeded

  2. 02

    Frozen country polygons

    Recorded source · succeeded

  3. 03

    Forest area as % of land area by country (2021)

    Recorded output · succeeded

  4. 04

    Frozen World Bank forest indicator table

    Recorded source · succeeded

  5. 05

    Join 2021 forest percentage to countries

    Recorded table-attribute-join · succeeded

  6. 06

    Classify 2021 forest percentage

    Recorded vector-classify · succeeded

  7. 07

    Frozen country polygons

    Recorded source · succeeded

  8. 08

    Frozen World Bank forest indicator table

    Recorded source · succeeded

  9. 09

    Join 2021 forest percentage to countries

    Recorded table-attribute-join · succeeded

  10. 10

    Join 2021 forest percentage to countries

    Recorded output · succeeded

  11. 11

    Classify 2021 forest percentage

    Recorded output · succeeded

  12. 12

    Classify 2021 forest percentage

    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 inspect the supplied country and indicator inputs, test the join and quantile classification on a small private run, then save the full method and add the finished country layer to your map.

  2. get_analysis

    Recorded tool call · completed

  3. Progress update

    I’ve confirmed this is a fresh analysis. Next I’m checking the exact field names and file selections on the supplied country polygons and 2021 indicator table so I can test the join and class rules without guessing.

  4. update_analysis_brief

    Recorded tool call · completed

  5. get_collection

    Recorded tool call · completed

  6. get_collection

    Recorded tool call · completed

  7. get_item

    Recorded tool call · completed

  8. get_item

    Recorded tool call · completed

  9. list_processors

    Recorded tool call · completed

  10. list_processors

    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. describe_processors

    Recorded tool call · completed

  16. describe_processors

    Recorded tool call · completed

  17. get_tool_help

    Recorded tool call · completed

  18. get_tool_help

    Recorded tool call · completed

  19. Progress update

    I found the right processors: a left table join that preserves all countries, and a vector classifier that already supports quantiles, upper-bound break handling, real legends, and a separate No data class. I’m getting the exact workflow syntax now, then I’ll run a small vertical-slice test before saving the full map method.

  20. get_tool_help

    Recorded tool call · completed

  21. get_tool_help

    Recorded tool call · completed

  22. get_tool_help

    Recorded tool call · completed

  23. describe_processors

    Recorded tool call · completed

  24. run_trial

    Recorded tool call · failed

  25. Progress update

    The first trial was rejected because the saved study extent used string coordinates instead of numeric bounds. I’m correcting that exact argument and retrying the same global test.

  26. update_analysis_brief

    Recorded tool call · completed

  27. run_trial

    Recorded tool call · completed

  28. Progress update

    The test succeeded. It kept all 251 country features, found 215 known 2021 values and 36 unknowns, and produced five quantile classes plus a distinct No data class. I’m doing one final inspection on the classified output, then I’ll save and run the production workflow from this tested method and bind the final layer to your map.

  29. get_trial_report

    Recorded tool call · completed

  30. inspect_artifact

    Recorded tool call · completed

  31. Progress update

    I’ve finished the private method test. Next I’m recording that trial, saving the tested full-world workflow as the deliverable draft, then I’ll run it, inspect the final artifact, and bind the finished layer to your map.

  32. inspect_artifact

    Recorded tool call · completed

  33. assess_trial

    Recorded tool call · completed

  34. get_tool_help

    Recorded tool call · completed

  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. Progress update

    I’ve got the tested full-world method. I’m saving that exact computation as the final workflow now, with the fixed join keys, 2021 field, and five-quantile classification locked in so the production run cannot drift from your benchmark rules.

  41. propose_workflow

    Recorded tool call · completed

  42. Progress update

    The saved draft caught a bookkeeping mistake, not a method problem: my fixed-parameter paths were nested one level too deep. I’m correcting those exact paths and revalidating the same tested workflow.

  43. propose_workflow

    Recorded tool call · completed

  44. execute_workflow

    Recorded tool call · completed

  45. Progress update

    The production workflow finished in the background. I’m inspecting the final outputs now, then I’ll add the verified country layer to your map and record the final answer object against that exact artifact.

  46. inspect_workflow_results

    Recorded tool call · completed

  47. Progress update

    I have the final generated country artifact and its map-layer receipt. I’m checking the delivered values, class field, legend summary, and active layer binding one last time before recording the final result.

  48. inspect_artifact

    Recorded tool call · completed

  49. inspect_artifact

    Recorded tool call · completed

  50. list_map_layers

    Recorded tool call · completed

  51. inspect_artifact

    Recorded tool call · completed

  52. inspect_artifact

    Recorded tool call · completed

  53. list_map_layers

    Recorded tool call · completed

  54. inspect_artifact

    Recorded tool call · completed

  55. inspect_artifact

    Recorded tool call · completed

  56. inspect_artifact

    Recorded tool call · completed

  57. Progress update

    I’m fetching the last small check now: a few unknown countries from the finished layer, to confirm they stay in the No data class rather than being treated as zero.

  58. inspect_artifact

    Recorded tool call · completed

  59. Progress update

    I’ve verified the finished country artifact, its legend summary, real zero examples, unknown-country examples, and the delivered map layer binding. I’m recording the final result now against that exact output.

  60. assess_result

    Recorded tool call · completed

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