scholarly journals Modeling spatial variation of explanatory factors of urban expansion of Kolkata: a geographically weighted regression approach

2015 ◽  
Vol 1 (4) ◽  
Author(s):  
Biswajit Mondal ◽  
Dipendra Nath Das ◽  
Gour Dolui
Keyword(s):  
Spatial Variation ◽  
Geographically Weighted Regression ◽  
Urban Expansion ◽  
Weighted Regression ◽  
Explanatory Factors ◽  
Regression Approach

Number of flood disaster estimation in Indonesia using local linear and geographically weighted regression approach

2021 ◽  
Author(s):  
M. Fariz Fadillah Mardianto ◽  
Sediono ◽  
Novia Anggita Aprilianti ◽  
Belindha Ayu Ardhani ◽  
Rizka Firdaus Rahmadina ◽  
...  
Keyword(s):  
Geographically Weighted Regression ◽  
Flood Disaster ◽  
Weighted Regression ◽  
Local Linear ◽  
Regression Approach

Modeling the Spatial Variation in U.S. Airfares Utilizing Geographically Weighted Regression

2014 ◽  
Vol 5 (4) ◽  
pp. 54-71
Author(s):  
Hilton A. Cordoba ◽  
Russell L. Ivy
Keyword(s):  
Spatial Variation ◽  
Influencing Factors ◽  
Geographically Weighted Regression ◽  
Regression Models ◽  
Yield Management ◽  
Weighted Regression ◽  
Local Models ◽  
Multivariate Approach ◽  
Global Models ◽  
Economic Changes

Modeling airline fares is quite challenging due to the constantly changing fare structure of the airlines in response to competitors, yield management principles, and a variety of political and economic changes, and has become more complex since deregulation. This paper attempts to add to the literature by providing a more in-depth look at fare structure using a multivariate approach. A total 6,200 routes between 80 primary U.S. airports are analyzed using linear and geographically weighted regression models. The results from the global models reinforce some of the expectations mentioned in the literature, while the local models provide an opportunity to analyze the spatial variation of influencing factors and predictability.

Analyzing explanatory factors of urban pluvial floods in Shanghai using geographically weighted regression

2016 ◽  
Vol 31 (7) ◽  
pp. 1777-1790 ◽  
Author(s):  
Congxiao Wang ◽  
Shiqiang Du ◽  
Jiahong Wen ◽  
Ming Zhang ◽  
Honghuan Gu ◽  
...  
Keyword(s):  
Geographically Weighted Regression ◽  
Weighted Regression ◽  
Explanatory Factors
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