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Full-Text Articles in Social and Behavioral Sciences
Essays On The Application And Improvement Of The Geographical Economics Models To Policy Analysis: The Case Of Road Infrastructure In Central America, Ignacio Penagos
Essays On The Application And Improvement Of The Geographical Economics Models To Policy Analysis: The Case Of Road Infrastructure In Central America, Ignacio Penagos
Economics Theses and Dissertations
The novel models of Geographical Economy have analyzed the effects on the distribution of economic activity over the area of a given region, generated by different socio-economic shocks. For example, the costs of migrating from one place to another, as shown in Desmet et al. (2018). A key advantage of such models is that, given the structural definition of the market interactions, they can first create counterfactual scenarios based on the economic fundamentals. And second, a broad set of variables can account for that impact. These dynamic spatial general equilibrium models embody features such as measures for amenities, trade and …
A Modeling Framework For Urban Growth Prediction Using Remote Sensing And Video Prediction Technologies: A Time-Dependent Convolutional Encoder-Decoder Architecture, Ahmed Hassan Jaad
A Modeling Framework For Urban Growth Prediction Using Remote Sensing And Video Prediction Technologies: A Time-Dependent Convolutional Encoder-Decoder Architecture, Ahmed Hassan Jaad
Civil and Environmental Engineering Theses and Dissertations
Studying the growth pattern of cities/urban areas has received considerable attention during the past few decades. The goal is to identify directions and locations of potential growth, assess infrastructure and public service requirements, and ensure the integration of the new developments with the existing city structure. This dissertation presents a novel model for urban growth prediction using a novel machine learning model. The model treats successive historical satellite images of the urban area under consideration as a video for which future frames are predicted. A time-dependent convolutional encoder-decoder architecture is adopted. The model considers as an input a satellite image …