Research/Terra/ 435973
Task evidence / geographic-heatmap

Generate a heatmap of power station density in regions with water scarcity

FailComputational taskUnpublished draft
Download evidence JSON ↓

The question

435973
Generate a heatmap of power station density in regions with water scarcity
Exact submitted task and declared adaptations
Generate a heatmap of power station density in regions with water scarcity

Task conventions: Use supplied countries with CONTINENT=Africa. Scarcity is the benchmark proxy of WDI ER.H2O.FWTL.ZS 2021 withdrawals at least 100% of internal freshwater resources. Weight stations by DsgAttr02 MW, a capacity-weighted heatmap, not a count or proof of current generation. Use original point records strictly within the original selected country polygons; no clipped polygons, location guesses or current data. Join country ISO_A3 to the supplied indicator table's Country Code exactly. Unknown country indicators, nonpositive ratio denominators, missing geometry and missing/nonfinite weights are unknown, not zero. Known zero weights remain valid. Exclude valid points outside the specified geography. Include only eligible points with a finite nonnegative weight in the contributing artifact; report other potentially eligible points as unknown. Use this explicit geographic heatmap convention: grid={"bounds": [-18000000, -7325000, 18000000, 7325000], "crs": "EPSG:6933", "resolutionX": 25000, "resolutionY": 25000}, radius 150000 metres = three Gaussian standard deviations. First bin each point into its containing grid cell and sum its weight. Smooth using a normalized separable Gaussian, numerical support four standard deviations, constant-zero exterior; do not renormalize edges. Use both grid resolutions for the two axes; keep original grid alignment. This is a declared metric raster adaptation to the original interactive screen-pixel heatmap, not an equivalent zoom-dependent rendering. Output unit: sum of MW per grid cell. Zero cells are valid; this is not density per square kilometre. Do not rescale the values for presentation.



Add the heatmap raster to the map and retain an inspectable selected-point artifact with original geometry and benchmark_row_id. End with one fenced JSON object: {count: contributing point records, unknown_count: records with unknown eligibility or weight, unlocated_count: original points lacking valid geometry, coverage_note: string, selection: {collectionId,itemId,assetKey}, density: {collectionId,itemId,assetKey}, map_layer_id: heatmap_layer_id}. Explain the data edition, numerical weights, grid, smoothing and coverage limitations. The source-point artifact is not itself the requested heatmap.

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": "African power stations",
    "edition": "USGS 2021 frozen compilation",
    "units": {
      "DsgAttr02": "MW"
    },
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  },
  {
    "name": "World Bank country boundaries",
    "edition": "GeoBenchX harmonized names",
    "units": {},
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  },
  {
    "name": "Freshwater withdrawals as percent of internal resources",
    "edition": "Frozen World Development Indicators; use 2021",
    "units": {
      "2021": "percent of internal freshwater resources"
    },
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  }
]

Outcome & verification

Selected feature membership differs from the independent answer.

Duration
32m 17s
Recorded Blue tool calls
78
Total tokens
5,195,759
Model cost
Not recorded
Application revision
d50497ea9084f29c91b05406688f87035df98d8a
Release
terra-geobenchx-v1

