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I don't think this is a fair representation - for example it makes Estonia and Kosovo stand out in the world as the worst offenders. However they have relativel

I don't think this is a fair representation - for example it makes Estonia and Kosovo stand out in the world as the worst offenders. However they have relatively tiny populations (1.3 million and 1.9 million respectively); the actual CO2 impact of them is miniscule in the world, even if per-capita CO2 seems high.

Sankozi 5y ago
If we divide whole map into small enough regions then all of them would be "green" by your reasoning. All kinds of problems can be "solved" that way.
- EForEndeavour 5y ago
  Related: https://en.wikipedia.org/wiki/Modifiable_areal_unit_problem https://en.wikipedia.org/wiki/Modifiable_areal_unit_problem > The modifiable areal unit problem (MAUP) is a source of statistical bias that can significantly impact the results of statistical hypothesis tests. MAUP affects results when point-based measures of spatial phenomena are aggregated into districts, for example, population density or illness rates. The resulting summary values (e.g., totals, rates, proportions, densities) are influenced by both the shape and scale of the aggregation unit. > For example, census data may be aggregated into county districts, census tracts, postcode areas, police precincts, or any other arbitrary spatial partition. Thus the results of data aggregation are dependent on the mapmaker's choice of which "modifiable areal unit" to use in their analysis. A census choropleth map calculating population density using state boundaries will yield radically different results than a map that calculates density based on county boundaries.
woile 5y ago
i think you can read the map as "the effort each country has done to go green". and then it's valid.
lbriner 5y ago
The same logic means that they should find it easier to create a solution since they only have to supply a small number of people so I guess it balances out.

Sankozi 5y ago

If we divide whole map into small enough regions then all of them would be "green" by your reasoning. All kinds of problems can be "solved" that way.

EForEndeavour 5y ago
Related: https://en.wikipedia.org/wiki/Modifiable_areal_unit_problem https://en.wikipedia.org/wiki/Modifiable_areal_unit_problem > The modifiable areal unit problem (MAUP) is a source of statistical bias that can significantly impact the results of statistical hypothesis tests. MAUP affects results when point-based measures of spatial phenomena are aggregated into districts, for example, population density or illness rates. The resulting summary values (e.g., totals, rates, proportions, densities) are influenced by both the shape and scale of the aggregation unit. > For example, census data may be aggregated into county districts, census tracts, postcode areas, police precincts, or any other arbitrary spatial partition. Thus the results of data aggregation are dependent on the mapmaker's choice of which "modifiable areal unit" to use in their analysis. A census choropleth map calculating population density using state boundaries will yield radically different results than a map that calculates density based on county boundaries.

woile 5y ago

i think you can read the map as "the effort each country has done to go green". and then it's valid.

lbriner 5y ago

The same logic means that they should find it easier to create a solution since they only have to supply a small number of people so I guess it balances out.