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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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