Generate a heatmap of USA population density and overlay it with current wildfire locations.
The question
345106Generate a heatmap of USA population density and overlay it with current wildfire locations.
Exact submitted task and declared adaptations
Generate a heatmap of USA population density and overlay it with current wildfire locations.
Task conventions: Use the full original USA WorldPop 2020 count raster, band 1, and archived NIFC incident snapshot with latest ModifiedOn 2024-02-27. Active wildfires means supplied feed records with IncidentTy=WF, excluding prescribed burns RX; this is historical, not today's fire status. Convert nonnegative people-per-cell counts to people/km² by each original cell's full WGS84 ellipsoidal meridian/parallel surface area. Apply original scale/offset, keep native grid and missing/nonfinite mask, and genuine zeros. Do not approximate every cell as 1 km². Heatmap here means a continuous quantitative density raster, not a new smoothing kernel over population. Overlay every original selected wildfire point, retaining geometry and IDs; do not claim contemporaneous exposure or affected population from 2020 population and 2024 incidents. Use all supplied raster coverage including Alaska/Hawaii/islands; no mainland-only crop or resampling. Add density and fire layers to the same map. End with the stated JSON contract: count is wildfire features displayed, unknown_count is original masked/nonfinite raster cells.
Deliver the two map layers and retain inspectable source or unchanged-result identities. End with one fenced JSON: {count: number of railway features displayed, unknown_count: masked or nonfinite density cells, coverage_note: string, selection:{collectionId,itemId,assetKey} for density, map_layer_id: density layer ID, overlay:{selection:{collectionId,itemId,assetKey},map_layer_id: railway layer ID}}. Explain what the overlay shows and its historical/coverage limits. A source layer can be used directly; no needless calculation is required.
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": "USA population count, WorldPop 2020",
"edition": "2020 UN-adjusted population counts aggregated to 1 km cells",
"units": {
"band1": "people per cell"
},
"collectionId": "blue-generated--[resource id withheld]",
"itemId": "[resource id withheld]",
"assetKey": "data"
},
{
"name": "Frozen US fire incident locations and recorded sizes",
"edition": "Frozen GeoBenchX archive; not a current active-fire feed",
"units": {
"IncidentSi": "acres"
},
"collectionId": "blue-generated--[resource id withheld]",
"itemId": "[resource id withheld]",
"assetKey": "data"
}
]Outcome & verification
Independent artifact and delivery checks passed.
- Duration
- 20m 52s
- Recorded Blue tool calls
- 57
- Total tokens
- 3,508,597
- 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
- 254
- Reported count
- 254
- Computation verified
- Yes
- Answer fulfilled
- Yes
Full grading and rubric record
{
"expectedCount": 254,
"actualCount": 254,
"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 source outputs expose the exact raster band and incident fields needed for the requested density conversion and wildfire filter?
assess_trial · completed · assessment: sufficient
The supplied population source is a geographic EPSG:4326 raster with band 1 present, documented as people per cell, nodata -99999, and native 0.0083333333 degree resolution across the supplied USA extent. The supplied incident source is a point dataset with 633 records and includes IncidentTy, ModifiedOn, benchmark_row_id, OBJECTID, and IrwinID fields; its observed ModifiedOn maximum is 2024-02-27 and IncidentTy contains both RX and WF values, so the requested historical wildfire selection is testable.
run_trial · completed
Does the requested method preserve the native raster behavior on a representative population subset and correctly select only archived wildfire points while keeping their IDs and geometry?
assess_trial · completed · assessment: sufficient
On the representative western subset, the density conversion preserved the clipped raster CRS and native 0.0083333333 degree resolution and kept the exact masked and missing count unchanged at 689262 cells, with minimum remaining 0.0 and units reported as people/km2. The wildfire filter returned 254 records, all with IncidentTy=WF, and retained benchmark_row_id, OBJECTID, IrwinID, ModifiedOn, and point geometry, so the requested selection method is suitable for the full archived overlay.
