Results 11 to 20 of about 3,775,108 (256)

Spatial-Temporal Analysis of Injury Severity with Geographically Weighted Panel Logistic Regression Model

open access: yesJournal of Advanced Transportation, 2019
This study is intended to investigate the influencing factors of injury severity by considering the heterogeneity issue of unobserved factors at different arterials and the spatial attributes in geographically weighted regression models.
Daiquan Xiao, Xuecai Xu, Li Duan
doaj   +2 more sources

Geographically Weighted Panel Regression Analysis of Poverty Determinants in Central Java Province, Indonesia [PDF]

open access: yesJTAM (Jurnal Teori dan Aplikasi Matematika)
The Geographically Weighted Panel Regression (GWPR) model combines panel and spatial data to capture geographic heterogeneity by allowing variable effects to differ by location. This quantitative study examines poverty rates in Central Java Province from
Diva Aprilia Trisha Utami   +3 more
doaj   +2 more sources

A linearization for stable and fast geographically weighted Poisson regression [PDF]

open access: yes, 2023
Although geographically weighted Poisson regression (GWPR) is a popular regression for spatially indexed count data, its development is relatively limited compared to that found for linear geographically weighted regression (GWR), where many extensions ...
Nakaya, T.   +3 more
core   +1 more source

GEOGRAPHICALLY WEIGHTED PANEL REGRESSION (GWPR) MODEL FOR POVERTY DATA IN WEST JAVA PROVINCE 2019-2021

open access: yesJurnal Diferensial, 2023
The problem of poverty in West Java shows a pattern that tends to be concentrated in adjacent areas, indicating spatial heterogeneity in the problem. On the other hand, poverty in West Java also shows an increasing trend from year to year so that dynamic
Ramadhoni Nasri   +2 more
doaj   +1 more source

Validity of Okun’s Law in a spatially dependent and cyclical asymmetric context [PDF]

open access: yesPanoeconomicus, 2022
The current article analyzes the validity of Okun’s Law and sizable distortions that can occur in the estimation when spatial dependence and cyclical asymmetric impacts are not considered, which is a concern commonly ignored by the existing literature ...
Duran Hasan Engin
doaj   +1 more source

High-performance solutions of geographically weighted regression in R [PDF]

open access: yes, 2022
As an established spatial analytical tool, Geographically Weighted Regression (GWR) has been applied across a variety of disciplines. However, its usage can be challenging for large datasets, which are increasingly prevalent in today’s digital world.
Charlton, M.   +20 more
core   +1 more source

Import of Agricultural Products in the Intra-Regional Comprehensive Economic Partnership (RCEP)

open access: yesHabitat, 2022
The flow of agricultural products through imports has the potential to increase with the geographical conditions of adjacent RCEP countries. Economic and non-economic factors can affect imports of agricultural products.
Endang Sari Simanullang   +3 more
doaj   +1 more source

Spatiotemporal Evolution and Pattern Differences of Environmental Sanitation Facilities in Rural China: Taking the Improvement of Water and Latrines as an Example [PDF]

open access: yesNature Environment and Pollution Technology, 2021
Based on the panel data of water and latrine improvement in rural China from 2003 to 2016, this paper explores the spatiotemporal evolution pattern of rural sanitation facilities and analyzes the spatial heterogeneity of influencing factors of rural ...
Xinjie Deng
doaj   +1 more source

Geographically weighted elastic net logistic regression [PDF]

open access: yes, 2018
This paper develops a localized approach to elastic net logistic regression, extending previous research describing a localized elastic net as an extension to a localized ridge regression or a localized lasso.
Comber, A.   +3 more
core   +1 more source

Locationally Varying Production Technology and Productivity: The Case of Norwegian Farming

open access: yesEconometrics, 2023
In this study, we leverage geographical coordinates and firm-level panel data to uncover variations in production across different locations. Our approach involves using a semiparametric proxy variable regression estimator, which allows us to define and ...
Subal C. Kumbhakar   +2 more
doaj   +1 more source

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