Ember (current)

DISCLAIMER.md

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+# Disclaimer
+
+This dataset is redistributed by **OptimalSolution LLC** as part of the multimod
+data bank. The original publisher is **Ember**.
+
+**Redistribution only; no responsibility.** OptimalSolution LLC redistributes this
+data and is not responsible for its content, accuracy, completeness, currency or
+fitness for any purpose. Questions about what the data says, how it was
+collected or what it means belong to the original publisher.
+
+**No endorsement and no position.** Inclusion in this data bank implies no
+judgement, endorsement or position by OptimalSolution LLC regarding the data, its
+publisher, the methodology behind it, or any conclusion that anyone draws from
+it. Datasets are included because they are useful inputs to energy-system
+models, not because OptimalSolution LLC agrees with them.
+
+**No affiliation.** OptimalSolution LLC is not affiliated with, sponsored by or
+endorsed by Ember. All trademarks, names and credit remain with the
+original publisher.
+
+**Provided as-is; no warranty.** This copy is provided as-is, without warranty of
+any kind, express or implied. The original publisher's licence and terms govern
+your use of the data; where this copy and the publisher's own release differ, the
+publisher's release is authoritative.
+
+## Changes made to the published data
+
+The tables here are RESTRUCTURED, not a passthrough: three source CSVs were melted onto one long schema, columns were renamed, and entity_kind, series_group and aggregate entity codes were derived. No value was recomputed, rescaled or imputed -- the build asserts that the multiset of numbers coming out equals the multiset going in. The year-on-year change columns were dropped as recomputable. Per-dataset detail is in each dataset.yml under bank.modifications and bank.changes.
+
+Per-dataset detail is recorded in each `dataset.yml` under `bank.modifications`
+and `bank.changes`, and is served by the platform API alongside the data.

LICENSE-CC-BY-4.0.txt

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+Ember electricity data is published under the Creative Commons Attribution
+4.0 International Licence (CC-BY-4.0).
+
+  https://creativecommons.org/licenses/by/4.0/
+
+Ember's own statement of the terms:
+
+  "Our data is published using the CC-BY-4.0 license. Anyone is able to use
+  our data for any purpose (personal, commercial, etc.). The only
+  requirements by this license are that:
+   1. Ember is cited as the data source. E.g. 'Monthly electricity
+      generation data, Ember'
+   2. You may not add any additional legal/technological restrictions to
+      the data."
+
+Ember's logo is NOT covered by this licence and is not distributed here.

NOTICE.md

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+# Attribution
+
+This product includes data from Ember, used under CC-BY-4.0.
+
+    Data: Ember - CC-BY-4.0
+    https://ember-energy.org/data/
+
+Boundaries used with this data come from Natural Earth (public domain) and
+are distributed separately as the `naturalearth` source of this data bank.
+
+Ember requires that no additional legal or technological restrictions be
+placed on the data. This copy is therefore published for unrestricted
+download; see DISCLAIMER.md for what redistribution here does and does not
+mean.

README.md

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+---
+license: cc-by-4.0
+pretty_name: Ember
+tags:
+- electricity
+- generation
+- capacity
+- emissions
+- global
+---
+
+# Ember electricity data
+
+Global electricity generation, capacity, demand and emissions from Ember's public bulk releases, reshaped onto one long schema and stored as an energyRt dataset store. Area codes, labels and the geoscale that joins them are in `scales/`.
+
+## Terms
+
+- **Licence**: CC-BY-4.0 (https://creativecommons.org/licenses/by/4.0/)
+- **Attribution**: Data: Ember - CC-BY-4.0
+- **Cite as**: Yearly and monthly electricity data, Ember. https://ember-energy.org/data/
+- **Source**: https://ember-energy.org/data/
+
+Redistributed by OptimalSolution LLC -- see `DISCLAIMER.md`. Redistribution only: no responsibility for the content, no endorsement or position, no affiliation with the publisher, no warranty. What was changed from the published data is recorded per dataset under `bank.modifications` and `bank.changes`.
+
+## Datasets
+
+| dataset | rows | coverage |
+|---|---|---|
+| `ember_generation_yearly` | 543,302 | 1985 to 2025, annual |
+| `ember_generation_monthly` | 838,831 | 1998-12 to 2026-08, monthly |
+| `ember_capacity_wind_solar_monthly` | 52,910 | 2016-01 to 2026-08, monthly |
+
+## Read this before you aggregate
+
+- `is_derived` marks Ember's OWN aggregate series -- Total generation, Clean, Fossil, Renewables, Demand. They sit in the same `series` column as the fuels they summarise, so summing the column without filtering counts the fuels twice.
+- `entity_kind` separates the 209 countries from Ember's 15 precomputed aggregates, and those aggregates OVERLAP -- every EU member is also in OECD. Summing `entity_id` double-counts differently again.
+- `unit` is part of the key. Solar capacity is published twice, once in GWAC and once in GWDC, so (entity, period, series, variable) is NOT unique. The generation tables also mix TWh with percent in one `value` column.
+- `AU` and `MENA` exist only as precomputed rows: Ember publishes no membership for them, so they cannot be broken down into countries. `scales/ember_geoscale.json` lists them under `unmappable`.
+- Geometry is NOT here. It is Natural Earth, public domain, shared with every other source and referenced as `basemaps:ne_countries_50m`. Without it the geoscale still aggregates and recasts; only maps need it.
+
+## Using it
+
+```r
+# the tables (no geoscales/timescales needed)
+energyRt::set_datasets_path("datasets")
+d <- energyRt::getDataset("ember_generation_yearly")
+
+# the geoscale, rebuilt from the shipped CSV + JSON
+source("scales/ember_geoscale.R")
+gs <- ember_geoscale()                       # no geometry
+gs <- ember_geoscale("../naturalearth")     # with geometry
+
+# split a regional aggregate down to countries, conserving the total
+geoscales::recast_geoscale(x, gs, from = "ember_region", to = "region",
+                           values = "value", rule = "sum",
+                           weight = "pop_est")
+```
+

datasets/ember_capacity_wind_solar_monthly/class

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+dataset

datasets/ember_capacity_wind_solar_monthly/data/part-0.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6f05ff01bdf741e8d71d29cf75e9bdc80137b4086238248409d2676978cddc67
+size 113341

datasets/ember_capacity_wind_solar_monthly/dataset.yml

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+layout: 3
+class: dataset
+name: ember_capacity_wind_solar_monthly
+hash: 5c01e9c70c18e01bbeead8dfaf8058b8
+hash_of: content
+kind: table
+payload_class: data.frame
+dim:
+- 52910
+- 11
+cols:
+  entity_id: factor
+  entity_kind: factor
+  year: integer
+  period_start: Date
+  period_type: factor
+  series: factor
+  series_group: factor
+  is_derived: logical
+  variable: factor
+  unit: factor
+  value: numeric
+format: parquet
+created: '2026-09-17T21:24:32Z'
+updated: '2026-09-17T21:24:32Z'
+energyRt_version: 0.89.7.9002
+memo: Monthly wind and solar capacity
+bank:
+  schema_version: 1
+  source: ember
+  slug: ember/capacity-wind-solar-monthly
+  title: Monthly wind and solar capacity
+  description: Monthly installed wind and solar capacity and additions.
+  license: CC-BY-4.0
+  attribution: 'Data: Ember - CC-BY-4.0'
+  citation: Ember (2026). Monthly wind and solar capacity. https://ember-energy.org/data/
+  homepage: https://ember-energy.org/data/
+  visibility: public
+  modifications: restructured
+  modification_notice: Reformatted and restructured from Ember's published CSV release.
+    Values are carried through unchanged; no figure has been recomputed, rescaled
+    or imputed.
+  changes:
+  - Converted CSV to Arrow IPC (Feather v2), dictionary-encoded.
+  - Unified three source files onto one long schema; see provenance.column_map.
+  - Melted the wide measure columns into variable/unit/value rows.
+  - Renamed columns (e.g. `ISO 3 code` -> entity_id).
+  - Derived entity_kind, series_group and aggregate entity codes; no source value
+    altered.
+  - Dropped the year-on-year change columns, which are recomputable from the retained
+    series.
+  - Dropped rows with no observation rather than filling them with zero.
+  - 'Capacity only: filled the ISO 3 Code that Ember leaves blank on ''Wind and solar''
+    rows, using Ember''s own Area to ISO3 map from the yearly release.'
+  provenance:
+    url: https://files.ember-energy.org/public-downloads/capacity/outputs/monthly_capacity_wind_solar_public_release_file.csv
+    raw_sha256: 770f6f7da74075efd6b541f3823efd4b3b87e29f733093982cc5c298ffc8fafb
+    raw_bytes: 1192992
+    fetched_at: '2026-09-17T15:16:21Z'
+    upstream_last_modified: Mon, 07 Sep 2026 11:54:09 GMT
+    transform: r-worker/build_ember.R
+    raw_columns:
+    - Month
+    - Year
+    - ISO 3 Code
+    - Area
+    - Is aggregate area
+    - Ember region
+    - Continent
+    - Source
+    - Is aggregate source
+    - Unit
+    - Installed Capacity
+    - Capacity additions (month-on-month)
+    - Capacity additions (year-to-date)
+  schema:
+    columns:
+    - entity_id
+    - entity_kind
+    - year
+    - period_start
+    - period_type
+    - series
+    - series_group
+    - is_derived
+    - variable
+    - unit
+    - value
+    key:
+    - entity_id
+    - period_start
+    - series
+    - variable
+    - unit
+    value_column: value
+    unit_column: unit
+  additive_over:
+  - entity_id
+  - period_start
+  not_additive_over:
+  - series
+  - variable
+  - unit
+  default_filter:
+    is_derived: no
+    entity_kind: country
+  units:
+    capacity:
+    - GW
+    - GWAC
+    - GWDC
+    capacity_additions_mom:
+    - GW
+    - GWAC
+    - GWDC
+    capacity_additions_ytd:
+    - GW
+    - GWAC
+    - GWDC
+  coverage:
+    period_type: month
+    start: '2016-01-01'
+    end: '2026-08-01'
+    n_periods: 128
+    rows: 52910
+    entities:
+      total: 30
+      country: 25
+      aggregate: 5
+    series:
+    - Offshore wind
+    - Onshore wind
+    - Solar
+    - Unknown wind
+    - Wind
+    - Wind and solar
+    variables:
+    - capacity
+    - capacity_additions_mom
+    - capacity_additions_ytd
+  scales:
+    geoscale: ember_world
+    entity_geoframe: region
+    calendar: monthly
+    calendar_note: A Calendar partitions ONE model year. The multi-year axis is the
+      `year` / `period_start` DATA column and is deliberately not part of any calendar
+      -- timescales has no YEAR token.
+  storage:
+    format: parquet
+    layout: single
+    partition_by: []
+    parts: 1
+    compression: zstd
+    bytes: 113341
+    part_sha256: 6f05ff01bdf741e8d71d29cf75e9bdc80137b4086238248409d2676978cddc67