assess_result · failed · requested assessment: sufficient
I delivered the requested map layers on the current map: a continuous USA population-density raster derived from the supplied WorldPop 2020 count raster on its native grid, and an archived wildfire-only point overlay from the supplied frozen incident snapshot. The density summary reports 15,849,306 valid cells and 255,418,150 masked or nonfinite cells, and the wildfire overlay displays 254 WF points. Source evidence: supplied WorldPop 2020 count raster, Blue-hosted immutable input, retrieved 2026-10-07T07:11:38Z; supplied archived NIFC incident snapshot, Blue-hosted immutable input, retrieved 2026-10-07T07:11:49Z.
assess_result · failed · requested assessment: sufficient
I delivered the requested map layers on the current map: a continuous USA population-density raster derived from the supplied WorldPop 2020 count raster on its native grid, and an archived wildfire-only point overlay from the supplied frozen incident snapshot. The density summary reports 15,849,306 valid cells and 255,418,150 masked or nonfinite cells, and the wildfire overlay displays 254 WF points. Source evidence: supplied WorldPop 2020 count raster, Blue-hosted immutable input, retrieved 2026-10-07T07:11:38Z; supplied archived NIFC incident snapshot, Blue-hosted immutable input, retrieved 2026-10-07T07:11:49Z.
assess_result · completed · assessment: sufficient
I delivered the requested map layers on the current map: a continuous USA population-density raster derived from the supplied WorldPop 2020 count raster on its native grid, and an archived wildfire-only point overlay from the supplied frozen incident snapshot. The density summary reports 15,849,306 valid cells and 255,418,150 masked or nonfinite cells, and the wildfire overlay displays 254 WF points. Source evidence: supplied WorldPop 2020 count raster, Blue-hosted immutable input, retrieved 2026-10-07T07:11:38Z; supplied archived NIFC incident snapshot, Blue-hosted immutable input, retrieved 2026-10-07T07:11:49Z.
Recorded workflow
- 01
USA population density heatmap
Recorded output · succeeded
- 02
Archived wildfire point overlay
Recorded output · succeeded
- 03
Population density
Recorded raster-count-density · succeeded
- 04
WorldPop 2020 count raster
Recorded source · succeeded
- 05
Archived wildfire-only points
Recorded source · succeeded
- 06
Density conversion
Recorded raster-count-density · succeeded
- 07
Density stats
Recorded raster-statistics · succeeded
- 08
Archived fire source
Recorded source · succeeded
- 09
Representative raster clip
Recorded spatial-clip · succeeded
- 10
WorldPop source
Recorded source · succeeded
- 11
Clipped count stats
Recorded raster-statistics · succeeded
- 12
Clipped count stats
Recorded output · succeeded
- 13
Density conversion
Recorded output · succeeded
- 14
Density stats
Recorded output · succeeded
- 15
Wildfire-only filter
Recorded output · succeeded
- 16
Wildfire-only filter
Recorded vector-filter · succeeded
- 17
Archived fire source
Recorded source · succeeded
- 18
WorldPop source
Recorded source · succeeded
- 19
WorldPop source
Recorded output · succeeded
- 20
Archived fire source
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 set up a small analysis brief, inspect the two supplied sources, then test the density conversion and fire filtering before I save the production workflow.
Progress update
I found the source and trial tools. Next I’m checking the exact source metadata and the map-layer tools, then I’ll test the density conversion on a small USA subset before I save the full run.
list_processors
Recorded tool call · completed
get_map_context
Recorded tool call · completed
get_analysis
Recorded tool call · completed
get_collection
Recorded tool call · completed
get_collection
Recorded tool call · completed
list_processors
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
Progress update
I’ve confirmed the supplied sources exist and I found the exact density-conversion processor designed for this count-to-density job. Now I’m inspecting band/field details so I can test the method and avoid guessing any schema or filter names.
update_analysis_brief
Recorded tool call · completed
describe_processors
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
inspect_artifact
Recorded tool call · failed
inspect_artifact
Recorded tool call · failed
Progress update
The direct source inspect tool only works on workflow or trial outputs, so I’m switching to a small source-backed trial. That will let me verify the raster band details and the incident fields before I build the full run.
get_tool_help
Recorded tool call · completed
describe_processors
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
Progress update
I have the exact processor contracts. Now I’m running a tiny source-backed check so I can read the real band and field schema instead of guessing from the collection descriptions.
run_trial
Recorded tool call · completed
Progress update
The source check finished. I’m reading the saved report and one deeper field sample now, so I can confirm the wildfire filter fields before I run the full USA density conversion.
