The use of maximum entropy and ecological niche factor analysis to decrease uncertainties in samples for urban gain models

Uncertainty is a common problem in spatial modeling and geographical information systems (GIS). Furthermore, urban gain modeling (UGM) contains various dimensions and components of uncertainties. Data sampling is important in UGM, and may cause the results of the models to contain many uncertainties...

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Bibliographic Details

Published in:	GIScience & Remote Sensing
Main Authors:	Mohammad Ahmadlou, Mohammad Karimi, Nadhir Al-Ansari
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2023-12-01
Subjects:	uncertainty urban gain modeling data-driven models maximum entropy imbalance learning data mining
Online Access:	http://dx.doi.org/10.1080/15481603.2023.2222980