Research/Terra/ 714649
Task evidence / country-choropleth

Map absolute forest area distribution globally

PassComputational taskUnpublished draft
Download evidence JSON ↓

The question

714649
Map absolute forest area distribution globally.
Exact submitted task and declared adaptations
Map absolute forest area distribution globally. 

Task conventions: Use the frozen country polygons and World Bank AG.LND.FRST.K2 2021 column, in 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 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.K2",
    "edition": "Frozen GeoBenchX World Development Indicators; use 2021",
    "units": {
      "2021": "km\u00b2"
    },
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  }
]

Outcome & verification

Independent artifact and delivery checks passed.

Duration
22m 50s
Recorded Blue tool calls
58
Total tokens
3,218,966
Model cost
Not recorded
Application revision
d50497ea9084f29c91b05406688f87035df98d8a
Release
terra-geobenchx-v1

Recorded final answer

Done — the country choropleth is on your map. It shows frozen World Bank forest area for 2021 in km² by country, with five quantile classes over the 215 known values and a separate No data class for 36 countries. The legend breaks are 379.52, 7,877.48, 32,682.12, and 148,024.72 km², so values at a break go into the upper class. Main limitation: this is a country-level indicator map, not a subnational forest surface, and 36 supplied country features remain No data because the exact join or the frozen 2021 value is unknown. Sources: Benchmark fixture · World Bank country boundaries and Benchmark fixture · World Bank AG.LND.FRST.K2, Blue-hosted frozen inputs retrieved 2026-10-07. ### Limitations - This is a country-level 2021 indicator map, not a subnational forest surface or a new regional aggregation. - Thirty-six supplied country features remain No data because the exact ISO_A3 join or the frozen 2021 value is unknown in the supplied inputs. - Thirty-six supplied country features remain No data because 34 exact ISO_A3 codes did not join to the frozen table and 2 matched countries have no frozen 2021 value. - The quantile legend is computed from the 215 known 2021 country values only. - Two matched countries still have no frozen 2021 value.

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 · completed

Do the supplied frozen boundary and forest-area inputs expose the exact fields needed for an ISO_A3 to Country Code left join and 2021 km² classification?

assess_trial · completed · assessment: sufficient

The supplied boundary artifact exposes ISO_A3, benchmark_row_id and geometry for 251 country features. The supplied frozen World Bank table exposes Country Code and a numeric 2021 field for 266 rows. That is sufficient to proceed with the required exact ISO_A3-to-Country Code left join and 2021 km² classification. The earlier expectation of a table benchmark_row_id was stricter than necessary for this requested output.

run_trial · completed

Does the full global method keep every supplied country polygon, join the frozen 2021 forest-area values by exact ISO_A3 to Country Code, and produce a quantile choropleth with a separate No data class?

run_trial · completed

What are the actual class counts and numeric min/max bounds for each forest_area_class in the classified global draft output?

assess_trial · completed · assessment: sufficient

The full global draft method answered the method question. The left join retained all 251 supplied country polygons and their benchmark_row_id values. Producer observations report 217 matched input features and 34 unmatched input features for the exact ISO_A3 to Country Code join. The joined output has 36 null 2021 values, showing that unmatched identifiers and missing 2021 measurements stayed unknown rather than becoming zero. The classified output also retains 251 features and adds forest_area_class with distinct classes 0 through 5, where class 0 is the No data category and classes 1 through 5 cover the known numeric values.

assess_trial · completed · assessment: sufficient

The class summary answered the legend question. Class 0 contains 36 countries with unknown 2021 values. Known values are split into five equal quantile classes of 43 countries each. The observed class bounds are: class 1 = 0.0 to 345.2 km², class 2 = 388.1 to 7860.2 km², class 3 = 7889.0 to 32420.0 km², class 4 = 33075.3 to 147189.9 km², and class 5 = 151364.0 to 8153116.0 km².

assess_result · completed · assessment: sufficient

The delivered artifact retains all 251 supplied country features and benchmark_row_id values, joins the frozen World Bank AG.LND.FRST.K2 2021 field exactly by ISO_A3 to Country Code, keeps 36 countries as No data instead of zero, and publishes a five-quantile country choropleth on the map as layer [resource id withheld]. The final artifact has 215 known numeric 2021 values and 36 unknowns. The classifier summary reports five quantile classes for known values, 36 No data countries, km² units, and legend breaks at 379.52, 7877.48, 32682.12, and 148024.72.

