Research/Terra/ 470604

Task evidence / geographic-heatmap

Make a heatmap of power station density in regions with high forest depletion

PartialComputational taskUnpublished draft

Download evidence JSON ↓

The question

470604

Make a heatmap of power station density in regions with high forest depletion

Exact submitted task and declared adaptations

Make a heatmap of power station density in regions with high forest depletion

Task conventions: Use supplied countries with CONTINENT=Africa. Forest depletion follows the released reference: WDI AG.LND.FRST.ZS 2021 less than 1990, any decline in forest percentage. Weight points by DsgAttr02 MW. It is not a causal relationship or a measured local forest-loss surface. 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": "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

Final count or unknown-coverage count disagrees with the computed evidence.

Duration: 31m 44s
Recorded Blue tool calls: 74
Total tokens: 4,831,447
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 contributing original point records as an inspectable artifact with `benchmark_row_id`. It uses the frozen USGS 2021 power-station compilation, the GeoBenchX-harmonized World Bank country boundaries, and the frozen World Bank AG.LND.FRST.ZS country indicator. Weights are `DsgAttr02` in MW. The raster is on the fixed EPSG:6933 grid with 25 km cells and 150 km Gaussian smoothing, and the values are smoothed sums of MW per grid cell, not density per square kilometre. Important limit: this is country-level forest-decline screening only. It is not a local forest-loss surface and does not imply causation. Also, some records stay out of the heatmap because 31 lacked valid geometry, 34 had unknown country eligibility, and 16 had unknown MW. ### Limitations - Forest-decline eligibility is country-level from the frozen World Bank AG.LND.FRST.ZS table, so the heatmap is not a local forest-loss surface and does not imply causation. - Unknown country eligibility, unknown weights, and unlocated source records remain separate from excluded or contributing records. - The raster unit is sum of MW per grid cell after point binning and Gaussian smoothing on the declared EPSG:6933 25 km grid; it is not density per square kilometre and values are not rescaled for presentation. - Forest-decline eligibility comes from the frozen country-level World Bank AG.LND.FRST.ZS table, so this is not a local forest-loss surface and it does not imply causation. - The raster reports smoothed MW sums per 25 km EPSG:6933 grid cell, not density per square kilometre, and constant-zero edge handling can lose mass near the grid boundary. - 31 source records lacked valid geometry, 34 matched points had unknown country eligibility, and 16 otherwise eligible points had unknown MW, so they do not contribute to the heatmap.

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: 2092
Reported count: 2092
Computation verified: Yes
Answer fulfilled: No

Full grading and rubric record

{
  "expectedCount": 2092,
  "actualCount": 2092,
  "expectedMetrics": null,
  "actualMetrics": null,
  "computationCorrect": true,
  "answerFulfilled": false,
  "adjudication": null,
  "qualification": null,
  "reasons": [
    "Final count or unknown-coverage count disagrees with the computed evidence."
  ]
}

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 the exact Africa-country join and strict within-polygon point selection produce the requested contributing-point set and the specified global EPSG:6933 Gaussian MW heatmap, while keeping unknown country eligibility and unknown weights separate from known exclusions?

assess_trial · completed · assessment: insufficient

The exact ISO_A3 to Country Code join succeeded for all 52 African country polygons, the strict within-polygon join matched 2,889 valid-geometry points to African polygons and omitted 31 records before join for missing or invalid geometry, and the requested point-density raster used the exact global EPSG:6933 grid with 25 km cells and 150 km radius smoothing. The trial also showed 2,108 points in eligible countries, 2,092 contributing points with finite nonnegative MW weights, and 34 matched points with unknown country eligibility. However, the retained point output renamed the original power-station row identifier to a suffixed field after spatial join, so the selected-point artifact does not yet preserve the requested original benchmark_row_id field name.

run_trial · completed

Does an aggregate strict-within country join preserve the original point benchmark_row_id while still producing the same eligible-point counts and the requested global EPSG:6933 Gaussian MW heatmap?

assess_trial · completed · assessment: sufficient

The aggregate strict-within join preserved the original power-station benchmark_row_id field unsuffixed while adding country_match_count, forest1990, forest2021, and forest_ratio fields to the original point records. It reproduced the earlier selection counts: 3,034 total source records, 3,003 records with valid geometry, 31 unlocated records omitted before spatial join, 2,889 matched points within African country polygons, 114 valid points outside the specified geography, 34 matched points with unknown country eligibility, 16 otherwise eligible points with unknown weight, and 2,092 contributing points with finite nonnegative MW weights. The heatmap again used the declared EPSG:6933 grid with bounds [-18000000,-7325000,18000000,7325000], 25 km cells on both axes, radius 150000 metres, four-sigma kernel support, constant-zero exterior, and unit 'sum of MW per grid cell'.