datasets/ember_capacity_wind_solar_monthly/layout

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+3

datasets/ember_generation_monthly/class

@@ -0,0 +1 @@
+dataset

datasets/ember_generation_monthly/data/part-0.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cb6b1770fe0efbf149a30cdab9bc62c7d536dc5edc3c29f90fa21e9a566808c0
+size 2750314

datasets/ember_generation_monthly/dataset.yml

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+layout: 3
+class: dataset
+name: ember_generation_monthly
+hash: 6b9b87362403aef1ef1dbc07444854fd
+hash_of: content
+kind: table
+payload_class: data.frame
+dim:
+- 838831
+- 11
+cols:
+  entity_id: factor
+  entity_kind: factor
+  year: integer
+  period_start: Date
+  period_type: factor
+  series: factor
+  series_group: factor
+  is_derived: logical
+  variable: factor
+  unit: factor
+  value: numeric
+format: parquet
+created: '2026-09-17T21:24:32Z'
+updated: '2026-09-17T21:24:32Z'
+energyRt_version: 0.89.7.9002
+memo: Monthly electricity generation, global
+bank:
+  schema_version: 1
+  source: ember
+  slug: ember/generation-monthly
+  title: Monthly electricity generation, global
+  description: Monthly generation, emissions and shares by fuel, by country and by
+    Ember region.
+  license: CC-BY-4.0
+  attribution: 'Data: Ember - CC-BY-4.0'
+  citation: Ember (2026). Monthly electricity generation, global. https://ember-energy.org/data/
+  homepage: https://ember-energy.org/data/
+  visibility: public
+  modifications: restructured
+  modification_notice: Reformatted and restructured from Ember's published CSV release.
+    Values are carried through unchanged; no figure has been recomputed, rescaled
+    or imputed.
+  changes:
+  - Converted CSV to Arrow IPC (Feather v2), dictionary-encoded.
+  - Unified three source files onto one long schema; see provenance.column_map.
+  - Melted the wide measure columns into variable/unit/value rows.
+  - Renamed columns (e.g. `ISO 3 code` -> entity_id).
+  - Derived entity_kind, series_group and aggregate entity codes; no source value
+    altered.
+  - Dropped the year-on-year change columns, which are recomputable from the retained
+    series.
+  - Dropped rows with no observation rather than filling them with zero.
+  - 'Capacity only: filled the ISO 3 Code that Ember leaves blank on ''Wind and solar''
+    rows, using Ember''s own Area to ISO3 map from the yearly release.'
+  provenance:
+    url: https://files.ember-energy.org/public-downloads/generation/outputs/release_generation_monthly_global.csv
+    raw_sha256: 993427c0ebe4f02d881f9374bda4f7a150ef4109a428085b8654dd1fd3cb15c7
+    raw_bytes: 28105387
+    fetched_at: '2026-09-17T15:16:20Z'
+    upstream_last_modified: Tue, 08 Sep 2026 17:01:31 GMT
+    transform: r-worker/build_ember.R
+    raw_columns:
+    - Area
+    - ISO 3 code
+    - Date
+    - Area type
+    - Electricity source
+    - Is aggregated source
+    - Generation (TWh)
+    - Generation YoY change (TWh)
+    - Generation YoY change (%)
+    - Share of generation (%)
+    - Share of generation YoY change (% points)
+    - Emissions (MtCO2e)
+    - Emissions YoY change (MtCO2e)
+    - Emissions YoY change (%)
+    - Share of emissions (%)
+    - Emissions intensity (gCO2e/kWh)
+    - Continent
+    - Ember region
+    - EU member
+    - OECD member
+    - G20 member
+    - G7 member
+    - ASEAN member
+  schema:
+    columns:
+    - entity_id
+    - entity_kind
+    - year
+    - period_start
+    - period_type
+    - series
+    - series_group
+    - is_derived
+    - variable
+    - unit
+    - value
+    key:
+    - entity_id
+    - period_start
+    - series
+    - variable
+    - unit
+    value_column: value
+    unit_column: unit
+  additive_over:
+  - entity_id
+  - period_start
+  not_additive_over:
+  - series
+  - variable
+  - unit
+  default_filter:
+    is_derived: no
+    entity_kind: country
+  units:
+    emissions: MtCO2e
+    emissions_intensity: gCO2e_per_kWh
+    emissions_share: pct
+    generation: TWh
+    generation_share: pct
+  coverage:
+    period_type: month
+    start: '1998-12-01'
+    end: '2026-08-01'
+    n_periods: 333
+    rows: 838831
+    entities:
+      total: 99
+      country: 88
+      aggregate: 11
+    series:
+    - Bioenergy
+    - Clean
+    - Coal
+    - Demand
+    - Fossil
+    - Gas
+    - Hydro
+    - Hydro, bioenergy and other renewables
+    - Net imports
+    - Nuclear
+    - Other fossil
+    - Other renewables
+    - Renewables
+    - Solar
+    - Total generation
+    - Wind
+    - Wind and solar
+    variables:
+    - emissions
+    - emissions_intensity
+    - emissions_share
+    - generation
+    - generation_share
+  scales:
+    geoscale: ember_world
+    entity_geoframe: region
+    calendar: monthly
+    calendar_note: A Calendar partitions ONE model year. The multi-year axis is the
+      `year` / `period_start` DATA column and is deliberately not part of any calendar
+      -- timescales has no YEAR token.
+  storage:
+    format: parquet
+    layout: single
+    partition_by: []
+    parts: 1
+    compression: zstd
+    bytes: 2750314
+    part_sha256: cb6b1770fe0efbf149a30cdab9bc62c7d536dc5edc3c29f90fa21e9a566808c0

datasets/ember_generation_monthly/layout

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+3

datasets/ember_generation_yearly/class

@@ -0,0 +1 @@
+dataset

datasets/ember_generation_yearly/data/part-0.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1ccdc446c287ae80f503fdeab9a37df8128981534c1d433bc46c7cb05a764b17
+size 1398177

