A spatial distribution dataset for GDP in Hainan Island at 500 m from 2012 to 2020

Degang Zhang, Bowen Cheng, Jinfen Chen, Xiaoping Zhang
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Abstract

Based on ESA (European Space Agency) landcover data, national polar-orbiting partnership-visible infrared imaging radiometer suite (NPP-VIIRS) nighttime light data and Hainan provincial statistical data, we implemented the spatialization of Hainan Island’s Gross Domestic Product (GDP) in this article. According to the relationship between gross product of primary industry and landcover type, spatialization of Hainan Island gross product of primary industry was implemented. And by building the regression model between gross product of secondary and tertiary industries and the nighttime light index, Hainan Island gross product of secondary and tertiary industries is spatialized. Then the spatialization of GDP was realized by combining the results of spatialization of Hainan Island's primary industry, secondary and tertiary industries. Compared with Hainan provincial statistical data, the results show that the maximum relative errors of spatial distribution data and actual statistical data of gross product of primary industry, gross product of secondary and tertiary industries and GDP in each period are 3.25%, 9.57% and 7.49%, respectively, which indicates the dataset can better describe the spatial distribution of GDP in Hainan Island. In addition, this dataset can provide a decision-making basis for the government to formulate policies on economic development of Hainan Island, and provide data support for scholars to explore differences and trends in economic development of Hainan Island.
海南岛2012-2010年500米GDP空间分布数据集
本文基于欧空局陆地覆盖数据、国家极轨合作伙伴可见红外成像辐射计套件(NPP-VIIRS)夜间光照数据和海南省统计数据,实现了海南岛国内生产总值(GDP)的空间化。根据海南岛第一产业生产总值与土地覆盖类型的关系,实现了海南岛第一工业生产总值的空间化。通过建立海南岛第二、第三产业生产总值与夜间灯光指数的回归模型,对海南岛第三、第二产业生产总值进行了空间化。结合海南岛第一产业、第二产业和第三产业的空间化结果,实现了GDP的空间化。结果表明,与海南省统计数据相比,各时期第一产业生产总值、第二产业和第三产业生产总值和国内生产总值的空间分布数据和实际统计数据的最大相对误差分别为3.25%、9.57%和7.49%,这表明该数据集能够更好地描述海南岛GDP的空间分布。此外,该数据集可以为政府制定海南岛经济发展政策提供决策依据,并为学者探索海南岛经济增长的差异和趋势提供数据支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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