Recorded final answer

Done — the heatmap is on your map, and I kept the inspectable selected-point artifact with original geometry and benchmark_row_id. It uses the frozen USGS 2021 power-station compilation, weighted by DsgAttr02 MW, and the frozen WDI 2021 country benchmark on the fixed EPSG:6933 25 km grid with 150 km Gaussian smoothing. It contributed 281 located stations. Three more located stations had unknown MW and stay only in the point artifact. Thirty-one source records lacked usable geometry, and 114 located stations outside the supplied African country polygons were excluded. Main limits: the water-scarcity proxy is country-level 2021, not subnational, and the raster values are smoothed MW per grid cell, not station counts, MW per square kilometre, or proof of current generation. ### Limitations - The heatmap reflects the supplied frozen USGS 2021 power-station compilation weighted by DsgAttr02 MW; it is not proof of current generation. - Water scarcity is benchmarked with the supplied frozen WDI ER.H2O.FWTL.ZS 2021 country-level indicator, so it does not describe subnational water conditions. - The inspectable point artifact contains only located contributing and unknown records with valid geometry; original unlocated records are reported separately. - The result uses the supplied frozen USGS 2021 power-station compilation and frozen WDI ER.H2O.FWTL.ZS 2021 benchmark; it is not proof of current generation or current water stress. - The scarcity proxy is country-level, not subnational, so it cannot show within-country water scarcity differences. - Heatmap values are smoothed MW per grid cell on the fixed 25 km EPSG:6933 grid, not a station count and not MW per square kilometre. - Only located records with valid geometry can appear in the selected-point artifact; 31 original source records lacked usable geometry and are counted separately. - Only located records with valid geometry can appear in this point artifact; 31 original source records lacked usable geometry and are counted separately. - The benchmark is the frozen WDI 2021 country-level indicator, so it does not describe subnational water scarcity. - Uses the supplied GeoBenchX harmonized boundary edition. - The scarcity benchmark is a country-level 2021 WDI value, not a subnational water-scarcity measure. - Missing or nonfinite MW stays unknown and does not contribute; valid zero MW remains eligible. - Output values are MW per grid cell after smoothing on a fixed EPSG:6933 25 km grid; they are not per square kilometre.

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
281
Reported count
281
Computation verified
No
Answer fulfilled
No
Full grading and rubric record
{
  "expectedCount": 281,
  "actualCount": 281,
  "expectedMetrics": null,
  "actualMetrics": null,
  "computationCorrect": false,
  "answerFulfilled": false,
  "adjudication": null,
  "qualification": null,
  "reasons": [
    "Selected feature membership differs from the independent answer."
  ]
}

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

Can the supplied frozen African station, boundary, and WDI inputs produce the requested capacity-weighted heatmap and contributing-point selection using the declared exact join, strict within-country rule, unknown handling, and EPSG:6933 Gaussian heatmap settings?

run_trial · completed

Can the final inspectable point artifact be built by appending the contributing station points and unknown-weight station points while preserving original point geometry and source benchmark row IDs?

run_trial · completed

Can an aggregate spatial join attach country match and water benchmark fields to the original station points while preserving the original station benchmark_row_id field name?

assess_trial · completed · assessment: sufficient

The tested computation answers the heatmap-method question. The exact ISO_A3 to Country Code join produced 52 African country polygons with finite 2021 benchmark values, and filtering at >=100 selected 4 water-scarce countries. The strict within spatial join used original country polygons and original station points: 3034 source records were examined, 3003 had valid geometry for the join, 31 records lacked usable geometry before the join, 114 located points did not fall within an African country polygon and were therefore excluded rather than clipped, and 2889 located points matched a country polygon. After applying the scarcity threshold and finite nonnegative MW rule, 281 points contributed to the heatmap with total input weight 73558.7196 MW; 3 located points in scarce countries had unknown weights, 0 points had unknown country benchmarks, and 0 points had negative weights. The heatmap raster used the declared EPSG:6933 grid exactly: bounds [-18000000,-7325000,18000000,7325000], resolution 25000 m by 25000 m, width 1440, height 586, radius 150000 m, sigmaPixels [2,2], kernel truncation 4 sigma, constant-zero exterior, and output unit sum of MW per grid cell.

assess_trial · completed · assessment: sufficient

The merge trial answers the packaging question. Appending the 281 contributing points and 3 unknown-weight points produced one inspectable point artifact with 284 original point geometries. The merged artifact preserved the point-source row identifiers and weight field values: contributing records retained finite nonnegative mw_clean values, and the 3 unknown records remained identifiable by null mw_clean values. The merge also preserved the original source index for each appended subset.