datasets/ember_generation_yearly/dataset.yml

@@ -0,0 +1,175 @@
+layout: 3
+class: dataset
+name: ember_generation_yearly
+hash: bbb5177bbe8bfad7f3758b1720b78719
+hash_of: content
+kind: table
+payload_class: data.frame
+dim:
+- 543302
+- 11
+cols:
+  entity_id: factor
+  entity_kind: factor
+  year: integer
+  period_start: Date
+  period_type: factor
+  series: factor
+  series_group: factor
+  is_derived: logical
+  variable: factor
+  unit: factor
+  value: numeric
+format: parquet
+created: '2026-09-17T21:24:31Z'
+updated: '2026-09-17T21:24:31Z'
+energyRt_version: 0.89.7.9002
+memo: Yearly electricity generation, global
+bank:
+  schema_version: 1
+  source: ember
+  slug: ember/generation-yearly
+  title: Yearly electricity generation, global
+  description: Annual generation, capacity, emissions and shares by fuel, by country
+    and by Ember region.
+  license: CC-BY-4.0
+  attribution: 'Data: Ember - CC-BY-4.0'
+  citation: Ember (2026). Yearly electricity generation, global. https://ember-energy.org/data/
+  homepage: https://ember-energy.org/data/
+  visibility: public
+  modifications: restructured
+  modification_notice: Reformatted and restructured from Ember's published CSV release.
+    Values are carried through unchanged; no figure has been recomputed, rescaled
+    or imputed.
+  changes:
+  - Converted CSV to Arrow IPC (Feather v2), dictionary-encoded.
+  - Unified three source files onto one long schema; see provenance.column_map.
+  - Melted the wide measure columns into variable/unit/value rows.
+  - Renamed columns (e.g. `ISO 3 code` -> entity_id).
+  - Derived entity_kind, series_group and aggregate entity codes; no source value
+    altered.
+  - Dropped the year-on-year change columns, which are recomputable from the retained
+    series.
+  - Dropped rows with no observation rather than filling them with zero.
+  - 'Capacity only: filled the ISO 3 Code that Ember leaves blank on ''Wind and solar''
+    rows, using Ember''s own Area to ISO3 map from the yearly release.'
+  provenance:
+    url: https://files.ember-energy.org/public-downloads/generation/outputs/release_generation_yearly_global.csv
+    raw_sha256: b535c81592424ba9c09cc735e7cc4baf0aa518daf116996d959845ca4ca54bf0
+    raw_bytes: 16086064
+    fetched_at: '2026-09-17T15:16:18Z'
+    upstream_last_modified: Tue, 08 Sep 2026 17:01:30 GMT
+    transform: r-worker/build_ember.R
+    raw_columns:
+    - Area
+    - ISO 3 code
+    - Year
+    - Area type
+    - Electricity source
+    - Is aggregated source
+    - Generation (TWh)
+    - Generation YoY change (TWh)
+    - Generation YoY change (%)
+    - Share of generation (%)
+    - Share of generation YoY change (% points)
+    - Capacity (GW)
+    - Emissions (MtCO2e)
+    - Emissions YoY change (MtCO2e)
+    - Emissions YoY change (%)
+    - Share of emissions (%)
+    - Emissions intensity (gCO2e/kWh)
+    - Continent
+    - Ember region
+    - EU member
+    - OECD member
+    - G20 member
+    - G7 member
+    - ASEAN member
+  schema:
+    columns:
+    - entity_id
+    - entity_kind
+    - year
+    - period_start
+    - period_type
+    - series
+    - series_group
+    - is_derived
+    - variable
+    - unit
+    - value
+    key:
+    - entity_id
+    - period_start
+    - series
+    - variable
+    - unit
+    value_column: value
+    unit_column: unit
+  additive_over:
+  - entity_id
+  - period_start
+  not_additive_over:
+  - series
+  - variable
+  - unit
+  default_filter:
+    is_derived: no
+    entity_kind: country
+  units:
+    capacity: GW
+    emissions: MtCO2e
+    emissions_intensity: gCO2e_per_kWh
+    emissions_share: pct
+    generation: TWh
+    generation_share: pct
+  coverage:
+    period_type: year
+    start: '1985-01-01'
+    end: '2025-01-01'
+    n_periods: 41
+    rows: 543302
+    entities:
+      total: 224
+      country: 209
+      aggregate: 15
+    series:
+    - Bioenergy
+    - Clean
+    - Coal
+    - Demand
+    - Fossil
+    - Gas
+    - Hydro
+    - Hydro, bioenergy and other renewables
+    - Net imports
+    - Nuclear
+    - Other fossil
+    - Other renewables
+    - Renewables
+    - Solar
+    - Total generation
+    - Wind
+    - Wind and solar
+    variables:
+    - capacity
+    - emissions
+    - emissions_intensity
+    - emissions_share
+    - generation
+    - generation_share
+  scales:
+    geoscale: ember_world
+    entity_geoframe: region
+    calendar: annual
+    calendar_note: A Calendar partitions ONE model year. The multi-year axis is the
+      `year` / `period_start` DATA column and is deliberately not part of any calendar
+      -- timescales has no YEAR token.
+  storage:
+    format: parquet
+    layout: single
+    partition_by: []
+    parts: 1
+    compression: zstd
+    bytes: 1398177
+    part_sha256: 1ccdc446c287ae80f503fdeab9a37df8128981534c1d433bc46c7cb05a764b17

