Acta Univ. Agric. Silvic. Mendelianae Brun. 2018, 66, 1301-1306

https://doi.org/10.11118/actaun201866051301
Published online 2018-10-29

Spatial Data Driven Evaluation of City Locations

Mikuláš Muroň, David Procházka

Department of Informatics, Faculty of Business and Economics, Mendel University in Brno, Zemědělská 1, 613 00 Brno, Czech Republic

Moving to a new home or setting a new bureau in a new city is always difficult. One does not have knowledge about suitable locations; therefore, people are frequently unpleasantly surprised. High traffic noise, long distance to shops or high criminal activity are just few of many possible disturbing aspects. Certainly, there are many data sources that can help to see some particular aspect of the city life. Nonetheless, it is extremely complex and time‑consuming task to browse through large data sets and com‑pare provided information. Therefore, we developed a solution that comprises many different data sets that describe the city environment and created set of straightforward indices such as environment, safety, shopping etc. The users just provide the application his/her preferences and the application finds locations that are most suitable for particular cause. The application is presented on the example of the Brno city area.

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