Determination of the best geographic weighted function and estimation of spatio temporal model – Geographically weighted panel regression using weighted least square [PDF]
MethodsXThis study proposes the development of a spatio-temporal model with geographic weights containing elements of location, time and the correlation between the two. The spatio-temporal model is a spatial regression model that combines geographic information
Sifriyani +3 more
doaj +4 more sources
GEOGRAPHICALLY WEIGHTED PANEL LOGISTIC REGRESSION SEMIPARAMETRIC MODELING ON POVERTY PROBLEM [PDF]
Media Statistika, 2023 Regression analysis is a statistical method used to investigate and model the relationship between variables. Furthermore, a regression analysis was developed that involved spatial aspects, namely Geographically Weighted Regression (GWR).
Aliyah Husnun Azizah +3 more
doaj +2 more sources
Analyzing the mahakam river water quality using the geographically weighted panel regression model [PDF]
MethodsXThis study discusses the geographically weighted panel regression (GWPR) model. GWPR is an extension of geographically weighted regression model, designed for spatially heterogeneous panel data.
Zabrina Nathania Fauziyah +4 more
doaj +2 more sources
Understanding local determinants of dengue: a geographically weighted panel regression approach in Yogyakarta, Indonesia [PDF]
Tropical Medicine and HealthBackground Dengue remains a major public health concern in tropical regions, including Yogyakarta, Indonesia. Understanding its spatiotemporal patterns and determinants is crucial for effective prevention strategies.
Marko Ferdian Salim +2 more
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GEOGRAPHICALLY WEIGHTED PANEL REGRESSION (GWPR) FOR COVID-19 CASE IN INDONESIA
Barekeng, 2023 Coronavirus disease 2019 (COVID-19) is a newly emerging infectious disease caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) which was declared a pandemic by the World Health Organization (WHO) on March 11th, 2020.
Zakiyah Mar'ah, Sifriyani Sifriyani
doaj +1 more source
Media Statistika, 2021 One of the regression methods used to model by region is Geographically Weighted Regression (GWR). The GWR model developed to model panel data is Geographically Weighted Panel Regression (GWPR). Panel data has several advantages compared to cross-section
Agus Rusgiyono, Alan Prahutama
doaj +1 more source
PENERAPAN METODE GEOGRAPHICALLY WEIGHTED PANEL REGRESSION (GWPR) PADA KASUS KEMISKINAN DI INDONESIA
Barekeng, 2021 To analyze the factor affecting poverty during several periods by considering some geographical factors, we can use a geographically weighted panel regression (GWPR) method.
Shantika Martha +3 more
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Barekeng, 2023 Fulfillment of rice stock in Indonesia to always be distributed based on demand in the community is certainly closely related to the results of rice production. The results of rice production in various regions of Indonesia are very different.
Nurul Fiskia Gamayanti +3 more
doaj +1 more source
JTAM (Jurnal Teori dan Aplikasi Matematika), 2023 Geographically Weighted Panel Regression (GWPR) model is a panel regression model applied to spatial data. This research takes the Fixed Effect Model (FEM) panel regression as the global model and GWPR as the local model for dengue hemorrhagic fever ...
Risti Raihani +2 more
doaj +1 more source
Modelling spatio-temporal patterns of Chinese foreign direct investment under the Belt and Road Initiative [PDF]
Journal of International Logistics and Trade, 2023 Purpose – This paper aims to explore the spatio-temporal patterns of Chinese foreign direct investment (FDI) since the inception of the Belt and Road Initiative (BRI) in 2013 as an extended version of geographically weighted regression.
Rifan Ardianto +4 more
doaj +1 more source