datasets/ember_generation_yearly/layout

@@ -0,0 +1 @@
+3

scales/ember_areas.csv

@@ -0,0 +1,210 @@
+"region","area_name","continent","continent_name","ember_region","ember_region_name","eu","oecd","g20","g7","asean","world","pop_est","gdp_md","km2"
+"ABW","Aruba","CONT_SOUTH_AMERICA","South America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",106314,3056,154.663540425657
+"AFG","Afghanistan","CONT_ASIA","Asia","ASIA","Asia",,,,,,"WORLD",38041754,19291,641842.745188011
+"AGO","Angola","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",31825295,88815,1244669.79492597
+"ALB","Albania","CONT_EUROPE","Europe","EUROPE","Europe",,,,,,"WORLD",2854191,15279,28373.1193971795
+"ARE","United Arab Emirates","CONT_ASIA","Asia","MIDDLE_EAST","Middle East",,,,,,"WORLD",9770529,421142,71113.4865277672
+"ARG","Argentina","CONT_SOUTH_AMERICA","South America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,"G20",,,"WORLD",44938712,445445,2782453.63895102
+"ARM","Armenia","CONT_ASIA","Asia","ASIA","Asia",,,,,,"WORLD",2957731,13672,29590.8485755365
+"ASM","American Samoa","CONT_OCEANIA","Oceania","OCEANIA","Oceania",,,,,,"WORLD",55312,636,119.962007437439
+"ATG","Antigua and Barbuda","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",97118,1661,431.411029508815
+"AUS","Australia","CONT_OCEANIA","Oceania","OCEANIA","Oceania",,"OECD","G20",,,"WORLD",25364307,1396567,7691236.61021423
+"AUT","Austria","CONT_EUROPE","Europe","EUROPE","Europe","EU","OECD",,,,"WORLD",8877067,445075,84148.3554134261
+"AZE","Azerbaijan","CONT_ASIA","Asia","ASIA","Asia",,,,,,"WORLD",10023318,48047,86500.8426926704
+"BDI","Burundi","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",11530580,3012,27086.8926702374
+"BEL","Belgium","CONT_EUROPE","Europe","EUROPE","Europe","EU","OECD",,,,"WORLD",11484055,533097,30739.2778458073
+"BEN","Benin","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",11801151,14390,116105.087434477
+"BFA","Burkina Faso","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",20321378,15990,272626.831932252
+"BGD","Bangladesh","CONT_ASIA","Asia","ASIA","Asia",,,,,,"WORLD",163046161,302571,135340.322293953
+"BGR","Bulgaria","CONT_EUROPE","Europe","EUROPE","Europe","EU",,,,,"WORLD",6975761,68558,112610.004619876
+"BHR","Bahrain","CONT_ASIA","Asia","MIDDLE_EAST","Middle East",,,,,,"WORLD",1641172,38574,540.472976045578
+"BHS","Bahamas","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",389482,13578,12640.2183738206
+"BIH","Bosnia Herzegovina","CONT_EUROPE","Europe","EUROPE","Europe",,,,,,"WORLD",3301000,20164,51789.8161306613
+"BLR","Belarus","CONT_EUROPE","Europe","EUROPE","Europe",,,,,,"WORLD",9466856,63080,207560.980287174
+"BLZ","Belize","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",390353,1879,22705.2826427145
+"BOL","Bolivia","CONT_SOUTH_AMERICA","South America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",11513100,40895,1086623.46270546
+"BRA","Brazil","CONT_SOUTH_AMERICA","South America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,"G20",,,"WORLD",211049527,1839758,8467098.25776301
+"BRB","Barbados","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",287025,5209,387.824389355175
+"BRN","Brunei Darussalam","CONT_ASIA","Asia","ASIA","Asia",,,,,"ASEAN","WORLD",433285,13469,5647.17379971221
+"BTN","Bhutan","CONT_ASIA","Asia","ASIA","Asia",,,,,,"WORLD",763092,2530,39811.2956434392
+"BWA","Botswana","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",2303697,18340,579137.274617419
+"CAF","Central African Republic","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",4745185,2220,618322.871065762
+"CAN","Canada","CONT_NORTH_AMERICA","North America","NORTH_AMERICA","North America",,"OECD","G20","G7",,"WORLD",37589262,1736425,9923083.18520292
+"CHE","Switzerland","CONT_EUROPE","Europe","EUROPE","Europe",,"OECD",,,,"WORLD",8574832,703082,41316.1632739803
+"CHL","Chile","CONT_SOUTH_AMERICA","South America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,"OECD",,,,"WORLD",18952038,282318,737678.022387029
+"CHN","China","CONT_ASIA","Asia","ASIA","Asia",,,"G20",,,"WORLD",1397715000,14342903,9373024.02748093
+"CIV","Cote d'Ivoire","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",25716544,58539,320934.580119138
+"CMR","Cameroon","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",25876380,39007,463871.036834983
+"COD","Congo (DRC)","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",86790567,50400,2324446.64160376
+"COG","Congo","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",5380508,12267,345333.676675924
+"COK","Cook Islands (the)","CONT_OCEANIA","Oceania","OCEANIA","Oceania",,,,,,"WORLD",17459,244,60.4889656803846
+"COL","Colombia","CONT_SOUTH_AMERICA","South America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,"OECD",,,,"WORLD",50339443,323615,1134457.39144509
+"COM","Comoros","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",850886,1165,1579.64885556782
+"CPV","Cabo Verde","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",549935,1981,3572.62886788611
+"CRI","Costa Rica","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,"OECD",,,,"WORLD",5047561,61801,51303.3545190088
+"CUB","Cuba","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",11333483,100023,109005.404689648
+"CYM","Cayman Islands","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",64948,5517,300.418062172579
+"CYP","Cyprus","CONT_EUROPE","Europe","EUROPE","Europe","EU",,,,,"WORLD",1198575,24948,5707.77835917894
+"CZE","Czechia","CONT_EUROPE","Europe","EUROPE","Europe","EU","OECD",,,,"WORLD",10669709,250680,78743.8543419196
+"DEU","Germany","CONT_EUROPE","Europe","EUROPE","Europe","EU","OECD","G20","G7",,"WORLD",83132799,3861123,357457.491100056
+"DJI","Djibouti","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",973560,3324,21618.8791113103
+"DMA","Dominica","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",71808,582,695.395057227539
+"DNK","Denmark","CONT_EUROPE","Europe","EUROPE","Europe","EU","OECD",,,,"WORLD",5818553,350104,42618.327020451
+"DOM","Dominican Republic","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",10738958,88941,48440.0524483257
+"DZA","Algeria","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",43053054,171091,2319299.94586531
+"ECU","Ecuador","CONT_SOUTH_AMERICA","South America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",17373662,107435,254528.459029869
+"EGY","Egypt","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",100388073,303092,1001771.64564108
+"ERI","Eritrea","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",6081196,2065,123242.561314571
+"ESP","Spain","CONT_EUROPE","Europe","EUROPE","Europe","EU","OECD",,,,"WORLD",47076781,1393490,506732.862085842
+"EST","Estonia","CONT_EUROPE","Europe","EUROPE","Europe","EU","OECD",,,,"WORLD",1326590,31471,45694.4687988043
+"ETH","Ethiopia","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",112078730,95912,1127094.93336168
+"FIN","Finland","CONT_EUROPE","Europe","EUROPE","Europe","EU","OECD",,,,"WORLD",5520314,269296,332612.623402297
+"FJI","Fiji","CONT_OCEANIA","Oceania","OCEANIA","Oceania",,,,,,"WORLD",889953,5496,18346.466362116
+"FLK","Falkland Islands (Malvinas)","CONT_SOUTH_AMERICA","South America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",3398,282,11429.5470231956
+"FRA","France","CONT_EUROPE","Europe","EUROPE","Europe","EU","OECD","G20","G7",,"WORLD",67059887,2715518,548373.883640385
+"FRO","Faroe Islands","CONT_EUROPE","Europe","EUROPE","Europe",,,,,,"WORLD",48678,3116,1041.75404200123
+"GAB","Gabon","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",2172579,16874,259499.47668341
+"GBR","United Kingdom","CONT_EUROPE","Europe","EUROPE","Europe",,"OECD","G20","G7",,"WORLD",66834405,2829108,240641.726924336
+"GEO","Georgia","CONT_ASIA","Asia","ASIA","Asia",,,,,,"WORLD",3720382,17477,69413.73226798
+"GHA","Ghana","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",30417856,66983,238558.734128315
+"GIN","Guinea","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",12771246,12296,243939.334904071
+"GLP","Guadeloupe","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",67059887,2715518,1657.3200575261
+"GMB","Gambia","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",2347706,1826,10274.9755111908
+"GNB","Guinea-Bissau","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",1920922,1339,31931.1736901308
+"GNQ","Equatorial Guinea","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",1355986,11026,26525.0221585732
+"GRC","Greece","CONT_EUROPE","Europe","EUROPE","Europe","EU","OECD",,,,"WORLD",10716322,209852,130276.327951092
+"GRD","Grenada","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",112003,1210,284.916150550762
+"GRL","Greenland","CONT_NORTH_AMERICA","North America","NORTH_AMERICA","North America",,,,,,"WORLD",56225,3051,2171413.39385821
+"GTM","Guatemala","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",16604026,76710,108101.849652404
+"GUF","French Guiana","CONT_SOUTH_AMERICA","South America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",67059887,2715518,83183.7034446868
+"GUM","Guam","CONT_OCEANIA","Oceania","OCEANIA","Oceania",,,,,,"WORLD",167294,5920,480.450096097824
+"GUY","Guyana","CONT_SOUTH_AMERICA","South America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",782766,5173,211022.413968988
+"HKG","Hong Kong (SAR of China)","CONT_ASIA","Asia","ASIA","Asia",,,,,,"WORLD",7507400,365711,1026.31537612312
+"HND","Honduras","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",9746117,25095,113105.783134772
+"HRV","Croatia","CONT_EUROPE","Europe","EUROPE","Europe","EU",,,,,"WORLD",4067500,60752,54543.6931354963
+"HTI","Haiti","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",11263077,14332,26723.016555696
+"HUN","Hungary","CONT_EUROPE","Europe","EUROPE","Europe","EU","OECD",,,,"WORLD",9769949,163469,93213.076983474
+"IDN","Indonesia","CONT_ASIA","Asia","ASIA","Asia",,,"G20",,"ASEAN","WORLD",270625568,1119190,1863909.15771878
+"IND","India","CONT_ASIA","Asia","ASIA","Asia",,,"G20",,,"WORLD",1366417754,2868929,3148262.59494693
+"IRL","Ireland","CONT_EUROPE","Europe","EUROPE","Europe","EU","OECD",,,,"WORLD",4941444,388698,68982.6613366641
+"IRN","Iran","CONT_ASIA","Asia","MIDDLE_EAST","Middle East",,,,,,"WORLD",82913906,453996,1621841.96427913
+"IRQ","Iraq","CONT_ASIA","Asia","MIDDLE_EAST","Middle East",,,,,,"WORLD",39309783,234094,437238.467859618
+"ISL","Iceland","CONT_EUROPE","Europe","EUROPE","Europe",,"OECD",,,,"WORLD",361313,24188,101824.831815352
+"ISR","Israel","CONT_ASIA","Asia","MIDDLE_EAST","Middle East",,"OECD",,,,"WORLD",9053300,394652,22032.0738356715
+"ITA","Italy","CONT_EUROPE","Europe","EUROPE","Europe","EU","OECD","G20","G7",,"WORLD",60297396,2003576,300794.108026794
+"JAM","Jamaica","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",2948279,16458,10897.4089396941
+"JOR","Jordan","CONT_ASIA","Asia","MIDDLE_EAST","Middle East",,,,,,"WORLD",10101694,44502,88781.4069824137
+"JPN","Japan","CONT_ASIA","Asia","ASIA","Asia",,"OECD","G20","G7",,"WORLD",126264931,5081769,370275.586732208
+"KAZ","Kazakhstan","CONT_ASIA","Asia","ASIA","Asia",,,,,,"WORLD",18513930,181665,2720703.29413463
+"KEN","Kenya","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",52573973,95503,592188.932225134
+"KGZ","Kyrgyzstan","CONT_ASIA","Asia","ASIA","Asia",,,,,,"WORLD",6456900,8454,198927.239363911
+"KHM","Cambodia","CONT_ASIA","Asia","ASIA","Asia",,,,,"ASEAN","WORLD",16486542,27089,180670.045002021
+"KIR","Kiribati","CONT_OCEANIA","Oceania","OCEANIA","Oceania",,,,,,"WORLD",117606,194,933.384899789563
+"KNA","Saint Kitts and Nevis","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",52834,1053,232.171856997856
