As my twitter profile once mentioned: "interested in all things spatial". That's where you can end up if you are willing to mix geography with any other science. I have worked three months in collaboration with the department of Food Hygiene and Environmental Health in the faculty of veterinary medicine of University of Helsinki.
There have not been big problems with the topic as my part of the research consist of things I use to do otherwise, too. The main data source, the hygiene of the restaurants is completely random big data set and first of a kind in my career. Anyhow, I have been able to use also socioeconomic data, which I'm maybe the most familiar with. So all in all, I made a regression analysis which measured, will the location and area's socioeconomic factors predict the hygiene of the restaurant. These I have been done earlier, too. Regression analysis is a good method to compare some phenomena with other factors. In this analysis, location and socioeconomic data explained only one fifth of the hygiene of the restaurant. This result gives room for possible other features which might affect on the hygiene of the restaurant. All in all, as prof. Inkinen, concluded, the small explainable power is actually good thing, cause we don't want that the location or socioeconomic factors of the area it is located, would affect on the quality of the restaurant?
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July 2018
AuthorJuho Kiuru, geographer living in Helsinki, Finland. |