Deep Learning for Spatiotemporal Modeling of Urbanization

12/17/2021
by   Tang Li, et al.
0

Urbanization has a strong impact on the health and wellbeing of populations across the world. Predictive spatial modeling of urbanization therefore can be a useful tool for effective public health planning. Many spatial urbanization models have been developed using classic machine learning and numerical modeling techniques. However, deep learning with its proven capacity to capture complex spatiotemporal phenomena has not been applied to urbanization modeling. Here we explore the capacity of deep spatial learning for the predictive modeling of urbanization. We treat numerical geospatial data as images with pixels and channels, and enrich the dataset by augmentation, in order to leverage the high capacity of deep learning. Our resulting model can generate end-to-end multi-variable urbanization predictions, and outperforms a state-of-the-art classic machine learning urbanization model in preliminary comparisons.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/28/2021

Machine learning accelerated computational fluid dynamics

Numerical simulation of fluids plays an essential role in modeling many ...
research
10/25/2021

Mlr3spatiotempcv: Spatiotemporal resampling methods for machine learning in R

Spatial and spatiotemporal machine-learning models require a suitable fr...
research
07/21/2020

Experiment data-driven modeling of tokamak discharge in EAST

A model for tokamak discharge through deep learning has been done on EAS...
research
03/27/2023

Modeling Population Movements under Uncertainty at the Border in Humanitarian Crises: A Situational Analysis Tool

Humanitarian agencies must be prepared to mobilize quickly in response t...
research
12/10/2021

Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction

Many scientific prediction problems have spatiotemporal data- and modeli...
research
06/28/2023

End-to-End Integrated Simulation for Predicting the Fate of Contaminant and Remediating Nano-Particles in a Polluted Aquifer

Groundwater contamination caused by Dense Non-Aqueous Phase Liquid (DNAP...
research
08/26/2023

Homological Convolutional Neural Networks

Deep learning methods have demonstrated outstanding performances on clas...

Please sign up or login with your details

Forgot password? Click here to reset