吴晓静

吴晓静，1986年生，博士，山东菏泽人，中国科学院地理科学与资源研究所副研究员，硕士生导师。2016年毕业于荷兰特文特大学国际地理信息科学与地球观测学院，获地理信息科学博士学位。2017-2020年在新加坡科技设计大学和北京师范大学从事博士后研究。2020年7月至今在中国科学院地理科学与资源研究所工作。主持和参与国家自然科学基金、国家重点研发计划和科技部国家专项等项目。共发表论文30余篇，其中以第一作者发表SCI论文16篇，主要发表在Annals of the Association of American Geographers、International Journal of Geographical Information Science、Journal of Geophysical Research: Biogeosciences、Science of the Total Environment等学术期刊。

 

研究领域与研究方向

研究领域：地图学与地理信息系统、生态信息学

研究方向：时空数据挖掘和深度学习方法在生态和地理大数据中的应用

 

代表性著作：

Wu, Xiaojing, et al., 2022. Spatial sampling design optimization of monitoring network for terrestrial ecosystem in China. Science of The Total Environment, 847(2022): 157397. 

Wu, Xiaojing, et al., 2020. An overview of clustering methods for geo-referenced time series-from one-way clustering to co- and tri-clustering. International Journal of Geographical Information Science, 34(9): 1822-1848. 

Wu, Xiaojing, et al., 2020. Spatiotemporal differentiation of spring phenology in China driven by photoperiod and temperatures from 1979 to 2018. Science China-Earth Sciences, 63(10): 1485-1498. 

Wu, Xiaojing, et al., 2020. An interactive web-based geovisual analytics platform for co-clustering analysis. Computers & Geosciences, 137(2020): 104420.

Wu, Xiaojing, et al., 2018. Tri-clustering georeferenced time series for analyzing patterns of intra-annual variability in temperature. Annals of the American Association of Geographers, 108(1): 71-87. 

Wu, Xiaojing, et al., 2016. A novel analysis of spring phenological patterns over Europe based on co-clustering. Journal of Geophysical Research: Biogeosciences, 121(6): 1434-1448. 

Wu, Xiaojing, et al., 2015. Co-clustering geo-referenced time series: exploring spatio-temporal patterns in Dutch temperature data. International Journal of Geographical Information Science, 29(4): 624-642.

招生专业：地图学与地理信息系统

招生方向：基于数据驱动的生态和地理大数据挖掘