+"KOR","South Korea","CONT_ASIA","Asia","ASIA","Asia",,"OECD","G20",,,"WORLD",51709098,1646739,97172.4711454945
+"KWT","Kuwait","CONT_ASIA","Asia","MIDDLE_EAST","Middle East",,,,,,"WORLD",4207083,134628,17307.5884451855
+"LAO","Lao PDR","CONT_ASIA","Asia","ASIA","Asia",,,,,"ASEAN","WORLD",7169455,18173,228231.760235565
+"LBN","Lebanon","CONT_ASIA","Asia","MIDDLE_EAST","Middle East",,,,,,"WORLD",6855713,51991,10007.763408326
+"LBR","Liberia","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",4937374,3070,95255.6948024778
+"LBY","Libya","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",6777452,52091,1623739.17274135
+"LCA","Saint Lucia","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",182790,2122,549.272891167709
+"LKA","Sri Lanka","CONT_ASIA","Asia","ASIA","Asia",,,,,,"WORLD",21803000,84008,65763.2908788481
+"LSO","Lesotho","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",2125268,2376,29991.1148914624
+"LTU","Lithuania","CONT_EUROPE","Europe","EUROPE","Europe","EU","OECD",,,,"WORLD",2786844,54627,64815.1790915802
+"LUX","Luxembourg","CONT_EUROPE","Europe","EUROPE","Europe","EU","OECD",,,,"WORLD",619896,71104,2620.62394383785
+"LVA","Latvia","CONT_EUROPE","Europe","EUROPE","Europe","EU","OECD",,,,"WORLD",1912789,34102,64577.0569041037
+"MAC","Macao (SAR of China)","CONT_ASIA","Asia","ASIA","Asia",,,,,,"WORLD",640445,53859,22.6816039450271
+"MAR","Morocco","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",36471769,119700,581713.394194185
+"MDA","Moldova","CONT_EUROPE","Europe","EUROPE","Europe",,,,,,"WORLD",2657637,11968,33207.5971915438
+"MDG","Madagascar","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",26969307,14114,592826.092920881
+"MDV","Maldives","CONT_ASIA","Asia","ASIA","Asia",,,,,,"WORLD",530953,5642,66.1189870618925
+"MEX","Mexico","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,"OECD","G20",,,"WORLD",127575529,1268870,1957879.035826
+"MKD","North Macedonia","CONT_EUROPE","Europe","EUROPE","Europe",,,,,,"WORLD",2083459,12547,25400.3759001221
+"MLI","Mali","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",19658031,17279,1254110.83607364
+"MLT","Malta","CONT_EUROPE","Europe","EUROPE","Europe","EU",,,,,"WORLD",502653,14989,273.806738844863
+"MMR","Myanmar","CONT_ASIA","Asia","ASIA","Asia",,,,,"ASEAN","WORLD",54045420,76085,660975.857083239
+"MNE","Montenegro","CONT_EUROPE","Europe","EUROPE","Europe",,,,,,"WORLD",622137,5542,13690.2009359551
+"MNG","Mongolia","CONT_ASIA","Asia","ASIA","Asia",,,,,,"WORLD",3225167,13996,1564521.33147358
+"MOZ","Mozambique","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",30366036,15291,788094.978804014
+"MRT","Mauritania","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",4525696,7600,1035381.56873064
+"MSR","Montserrat","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",4649,44,79.5114723644638
+"MTQ","Martinique","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",67059887,2715518,1097.45881974424
+"MUS","Mauritius","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",1265711,14048,1873.87584535456
+"MWI","Malawi","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",18628747,7666,119344.487407776
+"MYS","Malaysia","CONT_ASIA","Asia","ASIA","Asia",,,,,"ASEAN","WORLD",31949777,364681,326201.016736388
+"NAM","Namibia","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",2494530,12366,822523.697597886
+"NCL","New Caledonia","CONT_OCEANIA","Oceania","OCEANIA","Oceania",,,,,,"WORLD",287800,10770,18616.6357833851
+"NER","Niger","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",23310715,12911,1181186.10920531
+"NGA","Nigeria","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",200963599,448120,907832.696623202
+"NIC","Nicaragua","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",6545502,12520,128751.484079947
+"NLD","Netherlands","CONT_EUROPE","Europe","EUROPE","Europe","EU","OECD",,,,"WORLD",17332850,907050,37275.8809345022
+"NOR","Norway","CONT_EUROPE","Europe","EUROPE","Europe",,"OECD",,,,"WORLD",5347896,403336,386811.500562754
+"NPL","Nepal","CONT_ASIA","Asia","ASIA","Asia",,,,,,"WORLD",28608710,30641,146976.351293258
+"NRU","Nauru","CONT_OCEANIA","Oceania","OCEANIA","Oceania",,,,,,"WORLD",12581,118,27.6708718652992
+"NZL","New Zealand","CONT_OCEANIA","Oceania","OCEANIA","Oceania",,"OECD",,,,"WORLD",4917000,206928,267241.748104782
+"OMN","Oman","CONT_ASIA","Asia","MIDDLE_EAST","Middle East",,,,,,"WORLD",4974986,76331,311195.686013513
+"PAK","Pakistan","CONT_ASIA","Asia","ASIA","Asia",,,,,,"WORLD",216565318,278221,872776.102136494
+"PAN","Panama","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",4246439,66800,73934.5910547777
+"PER","Peru","CONT_SOUTH_AMERICA","South America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",32510453,226848,1291018.36064932
+"PHL","The Philippines","CONT_ASIA","Asia","ASIA","Asia",,,,,"ASEAN","WORLD",108116615,376795,289181.656709277
+"PNG","Papua New Guinea","CONT_OCEANIA","Oceania","OCEANIA","Oceania",,,,,,"WORLD",8776109,24829,462301.103211039
+"POL","Poland","CONT_EUROPE","Europe","EUROPE","Europe","EU","OECD",,,,"WORLD",37970874,595858,313755.371023535
+"PRI","Puerto Rico","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",3193694,104988,8915.15530304792
+"PRK","North Korea","CONT_ASIA","Asia","ASIA","Asia",,,,,,"WORLD",25666161,40000,122627.316633607
+"PRT","Portugal","CONT_EUROPE","Europe","EUROPE","Europe","EU","OECD",,,,"WORLD",10269417,238785,90844.928684751
+"PRY","Paraguay","CONT_SOUTH_AMERICA","South America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",7044636,38145,399948.350392406
+"PSE","Palestine (State of)","CONT_ASIA","Asia","MIDDLE_EAST","Middle East",,,,,,"WORLD",4685306,16276,6328.69100893636
+"PYF","French Polynesia","CONT_OCEANIA","Oceania","OCEANIA","Oceania",,,,,,"WORLD",279287,5490,2605.47079597696
+"QAT","Qatar","CONT_ASIA","Asia","MIDDLE_EAST","Middle East",,,,,,"WORLD",2832067,175837,11051.6130153426
+"REU","Reunion","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",67059887,2715518,2582.42136476631
+"ROU","Romania","CONT_EUROPE","Europe","EUROPE","Europe","EU",,,,,"WORLD",19356544,250077,236342.996406687
+"RUS","Russia","CONT_EUROPE","Europe","EUROPE","Europe",,,"G20",,,"WORLD",144373535,1699876,16973513.3606501
+"RWA","Rwanda","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",12626950,10354,25272.6005794823
+"SAU","Saudi Arabia","CONT_ASIA","Asia","MIDDLE_EAST","Middle East",,,"G20",,,"WORLD",34268528,792966,1921560.13421256
+"SDN","Sudan","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",42813238,30513,1856671.22382656
+"SEN","Senegal","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",16296364,23578,196608.074635941
+"SGP","Singapore","CONT_ASIA","Asia","ASIA","Asia",,,,,"ASEAN","WORLD",5703569,372062,482.778522360958
+"SLB","Solomon Islands","CONT_OCEANIA","Oceania","OCEANIA","Oceania",,,,,,"WORLD",669823,1589,25633.6165089592
+"SLE","Sierra Leone","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",7813215,4121,71576.0863614346
+"SLV","El Salvador","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",6453553,27022,20316.149112463
+"SOM","Somalia","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",10192317.3,4719,471552.143803771
+"SPM","Saint Pierre and Miquelon","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",5997,215,205.831137303778
+"SRB","Serbia","CONT_EUROPE","Europe","EUROPE","Europe",,,,,,"WORLD",6944975,51475,77648.3200855689
+"SSD","South Sudan","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",11062113,11998,621318.084718608
+"STP","Sao Tome and Principe","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",215056,418,981.456632025104
+"SUR","Suriname","CONT_SOUTH_AMERICA","South America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",581363,3697,144934.021573142
+"SVK","Slovakia","CONT_EUROPE","Europe","EUROPE","Europe","EU","OECD",,,,"WORLD",5454073,105079,48489.2790225754
+"SVN","Slovenia","CONT_EUROPE","Europe","EUROPE","Europe","EU","OECD",,,,"WORLD",2087946,54174,20244.5824792796
+"SWE","Sweden","CONT_EUROPE","Europe","EUROPE","Europe","EU","OECD",,,,"WORLD",10285453,530883,445654.285497301
+"SWZ","Eswatini","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",1148130,4471,16961.6990844001
+"SYC","Seychelles","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",97625,1703,173.637727352821
+"SYR","Syria","CONT_ASIA","Asia","MIDDLE_EAST","Middle East",,,,,,"WORLD",17070135,98830,185961.560438741
+"TCA","Turks and Caicos Islands","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",38191,1197,329.348536634588
+"TCD","Chad","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",15946876,11314,1266546.81051257
+"TGO","Togo","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",8082366,5490,56901.1528009952
+"THA","Thailand","CONT_ASIA","Asia","ASIA","Asia",,,,,"ASEAN","WORLD",69625582,543548,513908.974501802
+"TJK","Tajikistan","CONT_ASIA","Asia","ASIA","Asia",,,,,,"WORLD",9321018,8116,142396.071743957
+"TKM","Turkmenistan","CONT_ASIA","Asia","ASIA","Asia",,,,,,"WORLD",5942089,40761,471028.192599308
+"TON","Tonga","CONT_OCEANIA","Oceania","OCEANIA","Oceania",,,,,,"WORLD",104494,512,430.293214756613
+"TTO","Trinidad and Tobago","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",1394973,24269,5081.92633839771
+"TUN","Tunisia","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",11694719,38796,156616.767106114
+"TUR","Türkiye","CONT_ASIA","Asia","EUROPE","Europe",,"OECD","G20",,,"WORLD",83429615,761425,780462.910762115
+"TWN","Taiwan (China)","CONT_ASIA","Asia","ASIA","Asia",,,,,,"WORLD",23568378,1127000,35909.3453265358
+"TZA","Tanzania (the United Republic of)","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",58005463,63177,941734.383280994
+"UGA","Uganda","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",44269594,35165,241473.71254419
+"UKR","Ukraine","CONT_EUROPE","Europe","EUROPE","Europe",,,,,,"WORLD",44385155,153781,571975.745691057
+"URY","Uruguay","CONT_SOUTH_AMERICA","South America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",3461734,56045,177464.048437343
+"USA","United States","CONT_NORTH_AMERICA","North America","NORTH_AMERICA","North America",,"OECD","G20","G7",,"WORLD",328239523,21433226,9455759.56894371
+"UZB","Uzbekistan","CONT_ASIA","Asia","ASIA","Asia",,,,,,"WORLD",33580650,57921,448022.579810706
+"VCT","Saint Vincent and the Grenadines","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",110589,824,309.916872237629
+"VEN","Venezuela","CONT_SOUTH_AMERICA","South America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",28515829,482359,910439.415464111
+"VGB","Virgin Islands (British)","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",30030,500,134.936178764977
+"VIR","Virgin Islands (U.S.)","CONT_NORTH_AMERICA","North America","LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean",,,,,,"WORLD",106631,3855,314.80871377144
+"VNM","Viet Nam","CONT_ASIA","Asia","ASIA","Asia",,,,,"ASEAN","WORLD",96462106,261921,327849.4414549
+"VUT","Vanuatu","CONT_OCEANIA","Oceania","OCEANIA","Oceania",,,,,,"WORLD",299882,934,11253.6314605805
+"WSM","Samoa","CONT_OCEANIA","Oceania","OCEANIA","Oceania",,,,,,"WORLD",197097,852,2691.6833069522
+"XKX","Kosovo","CONT_EUROPE","Europe","EUROPE","Europe",,,,,,"WORLD",1794248,7926,10929.8358329751
+"YEM","Yemen","CONT_ASIA","Asia","MIDDLE_EAST","Middle East",,,,,,"WORLD",29161922,22581,452565.23854683
+"ZAF","South Africa","CONT_AFRICA","Africa","AFRICA","Africa",,,"G20",,,"WORLD",58558270,351431,1220030.78198216
+"ZMB","Zambia","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",17861030,23309,752772.995789212
+"ZWE","Zimbabwe","CONT_AFRICA","Africa","AFRICA","Africa",,,,,,"WORLD",14645468,21440,388993.757368991

