Data and code for "urban expansion and population concentration: Implications for food safety and urban population health in China"

DataRemote sensing image dataThe remote sensing image data for 31 provincial capital cities in China from 1990 to 2020 were collected from the Landsat and Sentinel satellites of the United States Geological Survey (USGS) (https://earthexplorer.usgs.gov/).The data was collected by Chenhao Wu, Kebiao Mao, and Zijing Yuan. Material dataThe material data included urban expansion and population concentration data, chemical substances data, food safety incident data, and urban population health issue dataduring the period from 1990 to 2020. The urban expansion and population concentration data were collected from the National Bureau of Statistics of China (https://www.stats.gov.cn/sj/ndsj/), the satellite remote sensing images, and the regional economic development reports.The chemical substances data was collected from the National Bureau of Statistics of China, the industry and enterprise public data, and the environmental monitoring data.The food safety incident data was collected from the National Health Commission of China (http://www.nhc.gov.cn/), the local food safety reports, and the food safety research literatures.The urban population health issues data was collected from Global Health Data (http://www.healthdata.org/gbd-data), the National Health Commission of China, the provincial capital city hospital database, and the questionnaires and field interview data.The data was collected by Chenhao Wu, Kebiao Mao, Zijin Yuan, Zhihao Qin, Zhongying Xia, Chun Zhou, Xuyang Chen, Sayed M. Bateni, Xuyang Chen, Jiejie Cao, Longhao Xu, Zengmian Zhang, Yuqi Liang, Yunyun Wang, Heou Wang, Yu Yao, Yurong Wu, Rong Ma, Liu Ma, Changzhi Yang, Minglin Zou, Haoran Wang, Yangyang Liu, Zhao Zhang, Hongxia Ma, Yuting Liu, Bo Chen, Xiangxiang Ma, Haoqi Fan, Hongru Li and Ning Wang. Notes on the codeThe code was written in Python. The research was conducted using Python 3.8. You need to change the file names in the code to match your files. Specific Python requirements are as follows:pandas~=2.2.3numpy~=2.0.2matplotlib~=3.9.4joblib~=1.4.2tensorflow~=2.19.0scikit-learn~=1.6.1seaborn~=0.13.2 The data supports “Urban Expansion and Population Concentration: Impact on Food Safety and Urban Population Health in China” (1990-2020). The data does not include Hong Kong, Macau, or Taiwan. The data includes urban expansion and population concentration, chemical substances, food safety incidents, and urban population health data. Urban expansion and population concentration data are sourced from the National Bureau of Statistics, Landsat and Sentinel satellite imagery, and economic reports, describing urbanization and migration trends. Chemical substance data is collected from the National Bureau of Statistics, industry and enterprises, and environmental monitoring data to assess food safety risks. Food safety incident data is collected from the National Health Commission, local reports, and literature data to support trend analysis. Urban population health data (female infertility patients are only counted in the 20 to 40 age reproductive age group) integrates global health data, hospital records, and questionnaire surveys to reflect disease prevalence and urban population awareness. The data can be used for urbanization, health, and policy research.