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Urban SDG Measuring System using the Open Geospatial Data of the International Organizations

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Urban SDG Measuring System using the Open Geospatial Data of the International Organizations
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33
Number of Parts
193
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CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Release Date2016
LanguageEnglish

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Abstract
As a post Millennium Development Goals(MDG), 17 Sustainable Development Goals(SDG) and 169 indicators were adopted at 2015 in the UN general assembly. Especially as the developing countries are predicted to face rapid urbanization until the 2030, Cities attract more and more attentions for achieving SDGs because most activities occur in the cities. But the activities are closely related to spatial phenomena. It is essential to consistently construct the spatial database for developing and developed countries and uniformly measure and monitor the indicators of urban SDGs which is operationally defined in this presentation as a SDG 9 and 11. In this regards, open geospatial data present both possibilities and limitations for urban SDG measurement. In this presentation, we analyze open database from UN agencies and Multilateral Development Banks(MDB) and measure and predict the urban SDG until the 2030 using that database. To that end, we analyze the related open data structure of those international organizations and develop a UN SDG monitoring system based on the FOSS4G solutions such as PostGIS and GeoServer. Choi, Junyoug (Spatial Information office, Korea Land and Housing corp., Republic of Korea) Hyunsoo Kim (CITUS. CO) Jaeseong Ahn (Kyungil University)
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