scales/ember_geoscale.R

@@ -0,0 +1,54 @@
+# Rebuild the Ember Geoscale from the files shipped beside this script.
+#
+# No .rda is published on purpose: a serialized S7 object carries its property
+# names, so it is version-coupled to the geoscales class definition and a stored
+# binary silently stops loading after an upstream rename. The CSV + JSON pair is
+# the authoritative form; this rebuilds the object from it in one call.
+#
+#   gs <- ember_geoscale()                       # no geometry
+#   gs <- ember_geoscale("path/to/naturalearth") # with geometry attached
+
+ember_geoscale <- function(basemaps = NULL, dir = NULL) {
+  if (is.null(dir)) dir <- dirname(sys.frame(1)$ofile %||% ".")
+  if (!requireNamespace("geoscales", quietly = TRUE)) {
+    stop("geoscales is required: remotes::install_github('optimal2050/geoscales')")
+  }
+  spec <- jsonlite::fromJSON(file.path(dir, "ember_geoscale.json"),
+                             simplifyVector = FALSE)
+  lt <- utils::read.csv(file.path(dir, "ember_areas.csv"), encoding = "UTF-8",
+                        na.strings = "", stringsAsFactors = FALSE)
+
+  gs <- geoscales::geoscale_from_leaftable(
+    lt,
+    geoframes = unlist(spec$geoframes),
+    key = spec$key,
+    weights = unlist(spec$weights),
+    default_weight = spec$default_weight,
+    name = spec$name,
+    desc = spec$desc,
+    labels = "area_name",
+    source = "Ember (CC-BY-4.0); geometry from Natural Earth (public domain)")
+
+  # Geometry lives in the basemaps source, not here: it is Natural Earth's
+  # public-domain data, shared by every source in the bank, and copying it per
+  # source is how five drifting copies happen. Without it the geoscale is still
+  # fully usable for aggregation and recasting -- only maps need the geometry.
+  if (is.null(basemaps)) {
+    message("ember_geoscale(): no geometry attached. Pass the basemaps source ",
+            "directory to enable maps (geometry_ref: ", spec$geometry_ref, ").")
+    return(gs)
+  }
+  p <- file.path(basemaps, "exact", "ne_countries_50m.parquet")
+  if (!file.exists(p)) {
+    warning("no geometry at ", p, " -- returning the geoscale without it")
+    return(gs)
+  }
+  ne <- suppressWarnings(sfarrow::st_read_parquet(p))
+  # GeoParquet 1.0 stores crs as a PROJJSON object; sfarrow hands that object to
+  # sf::st_crs(), which takes only strings, so the CRS comes back NA. Silently.
+  if (is.na(sf::st_crs(ne))) sf::st_crs(ne) <- "OGC:CRS84"
+  ne <- ne[match(lt[[spec$key]], ne$iso3), ]
+  geoscales::attach_geometry_geoscale(gs, sf::st_geometry(ne))
+}
+
+`%||%` <- function(x, y) if (is.null(x)) y else x

scales/ember_geoscale.json

@@ -0,0 +1,54 @@
+{
+  "name": "ember_world",
+  "desc": "Ember's global area hierarchy: two partitions (continent, Ember region) and six overlapping membership groups.",
+  "key": "region",
+  "geoframes": ["world", "eu", "oecd", "g20", "g7", "asean", "continent", "ember_region", "region"],
+  "partitions": ["continent", "ember_region"],
+  "overlapping": ["world", "eu", "oecd", "g20", "g7", "asean"],
+  "n_leaves": 209,
+  "weights": ["pop_est", "gdp_md", "km2"],
+  "default_weight": "pop_est",
+  "members": {
+    "world": {
+      "WORLD": ["ABW", "AFG", "AGO", "ALB", "ARE", "ARG", "ARM", "ASM", "ATG", "AUS", "AUT", "AZE", "BDI", "BEL", "BEN", "BFA", "BGD", "BGR", "BHR", "BHS", "BIH", "BLR", "BLZ", "BOL", "BRA", "BRB", "BRN", "BTN", "BWA", "CAF", "CAN", "CHE", "CHL", "CHN", "CIV", "CMR", "COD", "COG", "COK", "COL", "COM", "CPV", "CRI", "CUB", "CYM", "CYP", "CZE", "DEU", "DJI", "DMA", "DNK", "DOM", "DZA", "ECU", "EGY", "ERI", "ESP", "EST", "ETH", "FIN", "FJI", "FLK", "FRA", "FRO", "GAB", "GBR", "GEO", "GHA", "GIN", "GLP", "GMB", "GNB", "GNQ", "GRC", "GRD", "GRL", "GTM", "GUF", "GUM", "GUY", "HKG", "HND", "HRV", "HTI", "HUN", "IDN", "IND", "IRL", "IRN", "IRQ", "ISL", "ISR", "ITA", "JAM", "JOR", "JPN", "KAZ", "KEN", "KGZ", "KHM", "KIR", "KNA", "KOR", "KWT", "LAO", "LBN", "LBR", "LBY", "LCA", "LKA", "LSO", "LTU", "LUX", "LVA", "MAC", "MAR", "MDA", "MDG", "MDV", "MEX", "MKD", "MLI", "MLT", "MMR", "MNE", "MNG", "MOZ", "MRT", "MSR", "MTQ", "MUS", "MWI", "MYS", "NAM", "NCL", "NER", "NGA", "NIC", "NLD", "NOR", "NPL", "NRU", "NZL", "OMN", "PAK", "PAN", "PER", "PHL", "PNG", "POL", "PRI", "PRK", "PRT", "PRY", "PSE", "PYF", "QAT", "REU", "ROU", "RUS", "RWA", "SAU", "SDN", "SEN", "SGP", "SLB", "SLE", "SLV", "SOM", "SPM", "SRB", "SSD", "STP", "SUR", "SVK", "SVN", "SWE", "SWZ", "SYC", "SYR", "TCA", "TCD", "TGO", "THA", "TJK", "TKM", "TON", "TTO", "TUN", "TUR", "TWN", "TZA", "UGA", "UKR", "URY", "USA", "UZB", "VCT", "VEN", "VGB", "VIR", "VNM", "VUT", "WSM", "XKX", "YEM", "ZAF", "ZMB", "ZWE"]
+    },
+    "eu": {
+      "EU": ["AUT", "BEL", "BGR", "CYP", "CZE", "DEU", "DNK", "ESP", "EST", "FIN", "FRA", "GRC", "HRV", "HUN", "IRL", "ITA", "LTU", "LUX", "LVA", "MLT", "NLD", "POL", "PRT", "ROU", "SVK", "SVN", "SWE"]
+    },
+    "oecd": {
+      "OECD": ["AUS", "AUT", "BEL", "CAN", "CHE", "CHL", "COL", "CRI", "CZE", "DEU", "DNK", "ESP", "EST", "FIN", "FRA", "GBR", "GRC", "HUN", "IRL", "ISL", "ISR", "ITA", "JPN", "KOR", "LTU", "LUX", "LVA", "MEX", "NLD", "NOR", "NZL", "POL", "PRT", "SVK", "SVN", "SWE", "TUR", "USA"]
+    },
+    "g20": {
+      "G20": ["ARG", "AUS", "BRA", "CAN", "CHN", "DEU", "FRA", "GBR", "IDN", "IND", "ITA", "JPN", "KOR", "MEX", "RUS", "SAU", "TUR", "USA", "ZAF"]
+    },
+    "g7": {
+      "G7": ["CAN", "DEU", "FRA", "GBR", "ITA", "JPN", "USA"]
+    },
+    "asean": {
+      "ASEAN": ["BRN", "IDN", "KHM", "LAO", "MMR", "MYS", "PHL", "SGP", "THA", "VNM"]
+    },
+    "continent": {
+      "CONT_AFRICA": ["AGO", "BDI", "BEN", "BFA", "BWA", "CAF", "CIV", "CMR", "COD", "COG", "COM", "CPV", "DJI", "DZA", "EGY", "ERI", "ETH", "GAB", "GHA", "GIN", "GMB", "GNB", "GNQ", "KEN", "LBR", "LBY", "LSO", "MAR", "MDG", "MLI", "MOZ", "MRT", "MUS", "MWI", "NAM", "NER", "NGA", "REU", "RWA", "SDN", "SEN", "SLE", "SOM", "SSD", "STP", "SWZ", "SYC", "TCD", "TGO", "TUN", "TZA", "UGA", "ZAF", "ZMB", "ZWE"],
+      "CONT_ASIA": ["AFG", "ARE", "ARM", "AZE", "BGD", "BHR", "BRN", "BTN", "CHN", "GEO", "HKG", "IDN", "IND", "IRN", "IRQ", "ISR", "JOR", "JPN", "KAZ", "KGZ", "KHM", "KOR", "KWT", "LAO", "LBN", "LKA", "MAC", "MDV", "MMR", "MNG", "MYS", "NPL", "OMN", "PAK", "PHL", "PRK", "PSE", "QAT", "SAU", "SGP", "SYR", "THA", "TJK", "TKM", "TUR", "TWN", "UZB", "VNM", "YEM"],
+      "CONT_EUROPE": ["ALB", "AUT", "BEL", "BGR", "BIH", "BLR", "CHE", "CYP", "CZE", "DEU", "DNK", "ESP", "EST", "FIN", "FRA", "FRO", "GBR", "GRC", "HRV", "HUN", "IRL", "ISL", "ITA", "LTU", "LUX", "LVA", "MDA", "MKD", "MLT", "MNE", "NLD", "NOR", "POL", "PRT", "ROU", "RUS", "SRB", "SVK", "SVN", "SWE", "UKR", "XKX"],
+      "CONT_NORTH_AMERICA": ["ATG", "BHS", "BLZ", "BRB", "CAN", "CRI", "CUB", "CYM", "DMA", "DOM", "GLP", "GRD", "GRL", "GTM", "HND", "HTI", "JAM", "KNA", "LCA", "MEX", "MSR", "MTQ", "NIC", "PAN", "PRI", "SLV", "SPM", "TCA", "TTO", "USA", "VCT", "VGB", "VIR"],
+      "CONT_OCEANIA": ["ASM", "AUS", "COK", "FJI", "GUM", "KIR", "NCL", "NRU", "NZL", "PNG", "PYF", "SLB", "TON", "VUT", "WSM"],
+      "CONT_SOUTH_AMERICA": ["ABW", "ARG", "BOL", "BRA", "CHL", "COL", "ECU", "FLK", "GUF", "GUY", "PER", "PRY", "SUR", "URY", "VEN"]
+    },
+    "ember_region": {
+      "AFRICA": ["AGO", "BDI", "BEN", "BFA", "BWA", "CAF", "CIV", "CMR", "COD", "COG", "COM", "CPV", "DJI", "DZA", "EGY", "ERI", "ETH", "GAB", "GHA", "GIN", "GMB", "GNB", "GNQ", "KEN", "LBR", "LBY", "LSO", "MAR", "MDG", "MLI", "MOZ", "MRT", "MUS", "MWI", "NAM", "NER", "NGA", "REU", "RWA", "SDN", "SEN", "SLE", "SOM", "SSD", "STP", "SWZ", "SYC", "TCD", "TGO", "TUN", "TZA", "UGA", "ZAF", "ZMB", "ZWE"],
+      "ASIA": ["AFG", "ARM", "AZE", "BGD", "BRN", "BTN", "CHN", "GEO", "HKG", "IDN", "IND", "JPN", "KAZ", "KGZ", "KHM", "KOR", "LAO", "LKA", "MAC", "MDV", "MMR", "MNG", "MYS", "NPL", "PAK", "PHL", "PRK", "SGP", "THA", "TJK", "TKM", "TWN", "UZB", "VNM"],
+      "EUROPE": ["ALB", "AUT", "BEL", "BGR", "BIH", "BLR", "CHE", "CYP", "CZE", "DEU", "DNK", "ESP", "EST", "FIN", "FRA", "FRO", "GBR", "GRC", "HRV", "HUN", "IRL", "ISL", "ITA", "LTU", "LUX", "LVA", "MDA", "MKD", "MLT", "MNE", "NLD", "NOR", "POL", "PRT", "ROU", "RUS", "SRB", "SVK", "SVN", "SWE", "TUR", "UKR", "XKX"],
+      "LATIN_AMERICA_AND_CARIBBEAN": ["ABW", "ARG", "ATG", "BHS", "BLZ", "BOL", "BRA", "BRB", "CHL", "COL", "CRI", "CUB", "CYM", "DMA", "DOM", "ECU", "FLK", "GLP", "GRD", "GTM", "GUF", "GUY", "HND", "HTI", "JAM", "KNA", "LCA", "MEX", "MSR", "MTQ", "NIC", "PAN", "PER", "PRI", "PRY", "SLV", "SPM", "SUR", "TCA", "TTO", "URY", "VCT", "VEN", "VGB", "VIR"],
+      "MIDDLE_EAST": ["ARE", "BHR", "IRN", "IRQ", "ISR", "JOR", "KWT", "LBN", "OMN", "PSE", "QAT", "SAU", "SYR", "YEM"],
+      "NORTH_AMERICA": ["CAN", "GRL", "USA"],
+      "OCEANIA": ["ASM", "AUS", "COK", "FJI", "GUM", "KIR", "NCL", "NRU", "NZL", "PNG", "PYF", "SLB", "TON", "VUT", "WSM"]
+    }
+  },
+  "unmappable": ["AU", "MENA"],
+  "labels_file": "ember_labels.csv",
+  "leaftable_file": "ember_areas.csv",
+  "geometry_ref": "basemaps:ne_countries_50m",
+  "geoscales_version": "0.5.4",
+  "generated_by": "r-worker/build_ember.R"
+}

