Explorative Spatial Analysis of Crime Rates Among the District of Peninsular Malaysia: Geographically Weighted Regression

2016 ◽  
pp. 145-156
Author(s):  
Syerrina Zakaria ◽  
Nuzlinda Abdul Rahman
Keyword(s):  
Spatial Analysis ◽  
Geographically Weighted Regression ◽  
Peninsular Malaysia ◽  
Crime Rates ◽  
Weighted Regression ◽  
Spatial Analysis Of Crime

scholarly journals Geographically Weighted Regression on dengue epidemic in Peninsular Malaysia

2021 ◽  
Vol 1988 (1) ◽  
pp. 012099
Author(s):  
Ayuna Sulekan ◽  
Jamaludin Suhaila ◽  
Nurmarni Athirah Abdul Wahid
Keyword(s):  
Geographically Weighted Regression ◽  
Peninsular Malaysia ◽  
Weighted Regression ◽  
Dengue Epidemic

COVID-19 and employment in Brazilian microregions: A spatial analysis

2020 ◽  
Vol 39 (2) ◽  
Author(s):  
Alysson Luiz Stege ◽  
Augusta Pelinski Raiher ◽  
Alex Sander Souza do Carmos
Keyword(s):  
Spatial Analysis ◽  
Geographically Weighted Regression ◽  
The Other ◽  
Weighted Regression ◽  
Social Distancing ◽  
Northeastern Region ◽  
Other Hand ◽  
The Social ◽  
Negative Effect

The main goal of this paper is to analyze the Covid-19 effect on jobs, using Brazilian microregions data.  The Covid-19 effect was disaggregated into exogenous (reduction in exports) and endogenous (increase in social distancing) variables, the coefficient was estimated by Geographically Weighted Regression (GWR). Using this methodology we can control the extremum heterogeneity, estimating one coefficient for each microregion in the sample. The results revealed that exports did not have any effects on jobs. On the other hand, the social distancing presented negative effect on employment, besides, stronger effect was observed in the Brazilian Northeastern region.

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