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Geographically and temporally neural network weighted regression for modeling spatiotemporal non-stationary relationships
International Journal of Geographical Information Science ( IF 5.7 ) Pub Date : 2020-06-16 , DOI: 10.1080/13658816.2020.1775836 Sensen Wu 1, 2 , Zhongyi Wang 1 , Zhenhong Du 1, 2 , Bo Huang 3, 4 , Feng Zhang 1, 2 , Renyi Liu 1, 2
International Journal of Geographical Information Science ( IF 5.7 ) Pub Date : 2020-06-16 , DOI: 10.1080/13658816.2020.1775836 Sensen Wu 1, 2 , Zhongyi Wang 1 , Zhenhong Du 1, 2 , Bo Huang 3, 4 , Feng Zhang 1, 2 , Renyi Liu 1, 2
Affiliation
Geographically weighted regression (GWR) and geographically and temporally weighted regression (GTWR) are classic methods for estimating non-stationary relationships. Although these methods have be...
中文翻译：
用于建模时空非平稳关系的地理和时间神经网络加权回归
地理加权回归 (GWR) 和地理和时间加权回归 (GTWR) 是估计非平稳关系的经典方法。虽然这些方法已经...
更新日期：2020-06-16
中文翻译：
用于建模时空非平稳关系的地理和时间神经网络加权回归
地理加权回归 (GWR) 和地理和时间加权回归 (GTWR) 是估计非平稳关系的经典方法。虽然这些方法已经...
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