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Data in the Global assessment comes from a mix of global data sources that allow us to compare across nations and territories. For some data sources like the United Nations and the World Bank, individual countries like Thailand report their data and the UN aggregates it and provides it for others. Other data sources are from scientific studies or reports, or from satellites. The full list, goal-by-goal, is here: http://ohi-science.org/ohi-global/layers_table.
Each year we reevaluate the data sources included in Global Assessments so that we are using the best available data that represents each nation and territory. However, there can be gaps in these data, where some countries in some data sources are not represented. In these cases, we "gapfill" using models and other available data. While imperfect, estimating scores for countries with missing data is preferred over providing a 0 or "not applicable" score. (Learn more about our gapfilling process in Frazier et al. 2016).
Exploring data gaps country-by-country is something we did in May 2018 at an "OHI-Go" workshop in Samoa; the agenda links to slides and data as we walked through this example. http://ohi-science.org/sam/workshop.html
The text was updated successfully, but these errors were encountered:
Data in the Global assessment comes from a mix of global data sources that allow us to compare across nations and territories. For some data sources like the United Nations and the World Bank, individual countries like Thailand report their data and the UN aggregates it and provides it for others. Other data sources are from scientific studies or reports, or from satellites. The full list, goal-by-goal, is here: http://ohi-science.org/ohi-global/layers_table.
Each year we reevaluate the data sources included in Global Assessments so that we are using the best available data that represents each nation and territory. However, there can be gaps in these data, where some countries in some data sources are not represented. In these cases, we "gapfill" using models and other available data. While imperfect, estimating scores for countries with missing data is preferred over providing a 0 or "not applicable" score. (Learn more about our gapfilling process in Frazier et al. 2016).
Exploring data gaps country-by-country is something we did in May 2018 at an "OHI-Go" workshop in Samoa; the agenda links to slides and data as we walked through this example. http://ohi-science.org/sam/workshop.html
The text was updated successfully, but these errors were encountered: