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Integrating Street Views, Satellite Imageries and Remote Sensing Data Into Economics and the Social Sciences.

Authors :
Wang, Guan-Yuan
Source :
Social Science Computer Review. Feb2024, Vol. 42 Issue 1, p326-351. 26p.
Publication Year :
2024

Abstract

Street views, satellite imageries and remote sensing data have been integrated into a wide spectrum of topics in the social sciences. Computer vision methods not only help analysts and policymakers make better decisions and produce more effective solutions but they also enable models to achieve more precise predictions and greater interpretability. In this paper, we review the growing literature applying such methods to economic issues and the social sciences, in which social scientists employ deep learning approaches to utilise image data to retrieve additional information. Typically, image data produce better results than traditional approaches and can provide detailed results and helpful insights to improve society and people's well-being. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08944393
Volume :
42
Issue :
1
Database :
Academic Search Index
Journal :
Social Science Computer Review
Publication Type :
Academic Journal
Accession number :
175032448
Full Text :
https://doi.org/10.1177/08944393231178604