当前位置: X-MOL首页全球导师 国内导师 › 穆望舒

个人简介

教育经历 2014.8-2018.1 University of Arizona,地理学博士 2011.9-2014.6 华东师范大学,地理信息系统,硕士 2007.9-2011.6 华东师范大学,地理信息系统,学士 工作经历 2020.11至今 北京师范大学地理科学学部 地理数据与应用分析中心 讲师,硕士生导师 2018.3-2020.6 School of Geographical Sciences and Urban Planning, Arizona State University 博士后 承担课程 2021- 数据结构和C语言 2022- GIS前沿技术 科研项目 “十四五”国家重点研发计划:典型城市群都市圈多情景空间优化的技术集成及应用示范(2022YFC3800105)子课题:城市群都市圈空间组织与功能布局综合优化智能推演技术,2022-2026,主持 北师大青年教师基金项目: 空间优化问题的尺度效应及其求解方法 (2021NTST25) 2021-2023 主持 第二次青藏科考专题-人类活动影响与生存环境安全评估(2019QZKK0608),2022- 参与 科学院A类先导科技专项-美丽中国:限制开发区地理图景建构与红线管控(XDA23100303),2022- 参与 MURI ARO: Networked PalYnology Models of Pollen and Human Systems (NYMPHS) 2019-2022 参与 Vitalyst Health Foundation: Arizona Healthy Community Map 2018 参与 Arizona State University: Maricopa County Recorder Polling Place Optimization Tool 2017 参与 National Science Foundataion: Quantification and Reduction of Spatial Scale-Induced Uncertainty (1461390) 2015-2018 参与

研究领域

空间优化,地理计算,空间统计分析

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Mu, W., & Tong, D. (2022) A general model for creating robust choropleth maps. Computers, Environment and Urban Systems. 96 (2022), 101850. https://doi.org/10.1016/j.compenvurbsys.2022.101850 Mu, W., & Tong, D. (2022) Computation of the distance between a polygon and a point in spatial analysis. International Journal of Geographical Information Science. 36(8), 1575-1600. https://doi.org/10.1080/13658816.2021.1988088 Tong, D., Grubesic, T. H., Mu, W., Miller, J. A., Helderop, E., Jha, S., ... & Bienenstock, E. J. (2021). Identifying the spatial footprint of pollen distributions using the Geoforensic Interdiction (GOFIND) model. Computers, Environment and Urban Systems, 87, 101615. Plane, D. A., & Mu, W. (2021). A people-based density perspective on physical/virtual world spaces in the microcosmic city. Land Use Policy, 111, 104462. DOI: 10.1016/j.landusepol.2020.104462. Mu, W. & Tong, D. (2020). Distance in Spatial Analysis: Measurement, Bias, and Alternatives. Geographical Analysis. 52: 511-536. DOI: https://doi.org/10.1111/gean.12254 Mu, W. & Tong, D. (2020). Mapping uncertain geographical attributes: incorporating robustness into choropleth classification design. International Journal of Geographical Information Science. 34(11), 2204-2224, DOI: 10.1080/13658816.2020.1726921 Mu, W. & Tong, D. (2020). On Solving Large p-Median Problems, Environment and Planning B: Urban Analytics and City Science. 47(6) 981-996. DOI: 10.1177/2399808319892598. Mu, W. & Tong, D. (2019). Choropleth Mapping with Uncertainty: A Maximum Likelihood-Based Classification Scheme, Annals of the American Association of Geographers, 109(5), 1493-1510. Mu, W. & Tong, D. (2018). A Spatial‐knowledge‐enhanced Heuristic for Solving the p‐Median Problem. Transactions in GIS, 22(2), 477-493. Brown, H., Mu, W., Khan, M., Tsang, C., Liu, J., & Tong, D. (2017). Spatial Scale in Environmental Risk Mapping: A Valley Fever Case Study. Journal of Public Health Research, 6(2), 93-99. Zhou, J., Zhou, Y., & Mu, W. (2011). Mathematics Descriptors for Identifying Plant Species: A Case Study on Urban Landscape Vegetation. Yaogan Xuebao- Journal of Remote Sensing, 15(3), 524-530.

推荐链接
down
wechat
bug