assess_result · completed · assessment: sufficient

I produced the requested MW heatmap and added it to the map as layer [resource id withheld]. The retained selected-point artifact contains 2,092 contributing original point records with original geometry and benchmark_row_id. Final-workflow inspection shows 3,034 source records in total, 31 unlocated records omitted before spatial join, 114 valid points outside the specified geography that were excluded, 34 matched points with unknown country eligibility, and 16 otherwise eligible points with unknown MW. The delivered raster uses the exact EPSG:6933 global grid with 25 km cells, 150 km Gaussian smoothing, four-sigma numerical support, constant-zero exterior, and unit sum of MW per grid cell.

Recorded workflow

01
Africa countries
Recorded vector-filter · succeeded
02
Join forest indicator
Recorded table-attribute-join · succeeded
03
Forest ratio
Recorded vector-field-calculate · succeeded
04
Contributing point count
Recorded table-group-statistics · skipped
05
Contributing points
Recorded vector-filter · succeeded
06
Country boundaries
Recorded source · succeeded
07
Contributing power stations
Recorded output · succeeded
08
Power-station MW heatmap
Recorded output · succeeded
09
MW heatmap
Recorded point-density · succeeded
10
Points in eligible countries
Recorded vector-filter · succeeded
11
Forest indicator
Recorded source · succeeded
12
Points within African polygons
Recorded vector-filter · succeeded
13
Outside-geography point count
Recorded table-group-statistics · skipped
14
Valid points outside geography
Recorded vector-filter · skipped
15
Power stations
Recorded source · succeeded
16
Assign country eligibility fields
Recorded vector-spatial-join · succeeded
17
Total point count
Recorded table-group-statistics · skipped
18
Unknown-country point count
Recorded table-group-statistics · skipped
19
Points with unknown country eligibility
Recorded vector-filter · skipped
20
Unknown-weight point count
Recorded table-group-statistics · skipped
21
Eligible points with unknown weight
Recorded vector-filter · skipped
22
Valid-geometry point count
Recorded table-group-statistics · skipped
23
Africa countries
Recorded vector-filter · succeeded
24
Join forest indicator
Recorded table-attribute-join · succeeded
25
Forest ratio
Recorded vector-field-calculate · succeeded
26
Contributing point count
Recorded table-group-statistics · succeeded
27
Contributing points
Recorded vector-filter · succeeded
28
Country boundaries
Recorded source · succeeded
29
MW heatmap
Recorded point-density · succeeded
30
Points in eligible countries
Recorded vector-filter · succeeded
31
Forest indicator
Recorded source · succeeded
32
Points within African polygons
Recorded vector-filter · succeeded
33
Outside-geography point count
Recorded table-group-statistics · succeeded
34
Valid points outside geography
Recorded vector-filter · succeeded
35
Power stations
Recorded source · succeeded
36
Assign country eligibility fields
Recorded vector-spatial-join · succeeded
37
Total point count
Recorded table-group-statistics · succeeded
38
Assign country eligibility fields
Recorded output · succeeded
39
MW heatmap
Recorded output · succeeded
40
Contributing points
Recorded output · succeeded
41
Total point count
Recorded output · succeeded
42
Valid-geometry point count
Recorded output · succeeded
43
Outside-geography point count
Recorded output · succeeded
44
Unknown-country point count
Recorded output · succeeded
45
Unknown-weight point count
Recorded output · succeeded
46
Contributing point count
Recorded output · succeeded
47
MW heatmap
Recorded output · succeeded
48
Unknown-country point count
Recorded table-group-statistics · succeeded
49
Points with unknown country eligibility
Recorded vector-filter · succeeded
50
Unknown-weight point count
Recorded table-group-statistics · succeeded
51
Eligible points with unknown weight
Recorded vector-filter · succeeded
52
Valid-geometry point count
Recorded table-group-statistics · succeeded
53
Africa countries
Recorded vector-filter · succeeded
54
Join forest indicator
Recorded table-attribute-join · succeeded
55
Points within African polygons
Recorded vector-filter · succeeded
56
Forest ratio
Recorded vector-field-calculate · succeeded
57
Contributing point count
Recorded table-group-statistics · succeeded
58
Contributing points
Recorded vector-filter · succeeded
59
Country boundaries
Recorded source · succeeded
60
MW heatmap
Recorded point-density · succeeded
61
Points in eligible countries
Recorded vector-filter · succeeded
62
Eligible point count
Recorded table-group-statistics · succeeded
63
Forest indicator
Recorded source · succeeded
64
Power stations
Recorded source · succeeded
65
Assign points to African countries
Recorded vector-spatial-join · succeeded
66
Join forest indicator
Recorded output · succeeded
67
MW heatmap
Recorded output · succeeded
68
Assign points to African countries
Recorded output · succeeded
69
Points in eligible countries
Recorded output · succeeded
70
Points with unknown country eligibility
Recorded output · succeeded
71
Contributing points
Recorded output · succeeded
72
Eligible point count
Recorded output · succeeded
73
Contributing point count
Recorded output · succeeded
74
Unknown-country point count
Recorded output · succeeded
75
MW heatmap
Recorded output · succeeded
76
Unknown-country point count
Recorded table-group-statistics · succeeded
77
Points with unknown country eligibility
Recorded vector-filter · 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.

