Inferring the heterogeneous effect of urban land use on building height with causal machine learning

Yimin Chena School of Geography and Planning, and Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, ChinaCorrespondence[email protected]
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Jing Chena School of Geography and Planning, and Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, ChinaView further author information

Shuai Zhaoa School of Geography and Planning, and Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, ChinaView further author information

Xiaocong Xua School of Geography and Planning, and Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, ChinaView further author information

Xiaoping Liua School of Geography and Planning, and Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, ChinaView further author information

Xinchang Zhangb School of Geography and Remote Sensing, Guangzhou University, Guangzhou, ChinaView further author information

Honghui Zhangc Guangdong Engineering Center for Intelligent Spatial Planning, Guangdong Guodi Planning Science Technology Co. Ltd, Guangzhou, ChinaView further author information

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Inferring the heterogeneous effect of urban land use on building height with causal machine learning

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Inferring the heterogeneous effect of urban land use on building height with causal machine learning

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