Recorded workflow

  1. 01

    Classify 2021 forest area

    Recorded vector-classify · succeeded

  2. 02

    Supplied country polygons

    Recorded source · succeeded

  3. 03

    Global forest area by country (2021 choropleth)

    Recorded output · succeeded

  4. 04

    Supplied forest area table

    Recorded source · succeeded

  5. 05

    Join 2021 forest area by ISO code

    Recorded table-attribute-join · succeeded

  6. 06

    Classified forest-area draft

    Recorded source · succeeded

  7. 07

    Summarize class bounds

    Recorded table-group-statistics · succeeded

  8. 08

    Summarize class bounds

    Recorded output · succeeded

  9. 09

    Classify 2021 forest area

    Recorded vector-classify · succeeded

  10. 10

    Supplied country polygons

    Recorded source · succeeded

  11. 11

    Supplied forest area table

    Recorded source · succeeded

  12. 12

    Join 2021 forest area by ISO code

    Recorded table-attribute-join · succeeded

  13. 13

    Join 2021 forest area by ISO code

    Recorded output · succeeded

  14. 14

    Classify 2021 forest area

    Recorded output · succeeded

  15. 15

    Supplied country polygons

    Recorded source · succeeded

  16. 16

    Supplied forest area table

    Recorded source · succeeded

  17. 17

    Supplied country polygons

    Recorded output · succeeded

  18. 18

    Supplied forest area table

    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 supplied country layer and frozen 2021 forest-area table first, then I’ll test the join and quantile classification on a private draft before I save the production workflow.

  2. get_analysis

    Recorded tool call · completed

  3. get_map_context

    Recorded tool call · completed

  4. Progress update

    I’ve recovered the map context. Next I’m recording the goal and acceptance checks, then I’ll inspect the two supplied frozen inputs so I can test the exact ISO join and quantile rules without swapping in any live replacement data.

  5. update_analysis_brief

    Recorded tool call · completed

  6. get_collection

    Recorded tool call · completed

  7. get_collection

    Recorded tool call · completed

  8. Progress update

    I confirmed both inputs are the frozen supplied items. Now I’m reading their actual field names and sample rows so I can lock the exact join keys and the 2021 numeric column before I build the workflow.

  9. inspect_artifact

    Recorded tool call · failed

  10. inspect_artifact

    Recorded tool call · failed

  11. list_items

    Recorded tool call · completed

  12. list_items

    Recorded tool call · completed

  13. get_tool_help

    Recorded tool call · completed

  14. get_tool_help

    Recorded tool call · completed

  15. list_processors

    Recorded tool call · completed

  16. list_processors

    Recorded tool call · completed

  17. list_processors

    Recorded tool call · completed

  18. list_processors

    Recorded tool call · completed

  19. describe_processors

    Recorded tool call · completed

  20. Progress update

    I found the key processors: a table join that can keep all polygons with a left join, and a vector classifier that already handles quantiles, upper-inclusive breaks, repeated-break collapse, and a separate No data class. I’m running a tiny source-only draft now to verify the exact field names before I wire the production workflow.

  21. run_trial

    Recorded tool call · completed

  22. Progress update

    The first draft succeeded and showed the supplied country layer has 251 features and the frozen forest-area table has 266 country rows. I still need the exact 2021 and benchmark fields from the table, so I’m inspecting those specific columns and then I’ll test the full join-plus-quantile output before I save the production workflow.

  23. inspect_artifact

    Recorded tool call · completed

  24. inspect_artifact

    Recorded tool call · completed

  25. Progress update

    The country source inspection finished, but the table row request failed. I’m checking the exact field list on the frozen table first, then I’ll retry the row sample with only declared fields and move on to the full join test.

  26. inspect_artifact

    Recorded tool call · completed

  27. inspect_artifact

    Recorded tool call · completed

  28. inspect_artifact

    Recorded tool call · completed

  29. inspect_artifact

    Recorded tool call · completed

  30. Progress update

    I’m resuming from the finished draft inspections. Next I’m reading the exact table schema and a small row sample so I can lock the 2021 value field and complete the full join-and-classification test.

  31. Progress update

    I’ve confirmed the table really has a numeric `2021` field and the country layer has `ISO_A3` plus `benchmark_row_id`. I’m sampling the 2021 rows now, then I’ll run the representative global join-and-quantile draft and inspect the actual output counts and classes.

  32. get_trial_report

    Recorded tool call · completed

  33. inspect_artifact

    Recorded tool call · completed

  34. Progress update

    I’ve locked the exact join fields. Now I’m reading a small 2021 sample and the join/classify output will be my next check, because that draft has to prove three things before I save the final workflow: all 251 country features are kept, unknowns stay separate from zero, and the quantile classes are actually produced on the joined values.

  35. inspect_artifact

    Recorded tool call · completed

  36. assess_trial

    Recorded tool call · completed

  37. run_trial

    Recorded tool call · completed

  38. Progress update

    The method draft succeeded. It kept all 251 country polygons, left 36 countries as unknown instead of zero, and produced a `forest_area_class` field with class 0 for No data and classes 1–5 for known values. I’m checking the class distribution and then I’ll save the exact tested workflow as the production run and bind its final layer to the map.