08:47:52 UTC
Progress update
I’m checking the available Blue tools and the supplied datasets first, then I’ll test the heatmap method on a small private run before I save the full workflow.
08:47:56 UTC
Progress update
I found the main Blue analysis tools. Next I’m checking the three supplied datasets and the processor catalog so I can build the requested weighted grid-and-Gaussian heatmap exactly as specified.
08:48:00 UTC
get_analysis
Recorded tool call · completed
08:48:00 UTC
get_tool_help
Recorded tool call · completed
08:48:00 UTC
get_tool_help
Recorded tool call · completed
08:48:00 UTC
get_tool_help
Recorded tool call · completed
08:48:00 UTC
get_tool_help
Recorded tool call · completed
08:48:01 UTC
get_tool_help
Recorded tool call · completed
08:48:01 UTC
get_tool_help
Recorded tool call · completed
08:48:13 UTC
get_collection
Recorded tool call · completed
08:48:14 UTC
get_collection
Recorded tool call · completed
08:48:19 UTC
get_collection
Recorded tool call · completed
08:48:31 UTC
get_item
Recorded tool call · completed
08:48:31 UTC
get_item
Recorded tool call · completed
08:48:33 UTC
get_item
Recorded tool call · completed
08:48:33 UTC
Progress update
I have the three exact supplied collections. Now I’m inspecting the actual item schemas and a few sample rows so I can bind the right fields and avoid guessing column names.
08:48:41 UTC
list_processors
Recorded tool call · completed
08:48:41 UTC
list_processors
Recorded tool call · completed
08:48:42 UTC
list_processors
Recorded tool call · completed
08:48:43 UTC
list_processors
Recorded tool call · completed
08:48:43 UTC
list_processors
Recorded tool call · completed
08:48:44 UTC
list_processors
Recorded tool call · completed
08:49:07 UTC
Progress update
I found a built-in `point-density` processor that matches the requested grid, weighting, Gaussian radius, and constant-zero edge behavior. I’m now checking its exact inputs, along with the join and spatial filter steps needed to build the contributing point set without guessing fields.
08:49:08 UTC
describe_processors
Recorded tool call · completed
08:49:08 UTC
describe_processors
Recorded tool call · completed
08:49:26 UTC
inspect_artifact
Recorded tool call · failed
08:49:26 UTC
inspect_artifact
Recorded tool call · failed
08:49:26 UTC
inspect_artifact
Recorded tool call · failed
08:49:48 UTC
describe_processors
Recorded tool call · completed
08:49:48 UTC
get_tool_help
Recorded tool call · completed
08:49:51 UTC
get_tool_help
Recorded tool call · completed
08:49:52 UTC
get_tool_help
Recorded tool call · completed
08:49:53 UTC
get_tool_help
Recorded tool call · completed
08:50:02 UTC
get_tool_help
Recorded tool call · completed
08:50:02 UTC
get_tool_help
Recorded tool call · completed
08:50:03 UTC
get_tool_help
Recorded tool call · completed
08:50:38 UTC
update_analysis_brief
Recorded tool call · completed
08:51:55 UTC
describe_processors
Recorded tool call · completed
08:51:56 UTC
describe_processors
Recorded tool call · completed
08:52:02 UTC
describe_processors
Recorded tool call · completed
08:52:12 UTC
describe_processors
Recorded tool call · completed
08:52:12 UTC
describe_processors
Recorded tool call · completed
08:52:32 UTC
get_tool_help
Recorded tool call · completed
08:52:33 UTC
get_tool_help
Recorded tool call · completed
08:53:07 UTC
Progress update
I’ve got a defensible method now: filter Africa countries, join the frozen WDI table by exact ISO code, mark eligible vs unknown countries, assign original points by strict within-polygon membership, keep only finite nonnegative MW weights for contributors, and run `point-density` on the exact global EPSG:6933 grid. I’m testing that full chain privately now so I can confirm counts and the raster before saving the final workflow.
08:53:24 UTC
run_trial
Recorded tool call · completed
09:00:28 UTC
Progress update
The first full trial mostly worked: the join, counts, and heatmap grid all behaved as expected. One practical issue remains: the selected-point output renamed the power-station row ID to `benchmark_row_id_target`, so I’m correcting the join method to keep the original `benchmark_row_id` field in the retained point artifact.
09:00:31 UTC
assess_trial
Recorded tool call · completed
09:00:52 UTC
Progress update
I found the one remaining fix. I’m rerunning the selection with an aggregate country join so the retained point artifact keeps the original power-station `benchmark_row_id` field while still adding the forest-eligibility values needed for filtering and counts.
09:01:18 UTC
Progress update
The correction run did not start because I asked for too many inspected outputs in one trial report. I’m retrying with the same method and a smaller inspected set.
09:01:34 UTC
run_trial
Recorded tool call · completed
09:03:28 UTC
Progress update
The corrected full trial is done. I’m checking the retained point fields, the heatmap preview, and the open finding so I can save the exact workflow revision and publish the right artifacts instead of the earlier suffixed-ID version.
09:03:36 UTC
get_trial_report
Recorded tool call · completed
09:03:36 UTC
get_analysis
Recorded tool call · completed
09:03:36 UTC
list_map_layers
Recorded tool call · completed
09:03:52 UTC
assess_trial
Recorded tool call · completed
09:04:33 UTC
Progress update
I’ve got the tested full-scope method now. I’m saving that exact corrected computation as the workflow proposal, with the heatmap raster as the map deliverable and the contributing-point dataset as the retained inspectable artifact.
09:04:49 UTC
propose_workflow
Recorded tool call · failed
09:04:54 UTC
Progress update
