Research/Terra/ 702872
Task evidence / map-series

Make a series of maps with share of forest covered areas in countries of South Asia in 2005, 2015 and the last available year.

PassComputational taskUnpublished draft
Download evidence JSON ↓

The question

702872
Make a series of maps with share of forest covered areas in countries of South Asia in 2005, 2015 and the last available year.
Exact submitted task and declared adaptations
Make a series of maps with share of forest covered areas in countries of South Asia in 2005, 2015 and the last available year.

Task conventions: Use the frozen WDI AG.LND.FRST.ZS columns 2005, 2015 and 2021, each percent of land area. Last available year means 2021 in this frozen source, not a live replacement. Retain original country features with SUBREGION=Southern Asia and join ISO_A3 to Country Code exactly. Keep unmatched or missing measurements as unknown, not zero, and preserve benchmark_row_id and original geometry. Produce three separate quantitative maps, one per year. For each year independently use five quantile classes, fewer only for collapsed ties, upper class on equality, and a separate neutral No data category. Each legend must show numeric bounds and units; disclose that per-year class boundaries differ so equal colors do not imply equal percentages across years. This freezes the reference solution years and regional membership; no country may be dropped because its measurement is missing.



Add all three maps and retain their inspectable data artifacts. End with one fenced JSON object: {count: number of delivered year maps, unknown_count: total missing country-year measurements across all three panels, coverage_note: string, selection: artifact identity for the 2005 panel, panels: [{year: string, count: known country features, unknown_count: unknown country features, selection: {collectionId,itemId,assetKey}, value_field: numeric field, class_field: class field, map_layer_id: actual layer ID}]}. Give one panel for each required year and explain the observed changes without claiming comparability of different per-year colors.

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
18m 27s
Recorded Blue tool calls
65
Total tokens
2,774,974
Model cost
Not recorded
Application revision
d50497ea9084f29c91b05406688f87035df98d8a
Release
terra-geobenchx-v1

Recorded final answer

Done — I added the three South Asia forest-share maps for 2005, 2015, and 2021, with inspectable country data for all 9 benchmark Southern Asia countries and no missing country-year values in this frozen subset. Across the percentages, Bhutan, India, and Iran increase; Pakistan declines; Nepal rises then levels off; Sri Lanka is roughly flat; Bangladesh edges down slightly; Afghanistan and Maldives stay flat. Important limit: each panel uses different quantile breaks, so compare the numeric percentages across years, not the colors. ### Limitations - Per-year quantile class breaks differ, so the same color across different year panels does not imply the same forest-share percentage. - Per-year quantile breaks differ, so compare the numeric percentages rather than the colors across years. - Southern Asia membership follows the supplied benchmark SUBREGION definition exactly. - Last available year is fixed to 2021 in this frozen WDI source. - This follows the supplied benchmark SUBREGION membership exactly, which may differ from other regional definitions. - The values are frozen WDI percentages from the supplied source. Last available year is fixed to 2021 here, not a live replacement. - Per-year quantile breaks differ, so the same color across different year panels does not imply the same percentage.

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
3
Reported count
3
Computation verified
Yes
Answer fulfilled
Yes
Full grading and rubric record
{
  "expectedCount": 3,
  "actualCount": 3,
  "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 boundary and frozen WDI files expose the exact fields needed for SUBREGION filtering, ISO_A3 to Country Code joining, and year columns 2005, 2015, and 2021?

assess_trial · completed · assessment: sufficient

The supplied boundary snapshot exposes SUBREGION, ISO_A3, NAME_EN, benchmark_row_id, and valid country geometry. Filtering SUBREGION='Southern Asia' returns 9 countries with distinct ISO_A3 codes: AFG, BGD, BTN, IND, IRN, LKA, MDV, NPL, and PAK. The supplied frozen WDI snapshot exposes Country Code plus numeric year columns 2005, 2015, and 2021. Those same 9 country codes are present in the WDI table, so the intended ISO_A3 to Country Code join key is supported by the supplied files.

run_trial · completed

Does the full South Asia workflow preserve all nine original country features after the left join and create separate 2005, 2015, and 2021 quantile choropleths with independent No data handling?

assess_trial · completed · assessment: sufficient

The full requested South Asia method ran successfully at the production study extent. The vector filter kept 9 country features with SUBREGION='Southern Asia' and preserved benchmark_row_id and geometry. The left join matched ISO_A3 to Country Code for all 9 features, with producer observations reporting matchedInputFeatures=9 and unmatchedInputFeatures=0. The joined output keeps the requested year fields 2005, 2015, and 2021, and all three have nullCount=0 for these 9 country records. Each year-specific classified output preserves the same 9 features, keeps the numeric year field with units '% of land area', and adds a separate class field: class_2005, class_2015, and class_2021. All three class fields use five classes with values 1 through 5 and no dropped features.

