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STS583 Daniel C.


                            Using GIS and Official Statistics to support
                         assessments of risk to sustainable development

                                 from Environmental Degradation
                                           Daniel Clarke
                                 United Nations, ESCAP Statistics Division
                                                                  1

            Abstract
            Modern methods for risk assessment, in the insurance industry, for example,
            make use of a variety of sources of economic, social and environment statistics
            for measurement of exposure, vulnerability and coping capacity in relation to
            probabilities  of  future  hazards.  The  Sendai  Framework  for  Disaster  Risk
            Reduction  and  the  UN  Sustainable  Development  Goals  recognizes
            environmental hazards, associated with environmental degradation, as one of
            the serious risks to sustainable development. Moreover, ecosystems in good
            condition can boost resilience against potential hazards or other threats to
            sustainable  development.  Ecosystem  degradation  as  well  as  impacts  of
            hazards result together in losses of ecosystem services and increase countries'
            vulnerability  both  from  material  and  financial  points  of  view.  Based  on
            experience from conducting pilot tests of applications for geospatial data in
            the Southeast Asia region, this study investigates how statistical evidence can
            be  integrated  into  environmental  management    policy-making,  especially
            through mitigating risks from environmental hazards and by quantifying the
            exposure to potential hazards, in terms of population and financial exposure,
            which  could  be  used  as  an  important  input  for  conducting  cost-benefit
            analyses  for  environmental  management  and  sustainable  development
            planning.  Using GIS and grid-based assimilation of data to integrate a broad
            range of datasets, exposure to potential environmental hazards are identified
            in order to help design policies to counteract or reduce risks to the health an
            sustainability of these communities.  The results of this study include methods
            for integrating official statistics with earth observation data, which could be
            applied  and  adapted  by  national  statistics  agencies  for  sustainability
            assessments at multiple scales.

            Keywords
            Environmental  Management;  Geographic  Information  Systems;  Risk
            Assessment; Official Statistics

            1.  Introduction
                Use of geographic information system (GIS) technologies for integration
            of official statistics with geospatial datasets, produced from remote sensing


            1  any views expressed in this paper belong to the author only and in no way should be
            interpreted as a position of the United Nations.
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