An interdisciplinary analysis with data mining and visualization tools applied on multiple and multi-source time series - The case of the forest fund in Romania

Daniel Homocianu (), Dinu Airinei () and Ciprian Turturean ()
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Daniel Homocianu: Alexandru Ioan Cuza University of Iasi
Dinu Airinei: Alexandru Ioan Cuza University of Iasi

The Audit Financiar journal, 2018, vol. 16, issue 151, 382

Abstract: Starting from the idea of poor biodiversity conservation which continues to be one of the major both national and international current problems, this paper focuses on the analysis of the evolution of the forest fund and also on the validation of a set of hypothesis regarding specific indicators related to this evolution with a special consideration for interrelations and future trends based on a custom data mining model. The time series data was provided by the Romanian Ministry of the Environment, National Bank of Romania, Romanian Court of Accounts, National Institute of Statistics, Eurostat, Global Forest Watch, Global Forest Change, Google Earth and Transparency International. This data was filtered, calibrated, exported in order to be collected and integrated into a single online spreadsheet shared for open access and then progressively refined. It served as source of online representations under the form of interactive charts and maps or other visual metaphors able to capture the space-time evolution and distribution and provide basic support for querying. Finally, it was also the starting point for further time series analysis by using data mining tools. The results confirm the hypotheses formulated also on the basis of worrying satellite data and supported by the scientific literature. They also emphasize the influence of some historical moments associated with the appearance of specific laws progressively allowing an increasing private share of forests and also with the Romania’s alignment to the European Union on the evolution of some forest fund indicators.

Keywords: biodiversity conservation; forestry; interdisciplinary approach; interactive visualizations; multiple time series; data mining (search for similar items in EconPapers)
JEL-codes: C32 C88 Q23 Q57 Y10 Y91 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:aud:audfin:v:16:y:2018:i:151:p:382

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