assess_result · completed · assessment: sufficient

The final workflow delivered three separate South Asia country maps for 2005, 2015, and 2021 and added all three to the current map. All 9 benchmark Southern Asia countries are present in every panel with retained benchmark_row_id and original geometry. The final join output reports ISO_A3 to Country Code with 9 matched input features and 0 unmatched features. Each panel has 9 known values and 0 unknown values. The final class summaries confirm five quantile classes in every year, percent-of-land-area units, distinct per-year break sets, and a reserved class 0 for No data that is unused here because no country-year values are missing.

Recorded workflow

  1. 01

    Supplied country boundaries

    Recorded source · succeeded

  2. 02

    Classify 2005 forest share

    Recorded vector-classify · succeeded

  3. 03

    Classify 2015 forest share

    Recorded vector-classify · succeeded

  4. 04

    Classify 2021 forest share

    Recorded vector-classify · succeeded

  5. 05

    South Asia forest share 2005

    Recorded output · succeeded

  6. 06

    South Asia forest share 2015

    Recorded output · succeeded

  7. 07

    South Asia forest share 2021

    Recorded output · succeeded

  8. 08

    Supplied frozen WDI forest share

    Recorded source · succeeded

  9. 09

    Join frozen forest-share values

    Recorded table-attribute-join · succeeded

  10. 10

    Keep Southern Asia countries

    Recorded vector-filter · succeeded

  11. 11

    Supplied country boundaries

    Recorded source · succeeded

  12. 12

    Classify 2005 forest share

    Recorded vector-classify · succeeded

  13. 13

    Classify 2015 forest share

    Recorded vector-classify · succeeded

  14. 14

    Classify 2021 forest share

    Recorded vector-classify · succeeded

  15. 15

    Supplied frozen WDI forest share

    Recorded source · succeeded

  16. 16

    Join frozen forest-share values

    Recorded table-attribute-join · succeeded

  17. 17

    Keep Southern Asia countries

    Recorded vector-filter · succeeded

  18. 18

    Join frozen forest-share values

    Recorded output · succeeded

  19. 19

    Classify 2005 forest share

    Recorded output · succeeded

  20. 20

    Classify 2015 forest share

    Recorded output · succeeded

  21. 21

    Classify 2021 forest share

    Recorded output · succeeded

  22. 22

    Supplied country boundaries

    Recorded source · succeeded

  23. 23

    Supplied country boundaries

    Recorded output · succeeded

  24. 24

    Supplied frozen WDI forest share

    Recorded output · succeeded

  25. 25

    Supplied frozen WDI forest share

    Recorded source · 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 this from the two supplied frozen sources, test the join/classing on a small private slice first, then save the full three-panel method and add the final layers.

  2. get_analysis

    Recorded tool call · completed

  3. get_collection

    Recorded tool call · completed

  4. get_collection

    Recorded tool call · completed

  5. inspect_artifact

    Recorded tool call · failed

  6. inspect_artifact

    Recorded tool call · failed

  7. Progress update

    I’ve confirmed the two supplied sources are fixed benchmark files. Next I’m checking their actual field names and a few sample rows so I can join exactly on ISO_A3 ↔ Country Code and keep missing values as unknown.

  8. list_processors

    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. get_tool_help

    Recorded tool call · completed

  13. get_tool_help

    Recorded tool call · completed

  14. describe_processors

    Recorded tool call · completed

  15. list_items

    Recorded tool call · completed

  16. list_items

    Recorded tool call · completed

  17. Progress update

    I found the processors I need: filter the country file, join the frozen WDI table, and classify each year into quantiles. The remaining uncertainty is the exact field schema inside the two parquet files, so I’m testing the actual join and classing path now instead of guessing column names.

  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. get_tool_help

    Recorded tool call · completed

  22. get_tool_help

    Recorded tool call · completed

  23. get_tool_help

    Recorded tool call · completed

  24. get_tool_help

    Recorded tool call · completed

  25. get_tool_help

    Recorded tool call · completed

  26. get_tool_help

    Recorded tool call · completed

  27. get_tool_help

    Recorded tool call · failed

  28. update_analysis_brief

    Recorded tool call · completed

  29. run_trial

    Recorded tool call · completed

  30. Progress update

    I confirmed the boundary file has the key geography fields, and the WDI table has the year columns through at least 2019. I still need one tighter check for the exact 2021 column and a few sample rows, then I’ll test the real South Asia join and classing path.

