Data and Code for: Using Neural Networks to Predict Micro-Spatial Economic Growth
收藏DataCite Commons2025-01-27 更新2025-04-16 收录
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https://www.openicpsr.org/openicpsr/project/158002/version/V1/view
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资源简介：
We apply deep learning to daytime satellite imagery to predict changes in income and population at high spatial resolution in US data. For grid cells with lateral dimensions of 1.2sq-km and 2.4sq-km (where the average US county has dimension of 55.6km), our model predictions achieve R-sq values of 0.85 to 0.91 in levels, which far exceed the accuracy of existing models, and 0.32 to 0.46 in decadal changes, which have no counterpart in the literature and are 3-4 times larger than for commonly used nighttime lights. Our network has wide application for analyzing localized shocks.
提供机构：
ICPSR - Interuniversity Consortium for Political and Social Research
创建时间：
2022-11-21
