Supporting data and codes

This is the supporting data and codes for two independent papers titled "Analytically Articulating the Effect of Buffer Size for Urban Green Space Exposure Measures" and "Generalized Conceptualization of the Optimal Contextual Unit in Environmental Exposure and the Role of Machine Learning".<b>Data and codes availability statement</b>: 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.