Contact

• Email: caomin@njnu.edu.cn
• Office Address: Room 532A, School of Geographical Sciences, Nanjing Normal University
• Mailing address: School of Geographical Sciences, No. 1 Wenyuan Road, Nanjing Normal University

learning experience

• 2020/07 – present, Nanjing Normal University, School of Geographical Sciences, Professor
• 2014/07 – 2020/07, Nanjing Normal University, School of Geographical Sciences, Associate Professor
• 2015/08 - 2016/08, State University of New York at Buffalo, Department of Geography, Visiting Scholar
• 2015/04 - 2015/04, University of Wisconsin-Madison, Department of Geography, Study
• 2009/08 - 2014/06, Nanjing Normal University, School of Geographical Sciences, Lecturer
• 2004/09 - 2009/06, China University of Mining and Technology, Cartography and Geographic Information Engineering (Master-PhD combined), Ph.D.
• 2000/09 - 2004/06, China University of Mining and Technology, Land Resource Management, Bachelor

Main research direction

• 1. Sustainable Development Goals (SDGs): study the quantification of the SDGs of the United Nations Sustainable Development Goals, and explore the multi-index interaction mining of SDGs.
• 2. Urban big data mining: study the behavior patterns of urban residents and their impact on the urban spatial layout, and explore the interaction between people and land.
• 3. Geographic intelligence modeling: Geographic intelligence modeling for SDGs multi-objective collaboration, research modeling methods such as geographic cellular automata and spatial agent modeling.

Students who are interested in SDG, spatial data mining and geographic intelligence modeling, and who are interested in scientific research are welcome to apply for the postgraduate study of our team!
Major Social Part-time

• 1) Reviewer of IJGIS journal of International Journal of Geographical Information Science
• 2) Editorial board member of the journal "Modern Surveying and Mapping"
• 3) Member of Jiangsu Society of Surveying, Mapping and Geoinformatics

Honors and Awards

• 1) The research group completed the case "Analysis of Synergy and Trade-off Relationship between SDG Multi-Indicators in China", which was selected into the SDG Multi-Indicator Intersection and Synthesis Chapter (P114-119) of "Big Earth Data Supporting Sustainable Development Goals Report (2022)", New York local The time was officially released by the Chinese side on September 20, 2022 at the ministerial meeting of the United Nations "Group of Friends of the Global Development Initiative".
• 2) The Chinese case "Prediction of future land use scenarios under the interaction of multiple indicators" completed by the research group was selected into the multi-indicator cross chapter (P132-134) of the "Big Earth Data Supporting Sustainable Development Goals Report (2021)", see the English version Ministry of Foreign Affairs website (https://www.fmprc.gov.cn/mfa_eng/topics_665678/2030kcxfzyc/), and submitted to the United Nations by Foreign Minister Wang Yi.
• 3) The 3rd “Xingyuan Cup” Micro-Lesson Competition, School of Geographical Sciences, Nanjing Normal University, Second Prize, 2018.
• 4) Outstanding Young Backbone Teacher of Nanjing Normal University "Qinglan Project", 2017.
• 5) The Teaching Steering Committee of Surveying and Mapping Discipline in Higher Education Institutions of the Ministry of Education, National Teaching Skills Competition for Young Teachers of Surveying and Mapping Discipline in Colleges and Universities, Third Prize, 2011.

Recently published papers (*corresponding author)