The proposal is almost valid. Blue requires the two deliverables for the same result to carry the same current limitation note, so I’m fixing that wording and resaving the exact tested workflow.
09:05:07 UTC
propose_workflow
Recorded tool call · failed
09:05:16 UTC
Progress update
Blue needs two explicit evidence bindings because those country measurements feed more than one step. I’m pointing the geography rule to the point-selection step and the forest-decline rule to the joined-country input that actually drives eligibility.
09:05:31 UTC
propose_workflow
Recorded tool call · failed
09:05:45 UTC
Progress update
One workflow requirement still pointed to a side branch that does not feed the selected deliverables. I’m trimming that reference without changing the tested computation, so the saved workflow still runs the corrected method.
09:05:59 UTC
propose_workflow
Recorded tool call · completed
09:06:08 UTC
Progress update
The saved workflow is valid and ready, but Blue wants one explicit resolution note for the earlier trial finding. I’m recording that the corrected aggregate join fixed the row-ID problem and supports this exact saved workflow.
09:06:11 UTC
assess_plan
Recorded tool call · completed
09:06:20 UTC
execute_workflow
Recorded tool call · completed
09:08:01 UTC
Progress update
The approved run appears to have finished in the background. I’m inspecting the actual workflow outputs now, then I’ll add the verified heatmap layer to the map and record the final answer object from those exact artifacts.
09:08:12 UTC
inspect_workflow_results
Recorded tool call · completed
09:08:56 UTC
Progress update
I’m pulling the final output receipts and previews now so the final answer uses the exact delivered artifacts and the live map layer, not just the trial copies.
09:08:56 UTC
inspect_workflow_results
Recorded tool call · failed
09:08:56 UTC
inspect_artifact
Recorded tool call · completed
09:08:56 UTC
inspect_artifact
Recorded tool call · completed
09:08:56 UTC
list_map_layers
Recorded tool call · completed
09:09:19 UTC
Progress update
I have the live heatmap layer ID already. I’m finishing two bounded inspections now: the selected-point artifact to confirm its retained fields, and the final heatmap raster to confirm the exact delivered grid and values before I record the final result.
09:09:37 UTC
Progress update
I’m using the completed inspection jobs now. That lets me read the final selected-point rows and the final raster preview without rerunning anything.
09:09:37 UTC
inspect_artifact
Recorded tool call · completed
09:09:37 UTC
inspect_artifact
Recorded tool call · completed
09:09:37 UTC
inspect_artifact
Recorded tool call · completed
09:10:27 UTC
inspect_workflow_results
Recorded tool call · completed
09:11:32 UTC
Progress update
I have the final selected points and final raster. I’m doing one last small inspection on the current point-assignment output so the unknown and unlocated counts come from the delivered run, not just the earlier trial.
09:11:34 UTC
inspect_artifact
Recorded tool call · completed
09:12:29 UTC
inspect_artifact
Recorded tool call · completed
09:13:33 UTC
Progress update
I’ve verified the final artifacts and the live map layer. I’m refreshing the brief notes so the final handoff reflects the completed method and only the real remaining limitations.
09:13:54 UTC
update_analysis_brief
Recorded tool call · completed
09:15:41 UTC
Progress update
I’ve finished the heatmap and I’m recording the final checked result now. After that I’ll give you a short plain-language summary.
09:16:03 UTC
Progress update
I’ve checked the saved outputs. I’m confirming the map layer binding and then I’ll file the final result with the exact selected artifacts.
09:16:03 UTC
list_map_layers
Recorded tool call · completed
09:16:13 UTC
inspect_artifact
Recorded tool call · completed
09:16:27 UTC
Progress update
I’m resuming from the completed inspection and finishing the final checks on the saved outputs. After that I’ll lock in the final answer object.
09:16:30 UTC
inspect_artifact
Recorded tool call · completed
09:16:38 UTC
Progress update
I’ve confirmed the selected-point artifact. I’m checking the final raster receipt now so the answer object points to the exact delivered heatmap layer.
09:16:39 UTC
inspect_artifact
Recorded tool call · completed
09:16:43 UTC
Progress update
I’ve confirmed the raster and map layer. I’m checking the join-summary output once more so the unknown and unlocated counts come from the final workflow evidence, not from the trial alone.
09:16:45 UTC
inspect_artifact
Recorded tool call · completed
09:17:30 UTC
Progress update
I’m pulling the final join summary receipt now so the unknown and unlocated counts are tied directly to the delivered workflow run.
09:17:30 UTC
inspect_artifact
Recorded tool call · completed
09:17:47 UTC
Progress update
I’ve tied the unlocated and outside counts to the delivered workflow run. I’m checking the country join receipt once so the final note about exact ISO_A3 to Country Code matching also comes from the final workflow evidence.
09:17:47 UTC
inspect_artifact
Recorded tool call · completed
09:17:59 UTC
Progress update
I’m using the completed join inspection now, then I’ll record the final result object with the exact selected artifacts and layer ID.
09:18:00 UTC
inspect_artifact
Recorded tool call · completed
09:18:10 UTC
Progress update
I’ve got the final join receipt too. I’m filing the checked result now with the delivered point selection, the delivered heatmap raster, the map layer, and the supporting count receipts.
09:18:33 UTC
assess_result
Recorded tool call · completed

