climate-awareness

Regional Geocoding Harmonization Case Study - Regional Climate Change Awareness Datasets

In the previous example we created a longitudional dataset that contains data on the attitudes European people in various countries, provinces and regions thought climate change was a serious world problem back in 2013, 2015, 2017 and 2019. We will now fix the geographical information for mapping.

Where Are People More Likely To Treat Climate Change as the Most Serious Global Problem?

We created a longitudinal dataset that contains data on the attitudes European people in various countries, provinces and regions thought climate change was a serious world problem back in 2013, 2015, 2017 and 2019. We join the data with air pollution data so that we can see how serious is the environmental degradation in the smaller area of each (anonymous) respondent.

Retrospective Survey Harmonization Case Study - Climate Awareness Change in Europe 2013-2019.

In this example we are working with data from surveys that were ex ante harmonized to a certain degree – in our tutorials we are choosing questions that were asked in the same way in many natural languages. For example, you can compare what percentage of the European people in various countries, provinces and regions thought climate change was a serious world problem back in 2013, 2015, 2017 and 2019.