assess_trial · completed · assessment: sufficient

The aggregate spatial join answers the row-ID naming question. It preserved the original station benchmark_row_id field unsuffixed while adding country_match_count and water_2021_pct to the original station points. The output still contained 3003 located station points, with 31 original source records omitted before the join because they lacked usable geometry. The aggregate join matched 2889 located points to African country polygons and left 114 located points unmatched outside the specified geography, so country_match_count cleanly distinguishes matched from excluded outside-polygon records without clipping geometries.

assess_result · failed · requested assessment: sufficient

The final selected-point artifact is sufficient for record-level inspection. It keeps original point geometry and the original station benchmark_row_id field name, and it preserves the country benchmark and cleaned MW values needed to distinguish contributing from unknown-weight records. The artifact contains 284 located records: 281 contributing points and 3 unknown-weight points.

assess_result · completed · assessment: sufficient

The selected-point artifact is ready for inspection. It preserves original point geometry and the unsuffixed station benchmark_row_id field. It contains the 281 contributing stations plus 3 additional located stations in benchmark countries whose MW weight is unknown. The unlocated source records are counted separately rather than converted into guessed locations.

assess_result · completed · assessment: sufficient

The heatmap is complete and on the map. Using the frozen USGS 2021 power-station compilation and frozen WDI 2021 benchmark, the exact ISO_A3-to-Country Code join matched all 52 supplied African country polygons and 4 countries met the >=100% water-scarcity benchmark. The final heatmap used 281 original located station points with finite nonnegative MW weights, totaling 73558.7196 MW before smoothing. Three additional located stations in benchmark countries had unknown MW and were kept only in the inspectable selected-point artifact, 114 located stations outside the supplied African country polygons were excluded, and 31 source records lacked usable geometry and were counted separately. The raster uses the declared global EPSG:6933 25 km grid, bins MW by cell, and applies the declared Gaussian smoothing with a 150 km radius (sigma 50 km, four-sigma numerical support). Output values remain MW per grid cell after smoothing, with zero cells valid and no presentation rescaling.

Recorded workflow

  1. 01

    African countries

    Recorded vector-filter · succeeded

  2. 02

    African countries with WDI

    Recorded table-attribute-join · succeeded

  3. 03

    Normalized 2021 scarcity field

    Recorded vector-field-calculate · succeeded

  4. 04

    Contributing stations

    Recorded vector-filter · succeeded

  5. 05

    Supplied country boundaries

    Recorded source · succeeded

  6. 06

    Power-station heatmap in water-scarce African countries

    Recorded output · succeeded

  7. 07

    Selected station points

    Recorded output · succeeded

  8. 08

    Capacity-weighted heatmap

    Recorded point-density · succeeded

  9. 09

    Selected points

    Recorded vector-merge · succeeded

  10. 10

    Stations with aggregate country benchmark

    Recorded vector-spatial-join · succeeded

  11. 11

    Supplied African power stations

    Recorded source · succeeded

  12. 12

    Normalized station MW field

    Recorded vector-field-calculate · succeeded

  13. 13

    Unknown-country-benchmark stations

    Recorded vector-filter · skipped

  14. 14

    Unknown-weight stations

    Recorded vector-filter · succeeded

  15. 15

    Supplied WDI withdrawals table

    Recorded source · succeeded

  16. 16

    African countries with water benchmark

    Recorded source · succeeded

  17. 17

    Stations with aggregate country benchmark

    Recorded vector-spatial-join · succeeded

  18. 18

    Supplied African power stations

    Recorded source · succeeded

  19. 19

    Stations with aggregate country benchmark

    Recorded output · succeeded

  20. 20

    Contributing stations from tested trial

    Recorded source · succeeded

  21. 21

    Selected points

    Recorded vector-merge · succeeded

  22. 22

    Selected points

    Recorded output · succeeded

  23. 23

    Selected points

    Recorded output · succeeded

  24. 24

    Unknown-weight stations from tested trial

    Recorded source · succeeded

  25. 25

    African countries

    Recorded vector-filter · succeeded

  26. 26

    African countries with WDI

    Recorded table-attribute-join · succeeded

  27. 27

    Normalized 2021 scarcity field

    Recorded vector-field-calculate · succeeded

  28. 28

    Contributing stations

    Recorded vector-filter · succeeded

  29. 29

    Supplied country boundaries

    Recorded source · succeeded

  30. 30

    Capacity-weighted heatmap

    Recorded point-density · succeeded

  31. 31

    Water-scarce African countries

    Recorded vector-filter · succeeded

  32. 32

    Stations joined to African country benchmarks

    Recorded vector-spatial-join · succeeded

  33. 33

    Supplied African power stations

    Recorded source · succeeded

  34. 34

    Normalized station MW field

    Recorded vector-field-calculate · succeeded

  35. 35

    Normalized 2021 scarcity field

    Recorded output · succeeded

  36. 36

    Capacity-weighted heatmap

    Recorded output · succeeded

  37. 37

    Water-scarce African countries

    Recorded output · succeeded

  38. 38

    Stations joined to African country benchmarks

    Recorded output · succeeded

  39. 39

    Normalized station MW field

    Recorded output · succeeded

  40. 40

    Contributing stations

    Recorded output · succeeded

  41. 41

    Unknown-country-benchmark stations

    Recorded output · succeeded

  42. 42

    Unknown-weight stations

    Recorded output · succeeded

  43. 43

    Negative-weight stations

    Recorded output · succeeded

  44. 44

    Capacity-weighted heatmap

    Recorded output · succeeded

  45. 45

    Unknown-country-benchmark stations

    Recorded vector-filter · succeeded

  46. 46

    Negative-weight stations

    Recorded vector-filter · succeeded

  47. 47

    Unknown-weight stations

    Recorded vector-filter · succeeded

  48. 48

    Supplied WDI withdrawals table

    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 inspect the supplied sources and build a small private test first, so the final heatmap method matches your grid, weighting, and eligibility rules before I submit the production run.

  2. get_analysis

    Recorded tool call · completed

  3. Progress update

    I found the Blue analysis tools. Next I’m checking the three supplied datasets so I can use the exact field names and authorized item selections, then I’ll test the computation on a small private slice before saving the full run.

  4. update_analysis_brief

    Recorded tool call · completed

  5. get_collection

    Recorded tool call · completed

  6. get_collection

    Recorded tool call · completed

  7. get_collection

    Recorded tool call · completed

  8. Progress update

    I’ve confirmed the three immutable supplied collections. Now I’m checking their actual schemas and sample records so I can use the exact field names and preserve the requested benchmark_row_id without guessing.

  9. inspect_artifact

    Recorded tool call · failed

  10. inspect_artifact

    Recorded tool call · failed

  11. inspect_artifact

    Recorded tool call · failed

  12. get_item

    Recorded tool call · completed

  13. get_item

    Recorded tool call · completed

  14. get_item

    Recorded tool call · completed

  15. list_processors

    Recorded tool call · completed

  16. describe_processors

    Recorded tool call · completed

  17. describe_processors

    Recorded tool call · completed

  18. list_processors

    Recorded tool call · completed

  19. Progress update

    I’ve identified the main processor path: filter African countries, join the WDI table, spatially join original station points to those polygons, then use the dedicated point-density processor because its documented kernel behavior matches your declared heatmap convention. I’m checking the exact trial and workflow request formats now so I can test that path without guessing tool syntax.

  20. get_tool_help

    Recorded tool call · completed

  21. get_tool_help

    Recorded tool call · completed

  22. describe_processors

    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 · completed

  28. describe_processors

    Recorded tool call · completed

  29. get_tool_help

    Recorded tool call · completed

  30. Progress update

    I have the exact fields now. I’m running one private end-to-end test on the real supplied inputs and the final global EPSG:6933 grid, so I can verify three things before I save the production workflow: the ISO_A3→Country Code join, strict point-in-polygon selection with original geometries, and the heatmap kernel behavior on the declared grid.