  39. list_processors

    Recorded tool call · completed

  40. inspect_artifact

    Recorded tool call · completed

  41. Progress update

    I want the exact legend ranges before I publish the workflow, so I’m checking whether I can read the class counts and min/max per class directly from the draft output instead of inferring them.

  42. inspect_artifact

    Recorded tool call · completed

  43. describe_processors

    Recorded tool call · completed

  44. Progress update

    I’m resuming from the finished draft inspection. I need one last evidence check before I publish: the exact class ranges behind the legend. Then I’ll save the tested workflow, run it, bind the final layer to the map, and verify the delivered artifact.

  45. describe_processors

    Recorded tool call · completed

  46. inspect_artifact

    Recorded tool call · completed

  47. Progress update

    I can compute the legend ranges directly from the classified draft, so I’m doing that now instead of guessing break values from percentiles. After that I’ll save the exact tested workflow as the production run.

  48. run_trial

    Recorded tool call · completed

  49. assess_trial

    Recorded tool call · completed

  50. Progress update

    The tested method is now recorded as sufficient. I’m running one small summary on that classified draft to read the exact class counts and class bounds, so the final legend text matches the delivered map exactly.

  51. Progress update

    I’m reading the full class summary now so I can carry the exact legend bounds into the delivered result, not a rounded guess. After that I’ll save the tested workflow and run the final map layer.

  52. inspect_artifact

    Recorded tool call · completed

  53. get_trial_report

    Recorded tool call · completed

  54. inspect_artifact

    Recorded tool call · completed

  55. get_tool_help

    Recorded tool call · completed

  56. get_tool_help

    Recorded tool call · completed

  57. get_tool_help

    Recorded tool call · completed

  58. Progress update

    I have enough evidence to save the production workflow now. I’m reading the saved-workflow schema and the exact class-summary rows together so I can carry the tested computation forward without changing its scope or methods.

  59. Progress update

    The draft is complete enough to promote. I’m pulling the exact proposal fields now so I can save the tested workflow cleanly, with the final choropleth output selected as the deliverable and the fixed join/class rules recorded in the contract.

  60. assess_trial

    Recorded tool call · completed

  61. get_tool_help

    Recorded tool call · completed

  62. get_tool_help

    Recorded tool call · completed

  63. get_tool_help

    Recorded tool call · completed

  64. get_tool_help

    Recorded tool call · completed

  65. get_tool_help

    Recorded tool call · completed

  66. get_tool_help

    Recorded tool call · completed

  67. get_tool_help

    Recorded tool call · completed

  68. Progress update

    I’ve got the top-level proposal pieces. I’m fetching the exact requirement and parameter-contract shapes next so I can save one clean production proposal instead of guessing the contract syntax.

  69. Progress update

    I’ve finished the method development. Next I’m saving the exact tested computation as the production workflow, with the fixed ISO join and five-quantile rules pinned so the final run cannot drift to another year or a different class scheme.

  70. propose_workflow

    Recorded tool call · completed

  71. Progress update

    The production workflow is saved and validated. Next I’m executing that exact tested computation, then I’ll inspect the final artifact and add the verified choropleth layer to the map.

  72. execute_workflow

    Recorded tool call · completed

  73. Progress update

    The production run appears to have finished in the background. I’m inspecting its exact outputs now, then I’ll bind the verified choropleth artifact to the map and record the final result object with the delivered layer ID.

  74. Progress update

    The saved workflow already ran to completion, so I’m not resubmitting it. I’m inspecting its final output receipt now to capture the delivered artifact identity and the exact node I need to bind to the map.

  75. inspect_workflow_results

    Recorded tool call · completed

  76. Progress update

    I’ve confirmed the final workflow delivered one country artifact with 251 features and it already added that artifact to the map as layer `[resource id withheld]`. I’m doing the last bounded inspection on that final artifact now so I can record the final counts and answer object against the delivered result, not the earlier draft.

  77. Progress update

    I’ve got the final artifact identity and layer ID. I’m reading the delivered country rows and the processor’s summary output together now, so the final assessment uses the published artifact’s own counts and legend details.

  78. inspect_artifact

    Recorded tool call · completed

  79. inspect_artifact

    Recorded tool call · completed

  80. inspect_artifact

    Recorded tool call · completed

  81. Progress update

    The final layer is already on the map. I’m pulling the published artifact’s own preview now, then I’ll record the final counts, legend, and delivered layer ID against that exact artifact.

  82. Progress update

    I’ve finished the analysis. I’m refreshing the brief notes now so the final handoff reflects the delivered map and the real remaining limitation, not the earlier setup checks.

  83. update_analysis_brief

    Recorded tool call · completed

  84. Progress update

    I’ve finished the final checks. I’m recording the accepted result now with the delivered artifact, the published map layer ID, and the required answer object.

  85. assess_result

    Recorded tool call · completed

|||

© 2026 Exia Labs, Inc.