Chen, M.; Chen, Y.; Wilson, J.P.; Tan, H.; Chu, T.
Using an Eigenvector Spatial Filtering-Based Spatially Varying Coefficient Model to Analyze the Spatial Heterogeneity of COVID-19 and Its Influencing Factors in Mainland China. ISPRS Int. J. Geo-Inf. 2022, 11, 67.
https://doi.org/10.3390/ijgi11010067
AMA Style
Chen M, Chen Y, Wilson JP, Tan H, Chu T.
Using an Eigenvector Spatial Filtering-Based Spatially Varying Coefficient Model to Analyze the Spatial Heterogeneity of COVID-19 and Its Influencing Factors in Mainland China. ISPRS International Journal of Geo-Information. 2022; 11(1):67.
https://doi.org/10.3390/ijgi11010067
Chicago/Turabian Style
Chen, Meijie, Yumin Chen, John P. Wilson, Huangyuan Tan, and Tianyou Chu.
2022. "Using an Eigenvector Spatial Filtering-Based Spatially Varying Coefficient Model to Analyze the Spatial Heterogeneity of COVID-19 and Its Influencing Factors in Mainland China" ISPRS International Journal of Geo-Information 11, no. 1: 67.
https://doi.org/10.3390/ijgi11010067
APA Style
Chen, M., Chen, Y., Wilson, J. P., Tan, H., & Chu, T.
(2022). Using an Eigenvector Spatial Filtering-Based Spatially Varying Coefficient Model to Analyze the Spatial Heterogeneity of COVID-19 and Its Influencing Factors in Mainland China. ISPRS International Journal of Geo-Information, 11(1), 67.
https://doi.org/10.3390/ijgi11010067