DBPapers
DOI: 10.5593/SGEM2014/B21/S8.110

THE NEED FOR SPATIAL ANALYSIS IN HANDLING CONTAMINATION ENVIRONMENTAL RESOURCES AND HUMAN HEALTH IN TERMS OF SIMPLICITY AND COMPLEXITY

I. M. Ifadis
Wednesday 1 October 2014 by Libadmin2014

References: 14th International Multidisciplinary Scientific GeoConference SGEM 2014, www.sgem.org, SGEM2014 Conference Proceedings, ISBN 978-619-7105-10-0 / ISSN 1314-2704, June 19-25, 2014, Book 2, Vol. 1, 857-864 pp

ABSTRACT
It is well known that any human being without air survives a few moments, without water a few hours and no more than a few days without food. In spite of these facts never a fair study has cover or shown the effects of the bad quality of these three parameters. Air pollution, water contamination or bad food quality are not cute lethal factors but no one knows or has proven in reality how they affect in the long run, not alone but in any combination and even more the influence of one to another. Perhaps the complexity of the case makes such a study extremely difficult, therefore prohibitive and selectively or by necessity is driven to simplicity. On the other hand simplicity is somehow what people, investors/big or small companies and even government officials prefer to know. The arising/immediate question is whether the research serve the specific purposes of its funders or protect them against any kind of questionable or selfseeker results. In this report we refer in some examples of simplicity in research cases and try to implement the necessity of complexity because nowadays research results cannot be given only as lifeless numbers in tables or graphs. Conclusions and suggestions as results, especially in environmental aspects related to society, are either difficult or “dangerous”. We believe that research and especially Academic ought to protect society on the first and secondly give to companies and especially to the government officials the correct and exact (if possible) information and “icon”, in other words ring the bell of information/knowledge in order to hear.

Keywords: Complexity, Simplicity, Social Geoinformatics, Spatial Analysis

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