scales/ember_labels.csv

@@ -0,0 +1,231 @@
+"code","label","kind","geoframe","note"
+"ABW","Aruba","country","region",""
+"AFG","Afghanistan","country","region",""
+"AGO","Angola","country","region",""
+"ALB","Albania","country","region",""
+"ARE","United Arab Emirates","country","region",""
+"ARG","Argentina","country","region",""
+"ARM","Armenia","country","region",""
+"ASM","American Samoa","country","region",""
+"ATG","Antigua and Barbuda","country","region",""
+"AUS","Australia","country","region",""
+"AUT","Austria","country","region",""
+"AZE","Azerbaijan","country","region",""
+"BDI","Burundi","country","region",""
+"BEL","Belgium","country","region",""
+"BEN","Benin","country","region",""
+"BFA","Burkina Faso","country","region",""
+"BGD","Bangladesh","country","region",""
+"BGR","Bulgaria","country","region",""
+"BHR","Bahrain","country","region",""
+"BHS","Bahamas","country","region",""
+"BIH","Bosnia Herzegovina","country","region",""
+"BLR","Belarus","country","region",""
+"BLZ","Belize","country","region",""
+"BOL","Bolivia","country","region",""
+"BRA","Brazil","country","region",""
+"BRB","Barbados","country","region",""
+"BRN","Brunei Darussalam","country","region",""
+"BTN","Bhutan","country","region",""
+"BWA","Botswana","country","region",""
+"CAF","Central African Republic","country","region",""
+"CAN","Canada","country","region",""
+"CHE","Switzerland","country","region",""
+"CHL","Chile","country","region",""
+"CHN","China","country","region",""
+"CIV","Cote d'Ivoire","country","region",""
+"CMR","Cameroon","country","region",""
+"COD","Congo (DRC)","country","region",""
+"COG","Congo","country","region",""
+"COK","Cook Islands (the)","country","region",""
+"COL","Colombia","country","region",""
+"COM","Comoros","country","region",""
+"CPV","Cabo Verde","country","region",""
+"CRI","Costa Rica","country","region",""
+"CUB","Cuba","country","region",""
+"CYM","Cayman Islands","country","region",""
+"CYP","Cyprus","country","region",""
+"CZE","Czechia","country","region",""
+"DEU","Germany","country","region",""
+"DJI","Djibouti","country","region",""
+"DMA","Dominica","country","region",""
+"DNK","Denmark","country","region",""
+"DOM","Dominican Republic","country","region",""
+"DZA","Algeria","country","region",""
+"ECU","Ecuador","country","region",""
+"EGY","Egypt","country","region",""
+"ERI","Eritrea","country","region",""
+"ESP","Spain","country","region",""
+"EST","Estonia","country","region",""
+"ETH","Ethiopia","country","region",""
+"FIN","Finland","country","region",""
+"FJI","Fiji","country","region",""
+"FLK","Falkland Islands (Malvinas)","country","region",""
+"FRA","France","country","region",""
+"FRO","Faroe Islands","country","region",""
+"GAB","Gabon","country","region",""
+"GBR","United Kingdom","country","region",""
+"GEO","Georgia","country","region",""
+"GHA","Ghana","country","region",""
+"GIN","Guinea","country","region",""
+"GLP","Guadeloupe","country","region",""
+"GMB","Gambia","country","region",""
+"GNB","Guinea-Bissau","country","region",""
+"GNQ","Equatorial Guinea","country","region",""
+"GRC","Greece","country","region",""
+"GRD","Grenada","country","region",""
+"GRL","Greenland","country","region",""
+"GTM","Guatemala","country","region",""
+"GUF","French Guiana","country","region",""
+"GUM","Guam","country","region",""
+"GUY","Guyana","country","region",""
+"HKG","Hong Kong (SAR of China)","country","region",""
+"HND","Honduras","country","region",""
+"HRV","Croatia","country","region",""
+"HTI","Haiti","country","region",""
+"HUN","Hungary","country","region",""
+"IDN","Indonesia","country","region",""
+"IND","India","country","region",""
+"IRL","Ireland","country","region",""
+"IRN","Iran","country","region",""
+"IRQ","Iraq","country","region",""
+"ISL","Iceland","country","region",""
+"ISR","Israel","country","region",""
+"ITA","Italy","country","region",""
+"JAM","Jamaica","country","region",""
+"JOR","Jordan","country","region",""
+"JPN","Japan","country","region",""
+"KAZ","Kazakhstan","country","region",""
+"KEN","Kenya","country","region",""
+"KGZ","Kyrgyzstan","country","region",""
+"KHM","Cambodia","country","region",""
+"KIR","Kiribati","country","region",""
+"KNA","Saint Kitts and Nevis","country","region",""
+"KOR","South Korea","country","region",""
+"KWT","Kuwait","country","region",""
+"LAO","Lao PDR","country","region",""
+"LBN","Lebanon","country","region",""
+"LBR","Liberia","country","region",""
+"LBY","Libya","country","region",""
+"LCA","Saint Lucia","country","region",""
+"LKA","Sri Lanka","country","region",""
+"LSO","Lesotho","country","region",""
+"LTU","Lithuania","country","region",""
+"LUX","Luxembourg","country","region",""
+"LVA","Latvia","country","region",""
+"MAC","Macao (SAR of China)","country","region",""
+"MAR","Morocco","country","region",""
+"MDA","Moldova","country","region",""
+"MDG","Madagascar","country","region",""
+"MDV","Maldives","country","region",""
+"MEX","Mexico","country","region",""
+"MKD","North Macedonia","country","region",""
+"MLI","Mali","country","region",""
+"MLT","Malta","country","region",""
+"MMR","Myanmar","country","region",""
+"MNE","Montenegro","country","region",""
+"MNG","Mongolia","country","region",""
+"MOZ","Mozambique","country","region",""
+"MRT","Mauritania","country","region",""
+"MSR","Montserrat","country","region",""
+"MTQ","Martinique","country","region",""
+"MUS","Mauritius","country","region",""
+"MWI","Malawi","country","region",""
+"MYS","Malaysia","country","region",""
+"NAM","Namibia","country","region",""
+"NCL","New Caledonia","country","region",""
+"NER","Niger","country","region",""
+"NGA","Nigeria","country","region",""
+"NIC","Nicaragua","country","region",""
+"NLD","Netherlands","country","region",""
+"NOR","Norway","country","region",""
+"NPL","Nepal","country","region",""
+"NRU","Nauru","country","region",""
+"NZL","New Zealand","country","region",""
+"OMN","Oman","country","region",""
+"PAK","Pakistan","country","region",""
+"PAN","Panama","country","region",""
+"PER","Peru","country","region",""
+"PHL","The Philippines","country","region",""
+"PNG","Papua New Guinea","country","region",""
+"POL","Poland","country","region",""
+"PRI","Puerto Rico","country","region",""
+"PRK","North Korea","country","region",""
+"PRT","Portugal","country","region",""
+"PRY","Paraguay","country","region",""
+"PSE","Palestine (State of)","country","region",""
+"PYF","French Polynesia","country","region",""
+"QAT","Qatar","country","region",""
+"REU","Reunion","country","region",""
+"ROU","Romania","country","region",""
+"RUS","Russia","country","region",""
+"RWA","Rwanda","country","region",""
+"SAU","Saudi Arabia","country","region",""
+"SDN","Sudan","country","region",""
+"SEN","Senegal","country","region",""
+"SGP","Singapore","country","region",""
+"SLB","Solomon Islands","country","region",""
+"SLE","Sierra Leone","country","region",""
+"SLV","El Salvador","country","region",""
+"SOM","Somalia","country","region",""
+"SPM","Saint Pierre and Miquelon","country","region",""
+"SRB","Serbia","country","region",""
+"SSD","South Sudan","country","region",""
+"STP","Sao Tome and Principe","country","region",""
+"SUR","Suriname","country","region",""
+"SVK","Slovakia","country","region",""
+"SVN","Slovenia","country","region",""
+"SWE","Sweden","country","region",""
+"SWZ","Eswatini","country","region",""
+"SYC","Seychelles","country","region",""
+"SYR","Syria","country","region",""
+"TCA","Turks and Caicos Islands","country","region",""
+"TCD","Chad","country","region",""
+"TGO","Togo","country","region",""
+"THA","Thailand","country","region",""
+"TJK","Tajikistan","country","region",""
+"TKM","Turkmenistan","country","region",""
+"TON","Tonga","country","region",""
+"TTO","Trinidad and Tobago","country","region",""
+"TUN","Tunisia","country","region",""
+"TUR","Türkiye","country","region",""
+"TWN","Taiwan (China)","country","region",""
+"TZA","Tanzania (the United Republic of)","country","region",""
+"UGA","Uganda","country","region",""
+"UKR","Ukraine","country","region",""
+"URY","Uruguay","country","region",""
+"USA","United States","country","region",""
+"UZB","Uzbekistan","country","region",""
+"VCT","Saint Vincent and the Grenadines","country","region",""
+"VEN","Venezuela","country","region",""
+"VGB","Virgin Islands (British)","country","region",""
+"VIR","Virgin Islands (U.S.)","country","region",""
+"VNM","Viet Nam","country","region",""
+"VUT","Vanuatu","country","region",""
+"WSM","Samoa","country","region",""
+"XKX","Kosovo","country","region",""
+"YEM","Yemen","country","region",""
+"ZAF","South Africa","country","region",""
+"ZMB","Zambia","country","region",""
+"ZWE","Zimbabwe","country","region",""
+"CONT_SOUTH_AMERICA","South America","aggregate","continent","Continent codes are prefixed: the continent and Ember-region partitions disagree about the names they share."
+"CONT_ASIA","Asia","aggregate","continent","Continent codes are prefixed: the continent and Ember-region partitions disagree about the names they share."
+"CONT_AFRICA","Africa","aggregate","continent","Continent codes are prefixed: the continent and Ember-region partitions disagree about the names they share."
+"CONT_EUROPE","Europe","aggregate","continent","Continent codes are prefixed: the continent and Ember-region partitions disagree about the names they share."
+"CONT_OCEANIA","Oceania","aggregate","continent","Continent codes are prefixed: the continent and Ember-region partitions disagree about the names they share."
+"CONT_NORTH_AMERICA","North America","aggregate","continent","Continent codes are prefixed: the continent and Ember-region partitions disagree about the names they share."
+"LATIN_AMERICA_AND_CARIBBEAN","Latin America and Caribbean","aggregate","ember_region",""
+"ASIA","Asia","aggregate","ember_region",""
+"AFRICA","Africa","aggregate","ember_region",""
+"EUROPE","Europe","aggregate","ember_region",""
+"MIDDLE_EAST","Middle East","aggregate","ember_region",""
+"OCEANIA","Oceania","aggregate","ember_region",""
+"NORTH_AMERICA","North America","aggregate","ember_region",""
+"ASEAN","ASEAN","aggregate","asean",""
+"AU","AU","aggregate","","Ember ships this only as a precomputed aggregate row; no membership column exists upstream, so it is not derivable."
+"EU","EU","aggregate","eu",""
+"G20","G20","aggregate","g20",""
+"G7","G7","aggregate","g7",""
+"MENA","MENA","aggregate","","Ember ships this only as a precomputed aggregate row; no membership column exists upstream, so it is not derivable."
+"OECD","OECD","aggregate","oecd",""
+"WORLD","World","aggregate","world",""