• [1] Min Cao, Lijiao Chang, Shangjing Ma, Zijun Zhao, Kai Wu, Xue Hu, Qiushi Gu, Guonian Lü, and Min Chen. Multi-Scenario Simulation of Land Use for Sustainable Development Goals[J]. IEEE Journal of Selected Topics in Applied Earth Observations And Remote Sensing, 2022(15): 2119-2127. (SCI Zone 2)
• [2] Min Cao, Ying Liang, Yanhui Zhu, Guonian Lü and Zaiyang Ma. Prediction for Origin-Destination Distribution of Dockless Shared Bicycles: A Case Study in Nanjing City[J]. Frontiers in Public Health, 2022(10):849766 . doi: 10.3389/fpubh.2022.849766 (SCI Zone 1)
• [3] Min Cao, Mengxue Huang , Shangjing Ma , Guonian Lü & Min Chen (2020): Analysis of the spatiotemporal riding modes of dockless shared bicycles based on tensor decomposition, International Journal of Geographical Information Science, DOI: https://doi .org/10.1080/13658816.2020.1768259 (top SCI, SSCI)
• [4] Min Cao, Yanhui Zhu, Jinling Quan, Sheng Zhou, Guonian Lü, Min Chen*, Mengxue Huang. Spatial sequential modeling and predication of global land use and land cover changes by integrating a global change assessment model and cellular automata. Earth's Future. 2019, 7, 1102–1116. DOI: 10.1029/2019EF001228. (SCI, impact factor: 5.781, JCR District 1)
• [5] Min Cao, Mengxue Huang, Ruqi Xu, Guonian Lü, Min Chen*. A grey wolf optimizer–cellular automata integrated model for urban growth simulation and optimization. Transactions in GIS. 2019, 23:672–687. DOI: 10.1111 /tgis.12517 (SSCI)
• [6] Min Cao; Shangjing Ma; Mengxue Huang; Guonian Lü; Min Chen*. Effects of Free-Floating Shared Bicycles on Urban Public Transportation. ISPRS International Journal of Geo-Information. 2019, Volume 8, Issue 8, 323. ( SCIE, impact factor: 1.840)
• [7] Min Cao; Boqin Cai; Shangjing Ma; Guonian Lü; Min Chen*. Analysis of the Cycling Flow Between Origin and Destination for Dockless Shared Bicycles Based on Singular Value Decomposition. ISPRS International Journal of Geo-Information. 2019, Volume 8 , Issue 12, 573. (SCIE, impact factor: 1.840)
• [8] Min Cao, Yanhui Zhu, Guonian Lü, Min Chen* and Weifeng Qiao. Spatial distribution of global cultivated land and its variation between 2000 and 2010, from both agro-ecological and geopolitical perspectives. Sustainability. 2019, 11(5) : 1242. DOI: 10.3390/su11051242. (SSCI)
• [9] Min Cao, Sean J. Bennett*, Quanfei Shen and Ruqi Xu. A bat-inspired approach to define transition rules for a cellular automaton model used to simulate urban expansion, International Journal of Geographical Information Science (IJGIS), 2016, 30(10):1961-1979. DOI: 10.1080/ 13658816.2016.1151521 (top SCI, SSCI)
• [10] Min Cao, Guo'an Tang*, Quanfei Shen and Yanxia Wang. A new discovery of transition rules for cellular automata by using cuckoo search algorithm, International Journal of Geographical Information Science (IJGIS), 2015, Volume: 29, Issue : 5, pages: 806-824, DOI: 10.1080/13658816. 2014.999245. (top SCI)
• [11] Lu Yi, Cao Min*, Zhang Lei. A vector-based Cellular Automata model for simulating urban land use change. Chinese Geographical Science, 2015, Volume: 25, Issue: 1, pages: 74–84. DOI: 10.1007 /s11769-014-0719-9. (SCIE)
• [12] Yi Lu, Shawn Laffan*, Chris Pettit, Min Cao. Land use change simulation and analysis using a vector cellular automata (CA) model: A case study of Ipswich City, Queensland, Australia. Environment and Planning B: Urban Analytics and City Science. 2019, 0(0):1-17. DOI: 10.1177/2399808319830971. (SCI)
• [13] QIAO Weifeng, Gao Junbo, GUO Yuanzhi*, JI Qingqing, WU Ju, CAO Min. Multi-dimensional expansion of urban space through the lens of land use: The case of Nanjing City, China. Journal of Geographical Sciences, 2019 , 29(5): 749-761. DOI: https://doi.org/10.1007/s11442-019-1625-y (SCIE).
• [14] Weifeng Qiao, Yahua Wang, Qingqing Ji, Yi Hu, Dazhuan Ge*, Min Cao. Analysis of the evolution of urban three-dimensional morphology: The case of Nanjing City, China. Journal of Maps. 2019, 15(1 ): 30-38. DOI: 10.1080/17445647.2019.1568922. (SCI, SSCI)
• [15] TianXing Yu, LiYang Xiong, Min Cao, ZhiHui Wang, YiChi Zhang & Guo'An Tang. A new algorithm based on region partitioning for filtering candidate viewpoints of a multiple viewshed, International Journal of Geographical Information Science, 2016, 30( 11): 2171-2187. DOI: 10.1080/13658816.2016.1163571.
• [16] Qiao Weifeng, Wu Ju, Ge Junior College, Wang Yahua, Cao Min. Evaluation of the effectiveness of land use planning and control of construction land expansion in rapidly urbanizing areas: Taking Nanjing as an example. Geographical Research, 2019, 38(11): 2666-2680 .
• [17] Wang Yanxia, ​​Wu Jian, Zhou Liangguang, Hou Langong, Wang Wei, Cao Min*. Analysis of mineral spectral changes under different particle size conditions. Spectroscopy and Spectral Analysis, 2015, 35(3): 803-808.(SCIE)
• [18] Xu Ruqi, Cao Min*, Huang Mengxue, Zhu Yanhui. Research on TSP-like problem based on improved grey wolf optimization algorithm——Taking tourism as an example. Geography and Geographic Information Science, 2018, 34(2): 14-21.

