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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

Author

Listed:
  • Daniel HOMOCIANU

    (Alexandru Ioan Cuza University of Iasi)

  • Dinu AIRINEI

    (Alexandru Ioan Cuza University of Iasi)

  • Ciprian Ionel TURTUREAN

    (Alexandru Ioan Cuza University of Iasi)

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.

Suggested Citation

  • Daniel HOMOCIANU & Dinu AIRINEI & Ciprian Ionel TURTUREAN, 2018. "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," The Audit Financiar journal, Chamber of Financial Auditors of Romania, vol. 16(151), pages 382-382.
    • Handle: RePEc:aud:audfin:v:16:y:2018:i:151:p:382
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    References listed on IDEAS

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    1. Ernesto Dal Bó & Pablo Hernández & Sebastián Mazzuca, 2015. "The Paradox of Civilization: Pre-Institutional Sources of Security and Prosperity," NBER Working Papers 21829, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Dinu AIRINEI & Daniel HOMOCIANU, 2019. "Using the GiPlot Online Interactive Tool to Explore Business and Financial Data in the Context of the Ex Post Component of the Audit," The Audit Financiar journal, Chamber of Financial Auditors of Romania, vol. 17(156), pages 628-628.

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    More about this item

    Keywords

    biodiversity conservation; forestry; interdisciplinary approach; interactive visualizations; multiple time series; data mining;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics
    • Y10 - Miscellaneous Categories - - Data: Tables and Charts - - - Data: Tables and Charts
    • Y91 - Miscellaneous Categories - - Other - - - Pictures and Maps

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