Analyzing the Spatiotemporal Uncertainty in Urbanization Predictions

Analyzing the Spatiotemporal Uncertainty in Urbanization Predictions

With the availability of computational resources, geographical information systems, and remote sensing data, urban growth modeling has become a viable tool for predicting urbanization of cities and towns, regions, and nations around the world. This information allows policy makers, urban planners, e...

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Bibliographic Details
Main Authors: Jairo Alejandro Gómez, ChengHe Guan, Pratyush Tripathy, Juan Carlos Duque, Santiago Passos, Michael Keith, Jialin Liu
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Remote Sensing
Subjects:
urban growth
urbanization processes
spatiotemporal uncertainty
urban planning tools
urban science
SLEUTH CA
Online Access:https://www.mdpi.com/2072-4292/13/3/512

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https://www.mdpi.com/2072-4292/13/3/512

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