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Using sub-national geographical information, we can connect air pollution measurements and satellite images of light pollution or deforestration with social and economic indicators, and even individual opinion polling data.

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.

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.

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.

Retrospective survey harmonization allows the comparison of opinion poll data conducted in different countries or time. 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.

Milos Popovic is a researcher, a data scientist, Marie Curie postdoc & Top 10 dataviz & R contributor on Twitter according to NodeXL. He is going to join the Data & Lyrics team on International Open Data Day to help us put harmonized environmental degradation perception and environmental sensory data on maps. We asked him four questions about his passion, mapping data. Please join us 6 March 2021 9.30 EST / 15.30 CET for an informal digital coffee.