Add all Gapminder World CO2 indicators from CDIAC

[jheeffer]

There are a number of Gapminder World CO2 indicators which are built in this dataset. They have CDIAC data as source but we do some special Gapminder magic to create them from CDIAC data.

The GW indicators are:

• Yearly CO2 emissions (1000 tonnes) GW SG SG concepts

  • concept: yearly_co2_emissions_1000_tonnes
  • unit: 1000 metric tonnes
  • source: Latest version of total emission from CDIAC, with the following adjustments:
  • CDIAC data is the amount of Carbon (C) and calculation must be done to convert Carbon into Carbon Dioxide (CO2): C[(12+162)/12].
  • Set negative values to zero
  • Map CDIAC entities to Gapminder entities. Split and merge of certain entities in CDIAC dataset necessary, see issue https://github.com/open-numbers/ddf--gapminder--co2_emission/issues/1 Split & merge might be hard and we can wait with doing this. Deep merge will fix this until we get rid of GW as a base completely.

• Yearly CO2 emissions (2012 version) GW SG SG concepts

  • concept: yearly_co2_emissions_tonnes This is an old version of yearly_co2_emissions_1000_tonnes. This should NOT be included in this dataset. We should remove this from SG too.

• Cumulative CO2 emissions (tonnes) GW SG

  • concept: cumulative_co2_emissions_tonnes
  • unit: metric tonnes
  • source: cumulative sum of yearly_co2_emissions_1000_tonnes in this dataset * 1000

• CO2 per capita (tonnes per person) GW SG

  • concept: co2_emissions_tonnes_per_person
  • unit: metric tonnes per person
  • source: yearly_co2_emissions_1000_tonnes from this dataset / population from gapminder--population * 1000

For completeness sake:

• CO2 intensity of economic output (kg CO2 per 2005 PPP $ of GDP) GW Comes straight from World Bank and MUST NOT be in gapminder co2 dataset.