source.yml

@@ -0,0 +1,85 @@
+schema_version: 1
+id: ember
+name: Ember
+publisher: Ember
+description: Global electricity generation, capacity, demand and emissions, from Ember's
+  public bulk data releases.
+homepage: https://ember-energy.org/data/
+tags:
+- electricity
+- generation
+- capacity
+- emissions
+- global
+license: CC-BY-4.0
+license_url: https://creativecommons.org/licenses/by/4.0/
+license_file: LICENSE-CC-BY-4.0.txt
+citation: Yearly and monthly electricity data, Ember. https://ember-energy.org/data/
+attribution: 'Data: Ember - CC-BY-4.0'
+attribution_required: yes
+no_additional_restrictions: yes
+redistribution: permitted
+visibility: public
+notice_file: NOTICE.md
+disclaimer_file: DISCLAIMER.md
+disclaimer:
+  redistributor: OptimalSolution LLC
+  role: redistribution-only
+  responsibility: none
+  endorsement: none
+  affiliation: none
+  warranty: none
+  governing_terms: The original publisher's licence and terms govern.
+modifications: restructured
+scales:
+  geoscale: scales/ember_geoscale.json
+  leaftable: scales/ember_areas.csv
+  labels: scales/ember_labels.csv
+  reader: scales/ember_geoscale.R
+  geometry_ref: basemaps:ne_countries_50m
+  calendars: ../../scales/calendars.json
+retrieval:
+  method: bulk_csv
+  base_url: https://files.ember-energy.org/public-downloads/
+  api:
+    base_url: https://api.ember-energy.org
+    key_env: EMBER_API_KEY
+    freshness_path: /v1/options/{dataset}/{resolution}/date
+    note: Build-time only and never published. The bulk CSVs are the build path precisely
+      because they need no key, so the build is reproducible by anyone.
+  fetch_tool: scripts/fetch_ember.py
+  build_tool: r-worker/build_ember.R
+  files:
+  - dataset: generation_yearly
+    url: https://files.ember-energy.org/public-downloads/generation/outputs/release_generation_yearly_global.csv
+    bytes: 16086064
+    sha256: b535c81592424ba9c09cc735e7cc4baf0aa518daf116996d959845ca4ca54bf0
+    last_modified: Tue, 08 Sep 2026 17:01:30 GMT
+    fetched_at: '2026-09-17T15:16:18Z'
+  - dataset: generation_monthly
+    url: https://files.ember-energy.org/public-downloads/generation/outputs/release_generation_monthly_global.csv
+    bytes: 28105387
+    sha256: 993427c0ebe4f02d881f9374bda4f7a150ef4109a428085b8654dd1fd3cb15c7
+    last_modified: Tue, 08 Sep 2026 17:01:31 GMT
+    fetched_at: '2026-09-17T15:16:20Z'
+  - dataset: capacity_wind_solar_monthly
+    url: https://files.ember-energy.org/public-downloads/capacity/outputs/monthly_capacity_wind_solar_public_release_file.csv
+    bytes: 1192992
+    sha256: 770f6f7da74075efd6b541f3823efd4b3b87e29f733093982cc5c298ffc8fafb
+    last_modified: Mon, 07 Sep 2026 11:54:09 GMT
+    fetched_at: '2026-09-17T15:16:21Z'
+datasets:
+- ember_generation_yearly
+- ember_generation_monthly
+- ember_capacity_wind_solar_monthly
+notes:
+- Demand and carbon intensity are SERIES and measures inside the generation tables,
+  not separate datasets -- which is why the three bulk files cover what the API exposes
+  as six endpoints.
+- is_derived marks Ember's own aggregate series (Total generation, Clean, Fossil,
+  Renewables, Demand, ...). Summing across `series` without filtering it double-counts.
+- entity_kind separates countries from Ember's 15 precomputed aggregates. The groups
+  OVERLAP (EU is a subset of OECD), so summing across entity_id without filtering
+  double-counts differently.
+- AU and MENA have no membership column upstream and cannot be derived from country
+  rows; they are readable only as the aggregate rows Ember ships.