Visualize regional economic patterns using GDP per capita
The question
861416Visualize regional economic patterns using GDP per capita.
Exact submitted task and declared adaptations
Visualize regional economic patterns using GDP per capita.
Task conventions: Use the frozen country polygons and World Bank NY.GDP.PCAP.CD 2023 column, in current USD per capita. 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": "GDP per capita",
"edition": "Frozen WDI; current US dollars by year",
"units": {
"2023": "current USD per capita",
"2020": "current USD per capita",
"2022": "current USD per capita"
},
"collectionId": "blue-generated--[resource id withheld]",
"itemId": "[resource id withheld]",
"assetKey": "data"
}
]Outcome & verification
Independent artifact and delivery checks passed.
- Duration
- 13m 44s
- Recorded Blue tool calls
- 54
- Total tokens
- 1,838,273
- Model cost
- Not recorded
- Application revision
- d50497ea9084f29c91b05406688f87035df98d8a
- Release
- terra-geobenchx-v1
Recorded final answer
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
- 186
- Reported count
- 186
- Computation verified
- Yes
- Answer fulfilled
- Yes
Full grading and rubric record
{
"expectedCount": 186,
"actualCount": 186,
"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
Does an exact global left join from ISO_A3 to Country Code preserve all 251 country features and produce a valid quantile choropleth with unknowns kept separate?
assess_trial · completed · assessment: sufficient
The global left join preserved all 251 supplied country polygons and benchmark_row_id values. Exact ISO_A3 to Country Code matching produced 217 joined features and 34 unmatched features; the final 2023 field has 65 unknown values in total, so 186 countries have known numeric GDP per capita. Quantile classification produced six class codes overall: class 0 for No data plus five quantitative classes over the known values, with counts 37, 37, 37, 37 and 38.
assess_result · completed · assessment: sufficient
Published the final country choropleth to map layer [resource id withheld]. The final artifact retains all 251 supplied country features and benchmark_row_id values. Exact ISO_A3 to Country Code left joining produced 217 matched country features and 34 unmatched features; together with matched rows that have missing 2023 values, 65 countries remain No data and 186 countries have known 2023 GDP per capita values. The choropleth uses five quantile classes over known values with a separate No data class 0. The class breaks are 1969.86648107793, 5344.21439437871, 12016.907421906 and 32163.5114152484 current USD per capita.
Recorded workflow
- 01
classify gdp
Recorded vector-classify · succeeded
- 02
GDP per capita 2023 choropleth
Recorded output · succeeded
- 03
join gdp
Recorded table-attribute-join · succeeded
- 04
blue-generated--[resource id withheld]
Recorded source · succeeded
- 05
blue-generated--[resource id withheld]
Recorded source · succeeded
- 06
classify gdp
Recorded vector-classify · succeeded
- 07
join gdp
Recorded table-attribute-join · succeeded
- 08
blue-generated--[resource id withheld]
Recorded source · succeeded
- 09
blue-generated--[resource id withheld]
Recorded source · succeeded
- 10
classify gdp
Recorded output · succeeded
Activity
Recorded actionsRecorded 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.
Progress update
I’ll build the country choropleth from the two supplied frozen inputs, test the exact join and class rules first, then deliver the final map layer and inspectable artifact.
get_analysis
Recorded tool call · completed
get_tool_help
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get_tool_help
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get_collection
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get_collection
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get_item
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get_item
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get_tool_help
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get_tool_help
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list_processors
Recorded tool call · completed
Progress update
I found the frozen country and GDP inputs. Next I’m checking their actual fields and the available join/classify processors so I can keep every country, preserve unknowns, and match the exact 2023 GDP column.
describe_processors
Recorded tool call · completed
describe_processors
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update_analysis_brief
Recorded tool call · completed
Progress update
I have the exact source fields and processors. Now I’m running one full-world private test so I can verify the join counts, unknown handling, and the quantile classes before I save the final map workflow.
get_tool_help
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get_tool_help
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get_tool_help
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get_tool_help
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get_tool_help
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get_tool_help
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get_tool_help
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get_tool_help
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get_tool_help
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run_trial
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get_trial_report
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inspect_artifact
Recorded tool call · completed
Progress update
The join test already covered the full world, so I’m reusing that exact tested method for the final workflow. I’m checking the classified output details now so I can confirm the field names, class values, and unknown handling before I publish it to the map.
inspect_artifact
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inspect_artifact
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Progress update
The global test output is ready. I’m pulling the exact field details and sample rows now, then I’ll save and run the final map workflow from this tested method instead of rebuilding it.
inspect_artifact
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inspect_artifact
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Progress update
I verified the output keeps all 251 country features, with 217 exact code matches and 65 unknown GDP values after the join. I’m pulling the per-class ranges now so the final layer’s legend description matches the actual quantile output.
inspect_artifact
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inspect_artifact
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inspect_artifact
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inspect_artifact
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inspect_artifact
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inspect_artifact
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Progress update
I’ve confirmed the tested method already preserves all countries and keeps unknown GDP values separate. Before I publish it, I’m saving that exact tested computation as the final workflow with the fixed join and quantile settings from your benchmark instructions.
get_tool_help
Recorded tool call · completed
get_tool_help
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Progress update
I have the finished class inspections queued, so I’m collecting the exact value ranges for each legend class now. Then I’ll mark the test as sufficient and publish the same tested output as the final map layer.
inspect_artifact
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inspect_artifact
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inspect_artifact
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inspect_artifact
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inspect_artifact
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inspect_artifact
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Progress update
The test answered the main method question: the exact join and quantile classification work on the full requested world extent. I’m recording that result now, then I’ll publish the same tested output as the final workflow.
assess_trial
Recorded tool call · completed
Progress update
The publication workflow uses the same tested join and classification settings as the successful trial. After it validates, I’ll run it once, bind its output to the map, and then verify the final artifact and layer ID.
propose_workflow
Recorded tool call · completed
execute_workflow
Recorded tool call · completed
get_workflow_run
Recorded tool call · completed
inspect_workflow_results
Recorded tool call · completed
Progress update
The saved production run completed in the background. I’m inspecting its final output now, then I’ll add that verified country layer to the map and record the exact artifact and layer ID in the final result.
Progress update
The map layer is already bound to the map as layer `[resource id withheld]`. I’m reading the final artifact itself now so the accepted answer uses the published output’s exact selection, counts, and legend evidence.
inspect_artifact
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inspect_artifact
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inspect_artifact
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Progress update
I’ve got the final published artifact and the class-break summary. I’m doing one last preview check on the delivered layer itself so the accepted result uses the exact published selection and confirms all 251 country features are present.
inspect_artifact
Recorded tool call · completed
list_map_layers
Recorded tool call · completed
Progress update
I’ve verified the published output itself: all 251 country features are retained, 186 have known 2023 values, 65 are No data, and the layer is live on the map. I’m recording that final result now with the exact artifact selection and layer ID.
assess_result
Recorded tool call · completed