Major scientific research projects undertaken (participated in)

• 1) National Natural Science Foundation of China General Project, Research on the spatial evolution simulation of the Yangtze River Delta urban agglomeration for SDGs multi-objective coordination, in charge, 2023.01-2026.12
• 2) National Natural Science Foundation of China General Project, Simulation Research on Spatial Integration Mechanism and Pattern Optimization of “Three Lives” in Rural Tourism Destinations, Participation (ranked second), 2023.01-2026.12
• 3) "Geospatial Knowledge Graph Representation Model", a sub-project of the 14th Five-Year National Key R&D Program "Geospatial Knowledge Graph and Knowledge Base Engine", in charge, 2021.12-2024.11
• 4) Key Laboratory Project of Urban Land and Resources Monitoring and Simulation of the Ministry of Natural Resources, SDGs-oriented regional land use evolution scenario simulation, presided over
• 5) Scientific research fund project of Jiangsu Bureau of Surveying and Mapping, research on spatiotemporal characteristics and layout optimization of shared bicycles in Nanjing, presided over
• 6) Project funded by the National Key Basic Research and Development Program, Simulation and Evaluation of the Interaction between Human Activities and Global Change (Project 1: Human Activities Deduction and Environmental Response Modeling Methods under Global Change), presided over the topic of global land use spatialization
• 7) National Natural Science Foundation of China General Program, Research on Irregular Vector Cellular Automata and Multi-agent Models Considering Urban Expansion Models, Principal
• 8) National Natural Science Foundation of China Youth Project, Modeling and Simulation of Regional LUCC Based on Vector Cellular Automata and Multi-agent, Principal
• 9) Research on the intelligent acquisition of cellular automata conversion rules based on bee colony algorithm, a general project of natural science research in universities in Jiangsu Province, presided over
• 10) Scientific research fund project of Jiangsu Bureau of Surveying and Mapping, Simulation of dynamic evolution of land use in Jiangsu Province in the past 30 years based on vector CA, presided over
• 11) The basic research project of natural science in universities in Jiangsu Province, the construction of 3D geometric model of urban buildings based on DSM and TDOM, in charge of
• 12) Nanjing Normal University Talent Research Start-up Fund Project, research on GIS spatiotemporal dynamic model based on cellular automata and multi-agent, presided over
• 13) National Natural Science Foundation of China General Project, DEM-based loess gully genealogy research, participated in
• 14) National Natural Science Foundation of China Youth Project, Analysis of Crowd Characteristics in Regional Geographical Scenes Based on Video Surveillance Data, Participated in
• 15) National Natural Science Foundation of China Youth Project, Research on service-based encapsulation method of heterogeneous geographic analysis model, participated in

Licensed Patents and Software

• 1. A global land use and land cover sequence spatialization method integrating GCAM and CA, publication number: CN109671003A.
• 2. A remote sensing image classification method based on bee colony intelligence, publication number: CN103049757A.
• 3. A method for obtaining conversion rules of geographic cellular automata based on swarm intelligence, publication number: CN102981891A.
• 4. The spatialization tool of land use based on cellular automata under the constraints of the global comprehensive assessment model, software copyright, registration number: 2019SR1219306.
• 5. Multi-scenario simulation system for SDGs-oriented land use evolution [abbreviation: SDGs-LUS] V1.0, software copyright, registration number: 2021SR1353743.