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
get_trial_report
Recorded tool call · completed
Progress update
I’ve verified the raster is the supplied native EPSG:4326 grid and the fire source is a point layer with 633 archived incidents. I’m pulling the exact field sample now, then I’ll run one representative density-and-filter trial before I save the full USA workflow.
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
assess_trial
Recorded tool call · completed
describe_processors
Recorded tool call · completed
get_analysis
Recorded tool call · completed
Progress update
I’ve confirmed the fire snapshot really has `ModifiedOn`, `IncidentTy`, and stable IDs, and the population raster band is documented as people per cell. I’m checking the safest way to clip a small test area so the next trial verifies the actual density conversion and wildfire filter without guessing any source-step behavior.
run_trial
Recorded tool call · completed
get_trial_report
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
Progress update
I’ve already proved the method on a representative clip and confirmed the full wildfire filter output exists. Next I’m turning that into the saved production run, then I’ll inspect the finished full-USA density result and add both final layers to the map.
Progress update
I’ve got the exact filtered wildfire output identity already, so I can reuse that unchanged rather than recomputing it. I’m recording the tested method and fixed settings now, then I’ll run the full-USA density output and bind both final layers on the map.
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
assess_trial
Recorded tool call · completed
propose_workflow
Recorded tool call · completed
Progress update
The full production workflow is saved and valid. I’m launching it now, then I’ll inspect the finished density raster, add the density and wildfire layers to the map, and record the final counts and identities.
execute_workflow
Recorded tool call · completed
Progress update
The run appears to have completed in the background, so I’m inspecting the exact finished outputs now. Then I’ll add both verified layers to the map and record the final layer IDs and counts.
Progress update
I’ve reached the finished workflow stage. Now I’m collecting the exact output identities and the full raster unknown-cell count, then I’ll add the verified density and wildfire layers and lock in the final map layer IDs.
list_map_layers
Recorded tool call · completed
inspect_workflow_results
Recorded tool call · completed
Progress update
The map already shows both finished layer names, so I’m only missing the exact output receipts and the density unknown-cell count for the final record. I’m pulling those now from the completed workflow so I can finish with the verified layer identities, not guesses.
Progress update
I have the live layer IDs already. I’m doing one last bounded inspection of the completed workflow so the final record uses the exact output artifacts and the full raster missing-cell count from the finished result.
inspect_workflow_results
Recorded tool call · completed
get_workflow
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
Progress update
I have the exact final artifact identities and both live layer IDs. I’m doing one final bounded read of the finished density output so the unknown-cell count comes from the completed raster itself, not from a rough fraction.
Progress update
I have the finished density summary with the exact missing-cell count now. I’m grabbing the final density raster receipt and one bounded check on the final wildfire overlay so the result record uses the completed workflow outputs end to end.
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
Progress update
I already have both live layer IDs and the finished density summary. I’m only refreshing the final wildfire overlay receipt now so the final assessment cites the exact displayed artifact, then I’ll record the finished result.
inspect_artifact
Recorded tool call · completed
Progress update
I have all final evidence now: the density raster is the finished native-grid output, the wildfire overlay is the finished `WF` point layer, both are on the map, and the density summary reports the exact missing-cell count. I’m refreshing the brief notes and then recording the final assessed result with the explicit artifact and layer identities.
update_analysis_brief
Recorded tool call · completed
Progress update
I’ve verified the final density artifact, the final wildfire artifact, the exact missing-cell count, and both live map bindings. I’m recording the accepted result now with the explicit selection objects and map layer IDs the user asked for.
assess_result
Recorded tool call · failed
Progress update
The result check asked for the exact recorded acceptance-condition wording, so I’m resubmitting the same evidence against those exact conditions now.
assess_result
Recorded tool call · failed
Progress update
The final check needs spatial previews for both final layers alongside the values, so I’m pulling those now and then I’ll immediately record the accepted result.
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
Progress update
I have both preview jobs back. I’m converting them into final receipts now, then I’ll file the accepted result with the exact map layer IDs and source identities.
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
Progress update
I’ve got the final preview receipts for both displayed layers now. I’m filing the accepted result with those exact finished artifacts and the map layer bindings.
assess_result
Recorded tool call · completed