专 著

  • 赵阳阳,杨毅,刘纪平等.时空地理加权回归方法原理与应用[M].成都:西南交通大学出版社,2022.

 期 刊

  • Han，J.;Yang, Y.;Yang*, X.;Wang, D.;Wang,X.;Sun,P.,Exploring air pollution characteristics from spatio-temporal perspective: A case study of the top 10 urban agglomerations in China.[J]. Environmental research,2023,224.(SCI)

  • Han, J.; Kang*, X.; Yang, Y.; Zhang, Y., Geographically and temporally weighted principal component analysis: a new approach for exploring air pollution non-stationarity in China, 2015–2019. Journal of Spatial Science 2022, 1-18.(SCI)

  • Chai, Z.; Yang*, Y.; Zhao, Y.; Fu, Y.; Hao, L., Exploring the Effects of Contextual Factors on Residential Land Prices Using an Extended Geographically and Temporally Weighted Regression Model[J]. Land,2021,10(11). (SSCI, Corresponding author)

  • Wang, D.; Yang*, Y.; Qiu, A.; Kang, X.; Han, J.; Chai, Z., A CUDA-Based Parallel Geographically Weighted Regression for Large-Scale Geographic Data. ISPRS International Journal of Geo-Information 2020, 9 (11).(SCI, Corresponding author)

  • Qiu, A.; Yang*, Y.; Wang, D.; Xu, S.; Wang, X., Exploring parameter selection for carbon monitoring based on Landsat-8 imagery of the aboveground forest biomass on Mount Tai[J]. European Journal of Remote Sensing,2020,53(sup1). (SCI, Corresponding author)

  • Liu, J.; Zhao, Y.; Yang*, Y.; Xu, S.; Zhang, F.; Zhang, X.; Shi, Li.; Qiu, A., A Mixed Geographically and Temporally Weighted Regression: Exploring Spatial-Temporal Variations from Global and Local Perspectives[J]. Entropy,2017,19(2). (SCI, Corresponding author)

  • Yang*, Y.; Liu, J.; Xu, S.; Zhao, Y. , An Extended Semi-Supervised Regression Approach with Co-Training and Geographical Weighted Regression: A Case Study of Housing Prices in Beijing[J]. ISPRS International Journal of Geo-Information,2016,5(1). (SCI, First and Corresponding author)

  • Liu, J.; Yang*, Y.; Xu, S.; Zhao, Y.; Wang, Y.; Zhang, F., A Geographically Temporal Weighted Regression Approach with Travel Distance for House Price Estimation[J]. Entropy,2016,18(8). (SCI, Corresponding author)

  • 李丽,李开鑫,杨毅,费鲜芸,周薇薇.网络GIS开发基础”课程教学方法改革[J].教育教学论坛. 2021(33)

  • 刘振涛,杨毅,王东超,谢晓尧.一种基于CUDA的大数据量地理加权回归并行加速算法[J].测绘通报. 2020(12)

  • 张俊杰,杨毅,蒋廷臣,徐胜华.时空异质性探测的上海市房价演进分析[J].测绘科学. 2020(12)

  • 杨毅,韩加宽,许梁. 微课导学模式在水准测量教学中的应用探究[J].测绘与空间地理信息. 2020(10)

  • 刘付程,杨毅,张林,魏陶荣馨,王宇涵,夏量.沉积物粒度组分空间预测的神经网络残余kriging方法[J].海洋通报. 2020(03)

  • 刘付程,徐胜华,杨毅,卢霞.空间统计分析方法的高校生源分区研究[J].测绘科学. 2019(11)

  • 赵阳阳,刘纪平,杨毅,张福浩,仇阿根.混合时空地理加权回归及参数的两步估计[J].计算机科学. 2017(03)

  • 赵阳阳,刘纪平,杨毅,石丽红,王梅.一种协同时空地理加权回归PM2.5浓度估算方法[J].测绘科学. 2016(12)