scholarly journals Weighted Regression Method for the Study of Pedestrian Flow Characteristics in Dhaka, Bangladesh

2013 ◽  
Vol 7 (4) ◽  
Author(s):  
Khalidur Rahman ◽  
Noraida Abdul Ghani ◽  
Anton Abdulbasah Kamil ◽  
Adli Mustafa
Keyword(s):  
Flow Characteristics ◽  
Regression Method ◽  
Weighted Regression ◽  
Pedestrian Flow ◽  
Weighted Regression Method

scholarly journals Research on the Weighted Regression Method of Artillery Trajectory Fitting Computation

2021 ◽  
Vol 1748 ◽  
pp. 022024
Author(s):  
Zhang Pan ◽  
Liang Jiwen ◽  
Tang Pingjian ◽  
Chen Wei
Keyword(s):  
Regression Method ◽  
Weighted Regression ◽  
Weighted Regression Method

scholarly journals Geographically weighted regression: Method for analysing spatial nonstationarity of geographical phenomenon

Geografie ◽  
2008 ◽  
Vol 113 (2) ◽  
pp. 125-139 ◽  
Author(s):  
Pavlína Spurná
Keyword(s):  
Linear Regression ◽  
Geographically Weighted Regression ◽  
Quantitative Method ◽  
Regression Method ◽  
Weighted Regression ◽  
Parliamentary Election ◽  
Voting Behaviour ◽  
Significant Difference ◽  
Spatial Nonstationarity ◽  
Weighted Regression Method

The article deals with one of the new quantitative method used in geography, geographically weighted regression (GWR). This method is based on the premise that relationships between variables might not be constant across the study area and explores this phenomenon called spatial non-stationarity. Using the GWR technique to study voting behaviour in Czechia in the parliamentary election in 2002, it is evident that there is a significant difference between the linear regression and GWR models. The examples highlight the relevance and usefulness of GWR and show how it can improve geographical research and potentially also our understanding of geographical processes.

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