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Supporting data and codes

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posted on 2024-08-26, 04:41 authored by Yang LiuYang Liu

This is the supporting data and codes for our paper titled "Analytically Articulating the Optimal Buffer Size for Urban Green Space Exposure Measures and Implications for Health Geography Studies".

Data and codes availability statement: The participants of this study did not give written consent for their data to be shared publicly. So, due to the sensitive nature of the research, original data from the survey cannot be shared publicly. Alternatively, we provided the mocked survey data outside our study area to illustrate the procedure that can reproduce our results. The employed remote sensing data are commercial data that cannot be shared publicly. We can only provide a smaller section of our green space inventory that can efficiently illustrate our methods. Any usage of our green space data other than validating our methods in this paper needs permission from both Planet Labs, Inc. and the authors.

Funding

This research was supported by grants from the Hong Kong Research Grants Council (General Research Fund Grant no. 14605920, 14611621, 14606922, 14603724; Collaborative Research Fund Grant no. C4023-20GF; Research Matching Grants RMG 8601219, 8601242), and a grant from the Research Committee on Research Sustainability of Major Research Grants Council Funding Schemes (3133235) of the Chinese University of Hong Kong. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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