Geographia Technica, Vol 16, Issue 2, 2021, pp. 183-192
BUILDING AND EXPLORING NETWORK DATA MODEL FOR A SEASON LEVEL CLIMATE CHANGE STUDY FOR FIVE LARGE CITIES IN HUNGARY
Zsolt MAGYARI-SÁSKA 
ABSTRACT: Since a few years or decades, climate change has an impact felt in a very visible way in everyday life. People are increasingly confronted with its negative effects. Naturally, scientific research on the subject is multiplying. The present exploratory study attempts to present a network modelling approach on studying climate change. Networks are increasingly present in different areas of life, but have not played a significant role in climate research. This publication attempts to assess climate changes at five municipalities in Hungary by developing and analyzing three network data models. The developed different data models provide an opportunity to approach climate change from different perspectives, as the change itself is multifaceted. Data analyses are based solely on the structural indicators of the constructed networks, the measured weather characteristics only contributing to the construction of the data model. The obtained results for each location and season are complex, but interpreting them together helps to see the variations and their different nature.
Keywords: Graph model, Data mining, Big data, Complex network, Similarity measure, R-CRAN
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