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STS583 Daniel C.
            5.  Discussion and Conclusion
                Integration of geospatial datasets with official statistics from traditional
            sources creates new potential for evidence-based sustainable environmental
            management,  and  datasets  with  comparable  definitions  can  be  applied  to
            analyses at flexible scales. The basic risk model can be used as an organizing
            framework for integration of the full range of types and formats of geospatial
            datasets  for  an  integrated  assessment  of  environmental  degradation  for
            informing sustainable environmental management.
                It’s crucial that population and social statistics are integrated into these
            environmental risk assessments because societies are a major influence on the
            condition of ecosystems everywhere and location of population and economic
            activities can be used to help policy-makers understand the potential costs
            and  benefits  from    reducing    risks  and  protecting    ecosystems  for  future
            generations.
                The geographic scale of analyses is crucial. Fortunately, after the datasets
            have  been  integrated  into  a  GIS  platform,  the  scale  of  analyses  becomes
            flexible.

            References
            1.  Kalkhan, Mohammed A. (2011) Spatial Statistics.  CRC Press Taylor &
                Francis Group,  Boca Raton, Florida, USA
            2.  ESCAP (2018). Disaster-related Statistics Framework – Final Draft, Expert
                Group on disaster-related statistics in Asia and the Pacific,
            3.  United Nations (2012) System of Environmental-Economic Accounting –
                Central Framework, United Nations, European Union, Food and
                Agriculture Organization of the United Nations, International Monetary
                Fund, Organisation for Economic Co-operation and Development and
                the World Bank. ISBNI 987-92-1-161563-0, New York, USA
            4.  Bangladesh DHS 2014, India DHS 2015-16, Nepal DHS 2016,  Datasets,
                Demographic an health Surveys (DHS) Programme, accessed Jan. 2019
            5.   German Aerospace Centre (DLR) Global Urban Footprint
                (https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-9628/16557_read-
                40454/)
            6.  Night time Imagery from Earth Observation Group, NOAA National
                Centers for Environmental Information, National Oceanic and
                Atmospheric Administration, U.S. Department of Commerce.  Accessed
                March, 2019
            7.  UNISDR GAR 2015 Risk Data Platform
                https://risk.preventionweb.net/capraviewer/main.jsp?countrycode=g15
            8.  https://www.reuters.com/article/us-southeast-asia-tourism-
                environment/southeast-asia-closes-island-beaches-to-recover-from-
                climate-change-and-tourism-idUSKBN1H3209



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