  31. inspect_artifact

    Recorded tool call · completed

  32. get_trial_report

    Recorded tool call · completed

  33. inspect_artifact

    Recorded tool call · completed

  34. Progress update

    I’ve finished the source check in the background. Next I’m reading a few exact South Asia rows and then I’ll test the real filter → join → classify method on the requested years.

  35. inspect_artifact

    Recorded tool call · completed

  36. inspect_artifact

    Recorded tool call · completed

  37. Progress update

    The source check is now confirmed: the boundary file has 9 Southern Asia countries with unique ISO_A3 and benchmark_row_id, and the frozen WDI table has Country Code plus 2005, 2015, and 2021 for those same codes. I’m moving on to a private end-to-end test of the actual join and year-by-year quantile maps.

  38. assess_trial

    Recorded tool call · completed

  39. run_trial

    Recorded tool call · completed

  40. Progress update

    The end-to-end trial succeeded: the left join kept all 9 Southern Asia countries, and each year produced a separate classified map output. I’m now checking the exact rows and class outputs so I can save the final workflow cleanly and add the three real map layers.

  41. inspect_artifact

    Recorded tool call · completed

  42. inspect_artifact

    Recorded tool call · completed

  43. inspect_artifact

    Recorded tool call · completed

  44. inspect_artifact

    Recorded tool call · completed

  45. Progress update

    The method is holding up: the full-area trial kept all 9 countries and matched all 9 WDI rows. I’m pulling the exact joined table and the three classified previews now so I can confirm the final artifacts before I publish them to the map.

  46. inspect_artifact

    Recorded tool call · completed

  47. inspect_artifact

    Recorded tool call · completed

  48. inspect_artifact

    Recorded tool call · completed

  49. inspect_artifact

    Recorded tool call · completed

  50. get_tool_help

    Recorded tool call · completed

  51. get_tool_help

    Recorded tool call · completed

  52. get_tool_help

    Recorded tool call · completed

  53. Progress update

    The checked output is clean: all 9 countries are still present, all 9 join keys match exactly, and each year produced five quantile classes with no dropped features. I’m recording that test, then I’ll save the final three-panel workflow and bind the actual map layers.

  54. assess_trial

    Recorded tool call · completed

  55. get_tool_help

    Recorded tool call · completed

  56. get_tool_help

    Recorded tool call · completed

  57. Progress update

    I’ve now tested the exact method the final maps need. I’m saving that tested computation as the workflow draft, with the three year panels as the final deliverables, so I can add the verified outputs to the map instead of relying on private trial outputs.

  58. propose_workflow

    Recorded tool call · completed

  59. Progress update

    I’ve saved the tested method as a valid workflow draft. Before I run it, I’m cleaning up the brief so it reflects what’s now confirmed: 9 benchmark Southern Asia countries, exact ISO_A3 ↔ Country Code joins, and separate year panels with different within-year quantile breaks.

  60. update_analysis_brief

    Recorded tool call · completed

  61. revise_workflow

    Recorded tool call · completed

  62. execute_workflow

    Recorded tool call · completed

  63. Progress update

    The final workflow finished in the background and created the three deliverables. I’m inspecting those exact production outputs now, then I’ll add them to the map and record the final answer object with the real layer IDs.

  64. inspect_workflow_results

    Recorded tool call · completed

  65. Progress update

    I’ve got the final production artifacts and real layer IDs. I’m doing the last check on the delivered panels themselves, including the class summaries, so the final answer object cites the finished outputs rather than the earlier trial copies.

  66. inspect_artifact

    Recorded tool call · completed

  67. inspect_artifact

    Recorded tool call · completed

  68. inspect_artifact

    Recorded tool call · completed

  69. inspect_artifact

    Recorded tool call · completed

  70. inspect_artifact

    Recorded tool call · completed

  71. inspect_artifact

    Recorded tool call · completed

  72. list_map_layers

    Recorded tool call · completed

  73. get_tool_help

    Recorded tool call · completed

  74. get_tool_help

    Recorded tool call · completed

  75. Progress update

    I’ve confirmed the production class summaries too: each panel has 9 known country records, 0 missing country-year values, five quantile classes, and distinct break sets for 2005, 2015, and 2021. I’m making the final assessment now with the exact delivered artifacts and the layer IDs that were already bound to the map.

  76. inspect_artifact

    Recorded tool call · completed

  77. inspect_artifact

    Recorded tool call · completed

  78. inspect_artifact

    Recorded tool call · completed

  79. assess_result

    Recorded tool call · completed

|||

© 2026 Exia Labs, Inc.