  31. run_trial

    Recorded tool call · completed

  32. Progress update

    The trial request was rejected for a bookkeeping reason, not a data problem: my brief extent used string coordinates instead of an explicit numeric extent. I’m correcting that now and retrying the same end-to-end test.

  33. update_analysis_brief

    Recorded tool call · completed

  34. Progress update

    I’m resuming from the saved brief. The next step is still the private end-to-end test on the real supplied inputs, so I can verify the exact join, strict within-country selection, and declared heatmap kernel before I save the full workflow.

  35. Progress update

    The private test finished successfully. It confirmed the exact country join, strict within-country selection, and the declared grid and Gaussian settings. I’m checking one last preparation step now: how best to package the inspectable point artifact so it keeps original geometry and benchmark_row_id while still reporting unknown points separately from the heatmap contributors.

  36. get_trial_report

    Recorded tool call · completed

  37. describe_processors

    Recorded tool call · completed

  38. describe_processors

    Recorded tool call · completed

  39. Progress update

    The heatmap method itself is confirmed. The remaining design choice is just the inspectable point artifact: I want one clean point layer that still lets you see which records contributed and which stayed unknown, without changing the heatmap inputs. I’m checking the merge contract so I can save that final workflow cleanly instead of improvising field names.

  40. get_tool_help

    Recorded tool call · failed

  41. get_tool_help

    Recorded tool call · completed

  42. get_tool_help

    Recorded tool call · completed

  43. get_tool_help

    Recorded tool call · completed

  44. search_knowledge

    Recorded tool call · completed

  45. search_knowledge

    Recorded tool call · completed

  46. Progress update

    I’ve narrowed the last uncertainty to a small packaging test: merge the 281 contributing points with the 3 unknown-weight points into one inspectable point artifact, without touching the heatmap computation. That lets me verify the final point deliverable before I save and run the production workflow.

  47. run_trial

    Recorded tool call · completed

  48. Progress update

    I confirmed the merged point artifact works and contains 284 inspectable points. The only remaining polish issue is the row-ID field name: the current joined workflow keeps the original station row ID as `benchmark_row_id_target` because the country polygons also have their own benchmark row ID. I’m checking the lightest supported way to expose the station row ID cleanly as `benchmark_row_id` before I save the final run.

  49. list_processors

    Recorded tool call · completed

  50. Progress update

    I found a cleaner route: use an aggregate spatial join so the country benchmark becomes a new point field, instead of copying all country attributes onto the points. That should keep the original station `benchmark_row_id` unsuffixed. I’m testing just that one change before I lock the final workflow.

  51. run_trial

    Recorded tool call · completed

  52. Progress update

    The merge trial finished too. I’m recording both trial judgments now so Blue keeps the tested method and the remaining row-ID naming issue separate.

  53. get_trial_report

    Recorded tool call · completed

  54. assess_trial

    Recorded tool call · completed

  55. assess_trial

    Recorded tool call · completed

  56. Progress update

    The row-ID fix worked: the aggregate join keeps the original station `benchmark_row_id` field name and still carries the country benchmark needed for filtering. I’m saving the production workflow now with that corrected point method and the already-tested heatmap settings.

  57. assess_trial

    Recorded tool call · completed

  58. get_tool_help

    Recorded tool call · completed

  59. get_tool_help

    Recorded tool call · completed

  60. get_analysis

    Recorded tool call · completed

  61. Progress update

    I’ve got enough evidence now: one trial proved the full heatmap math and counts, another proved the merged point artifact, and the last proved the original station row ID can stay as `benchmark_row_id`. I’m saving the production workflow with those tested pieces combined.

  62. propose_workflow

    Recorded tool call · failed

  63. Progress update

    The first save was close. Blue needs one explicit binding in the analysis contract so it knows which final input the exclusion criteria govern. I’m correcting that and resaving the same workflow, not changing the analytical method.

