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Article

A Comprehensive Measurement of Progress toward Local SDGs with Geospatial Information: Methodology and Lessons Learned

1
National Geomatics Center of China, Beijing 100830, China
2
National-Local Joint Engineering Laboratory of Geo-Spatial Information Technology, Hunan University of Science and Technology, Xiangtan 411201, China
3
College of Geoscience and Surveying Engineering, China University of Mining & Technology (Beijing), Beijing 100083, China
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Faculty of Geographical Sciences, Beijing Normal University, Beijing 100875, China
5
Faculty of Geosciences and Environmental Engineering & State-Province Joint Engineering Laboratory of Spatial Information Technology for High-speed Railway Safety, Southwest Jiaotong University, Chengdu 611756, China
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2020, 9(9), 522; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9090522
Received: 13 July 2020 / Revised: 23 August 2020 / Accepted: 29 August 2020 / Published: 1 September 2020
The UN’s 2030 Agenda defined 17 Sustainable Development Goals (SDGs). In order to ensure the implementation of this global agenda, the UN proposed a systematic follow-up and review through indicator-based tracking and reporting of the progress with statistical and geospatial information toward SDGs at national, regional, and global levels. This has posed many technical and institutional challenges. Although international communities have devoted great attention to this hot topic, most of their work has focused on the conceptual design and preliminary testing. There are very few good practices for a comprehensive measurement and assessment of progress toward SDGs with the integration of statistical and geospatial information at national or local levels. This paper presents the methodology and results of a pioneer project which measured the progress toward SDGs at a local level in China (i.e., Deqing County) by integrating statistical and geospatial information. In this study, a number of technical/institutional issues have been tackled, such as the adoption of appropriate indicators at a local level, availability and acquisition of reliable data sets, and spatiotemporal analysis with a geographical perspective, interaction between SDGs and cross-sector coordination. The major conclusions are (a) the comprehensive progress toward SDGs in Deqing can be most appropriately measured and assessed by integrating geospatial and statistical information; (b) Deqing has made significant economic and social advances while maintaining a good ecological environment over the past few years. The results were released at the first United Nations World Geospatial Information Congress as a good practice and a live example to stimulate discussions. View Full-Text
Keywords: 2030 Agenda; Sustainable Development Goals (SDGs); geospatial information; indicators; measurement 2030 Agenda; Sustainable Development Goals (SDGs); geospatial information; indicators; measurement
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MDPI and ACS Style

Chen, J.; Peng, S.; Chen, H.; Zhao, X.; Ge, Y.; Li, Z. A Comprehensive Measurement of Progress toward Local SDGs with Geospatial Information: Methodology and Lessons Learned. ISPRS Int. J. Geo-Inf. 2020, 9, 522. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9090522

AMA Style

Chen J, Peng S, Chen H, Zhao X, Ge Y, Li Z. A Comprehensive Measurement of Progress toward Local SDGs with Geospatial Information: Methodology and Lessons Learned. ISPRS International Journal of Geo-Information. 2020; 9(9):522. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9090522

Chicago/Turabian Style

Chen, Jun, Shu Peng, Hao Chen, Xuesheng Zhao, Yuejing Ge, and Zhilin Li. 2020. "A Comprehensive Measurement of Progress toward Local SDGs with Geospatial Information: Methodology and Lessons Learned" ISPRS International Journal of Geo-Information 9, no. 9: 522. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9090522

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