The Step Construction of Geographically Weighted Panel Regression in Air Polluter Standard Index (APSI) Data
Geographically Weighted Panel Regression or GWPR is a local linear regression model that combines GWR model and panel data regression model with considering spatial effect, especially spatial heterogeneity problem. This article is focused on the soft computation of GWPR model using Fixed Effect Mode...
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2018-01-01
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Online Access: | https://doi.org/10.1051/e3sconf/20187312006 |
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doaj-8a296e59751a4cf584103e560040cabd2021-02-02T05:46:09ZengEDP SciencesE3S Web of Conferences2267-12422018-01-01731200610.1051/e3sconf/20187312006e3sconf_icenis18_12006The Step Construction of Geographically Weighted Panel Regression in Air Polluter Standard Index (APSI) DataWarsito BudiYasin HasbiIspriyanti DwiHakim Arief RachmanGeographically Weighted Panel Regression or GWPR is a local linear regression model that combines GWR model and panel data regression model with considering spatial effect, especially spatial heterogeneity problem. This article is focused on the soft computation of GWPR model using Fixed Effect Model (FEM). Parameter estimation in GWPR is obtain by Weighted Least Squares (WLS) methods and the resulting model for each location will be different from one to another. This study will compare the fixed-effect GWPR model with several weighting functions. The best model is determined based on the biggest coefficient of determination (R2) value. In this study, the model is applied in the Air Polluter Standard Index (APSI) in Surabaya City, East Java. The results of this study indicate that Fixed Effect GWPR model with a fixed exponential kernel weighting function is the best model to describe the APSI because it has the smallest AIC.https://doi.org/10.1051/e3sconf/20187312006APSIFixed Effect, GWPRPanel Regression |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Warsito Budi Yasin Hasbi Ispriyanti Dwi Hakim Arief Rachman |
spellingShingle |
Warsito Budi Yasin Hasbi Ispriyanti Dwi Hakim Arief Rachman The Step Construction of Geographically Weighted Panel Regression in Air Polluter Standard Index (APSI) Data E3S Web of Conferences APSI Fixed Effect, GWPR Panel Regression |
author_facet |
Warsito Budi Yasin Hasbi Ispriyanti Dwi Hakim Arief Rachman |
author_sort |
Warsito Budi |
title |
The Step Construction of Geographically Weighted Panel Regression in Air Polluter Standard Index (APSI) Data |
title_short |
The Step Construction of Geographically Weighted Panel Regression in Air Polluter Standard Index (APSI) Data |
title_full |
The Step Construction of Geographically Weighted Panel Regression in Air Polluter Standard Index (APSI) Data |
title_fullStr |
The Step Construction of Geographically Weighted Panel Regression in Air Polluter Standard Index (APSI) Data |
title_full_unstemmed |
The Step Construction of Geographically Weighted Panel Regression in Air Polluter Standard Index (APSI) Data |
title_sort |
step construction of geographically weighted panel regression in air polluter standard index (apsi) data |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2018-01-01 |
description |
Geographically Weighted Panel Regression or GWPR is a local linear regression model that combines GWR model and panel data regression model with considering spatial effect, especially spatial heterogeneity problem. This article is focused on the soft computation of GWPR model using Fixed Effect Model (FEM). Parameter estimation in GWPR is obtain by Weighted Least Squares (WLS) methods and the resulting model for each location will be different from one to another. This study will compare the fixed-effect GWPR model with several weighting functions. The best model is determined based on the biggest coefficient of determination (R2) value. In this study, the model is applied in the Air Polluter Standard Index (APSI) in Surabaya City, East Java. The results of this study indicate that Fixed Effect GWPR model with a fixed exponential kernel weighting function is the best model to describe the APSI because it has the smallest AIC. |
topic |
APSI Fixed Effect, GWPR Panel Regression |
url |
https://doi.org/10.1051/e3sconf/20187312006 |
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