  64. propose_workflow

    Recorded tool call · failed

  65. Progress update

    Blue accepted the workflow shape; it only wants the evidence lineage trimmed to the final heatmap branch for those exclusion requirements. I’m correcting those references and saving the same workflow revision.

  66. propose_workflow

    Recorded tool call · completed

  67. Progress update

    The saved draft is good; the remaining block is only bookkeeping on the fixed-parameter paths inside the contract. I’m correcting those exact paths on the saved draft now.

  68. revise_workflow

    Recorded tool call · completed

  69. Progress update

    I have a runnable saved workflow now. Next I’m checking whether this request already has an active execution on your map; if not, I’ll launch the saved run, inspect the finished artifacts, add the heatmap layer, and then record the final answer object.

  70. execute_workflow

    Recorded tool call · completed

  71. Progress update

    The approved run appears to have finished producing both deliverables. I’m inspecting the saved outputs now so I can verify the raster and point artifact, then I’ll bind the heatmap to the map and record the final result object.

  72. get_workflow_run

    Recorded tool call · completed

  73. inspect_workflow_results

    Recorded tool call · completed

  74. inspect_artifact

    Recorded tool call · completed

  75. inspect_artifact

    Recorded tool call · completed

  76. list_map_layers

    Recorded tool call · completed

  77. Progress update

    I’ve verified the workflow finished and the heatmap was added to the map automatically. I’m doing the final bounded inspection now: one check on the raster values and grid, one on the selected-point artifact fields and counts, and one on the current map layer list so the final answer binds to the live layer.

  78. Progress update

    I’m retrieving the finished inspections now and adding one more check on the joined-point output, so the final counts and field names come from the completed run itself rather than from the earlier private trials.

  79. inspect_artifact

    Recorded tool call · completed

  80. inspect_artifact

    Recorded tool call · completed

  81. inspect_artifact

    Recorded tool call · completed

  82. Progress update

    I have the final raster and point artifact inspections. I’m fetching the completed joined-point summary once so the final counts for unlocated and outside-geography records come from the production run itself, then I’ll record the final result.

  83. inspect_artifact

    Recorded tool call · completed

  84. assess_result

    Recorded tool call · failed

  85. Progress update

    I finished the heatmap and map layer. I’m checking the saved run state and recording the final result against the inspected artifacts now.

  86. get_analysis

    Recorded tool call · completed

  87. get_analysis

    Recorded tool call · completed

  88. get_analysis

    Recorded tool call · completed

  89. get_workflow_run

    Recorded tool call · completed

  90. list_map_layers

    Recorded tool call · completed

  91. Progress update

    I’ve reloaded the saved outputs. Next I’m doing one last bounded inspection of the final raster, the selected points, and the join evidence before I record the accepted result.

  92. inspect_artifact

    Recorded tool call · completed

  93. inspect_artifact

    Recorded tool call · completed

  94. inspect_artifact

    Recorded tool call · completed

  95. inspect_artifact

    Recorded tool call · completed

  96. inspect_artifact

    Recorded tool call · completed

  97. Progress update

    The point inspection finished. I’m pulling the completed inspection receipts now and then I’ll record the final answer object against the exact raster and point artifacts.

  98. Progress update

    The remaining inspections are ready. I’m retrieving the immutable receipts now so the final answer is tied to the exact raster, point selection, and coverage checks.

  99. inspect_artifact

    Recorded tool call · completed

  100. inspect_artifact

    Recorded tool call · completed

  101. inspect_artifact

    Recorded tool call · completed

  102. inspect_artifact

    Recorded tool call · completed

  103. inspect_artifact

    Recorded tool call · completed

  104. Progress update

    I’ve got the final receipts. I’m recording the selected-point artifact first, then the heatmap answer object that Blue will attach to the final result.

  105. assess_result

    Recorded tool call · completed

  106. Progress update

    The selected points are recorded. I’m attaching the final heatmap answer object now, using the exact final raster and point artifacts plus the current coverage receipts.

  107. assess_result

    Recorded tool call · completed

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