The question

Outcome & verification

Recorded final answer

Independent checks

Recorded investigation findings

Recorded workflow

Africa countries

Join forest indicator

Forest ratio

Contributing point count

Contributing points

Country boundaries

Contributing power stations

Power-station MW heatmap

MW heatmap

Points in eligible countries

Forest indicator

Points within African polygons

Outside-geography point count

Valid points outside geography

Power stations

Assign country eligibility fields

Total point count

Unknown-country point count

Points with unknown country eligibility

Unknown-weight point count

Eligible points with unknown weight

Valid-geometry point count

Africa countries

Join forest indicator

Forest ratio

Contributing point count

Contributing points

Country boundaries

MW heatmap

Points in eligible countries

Forest indicator

Points within African polygons

Outside-geography point count

Valid points outside geography

Power stations

Assign country eligibility fields

Total point count

Assign country eligibility fields

MW heatmap

Contributing points

Total point count

Valid-geometry point count

Outside-geography point count

Unknown-country point count

Unknown-weight point count

Contributing point count

MW heatmap

Unknown-country point count

Points with unknown country eligibility

Unknown-weight point count

Eligible points with unknown weight

Valid-geometry point count

Africa countries

Join forest indicator

Points within African polygons

Forest ratio

Contributing point count

Contributing points

Country boundaries

MW heatmap

Points in eligible countries

Eligible point count

Forest indicator

Power stations

Assign points to African countries

Join forest indicator

MW heatmap

Assign points to African countries

Points in eligible countries

Points with unknown country eligibility

Contributing points

Eligible point count

Contributing point count

Unknown-country point count