Globally, both people and economic activity are increasingly concentrated in urban areas. Yet, for the vast majority of developing country cities, little is known about the granular spatial organization of such activity despite its key importance to policy and urban planning. This paper adapts a machine learning based algorithm to predict the spatial distribution of employment using input data from open access sources such as Open Street Map and Google...
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ПОДРОБНАЯ ИНФОРМАЦИЯ
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2022/03/22
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Рабочий документ в рамках исследования вопросов политики
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WPS9979
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1
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1
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2022/03/22
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Disclosed
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Where Are All the Jobs ? A Machine Learning Approach for High Resolution Urban Employment Prediction in Developing Countries
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national institute of statistic
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