Spatial prediction of flood-prone areas using geographically weighted regression
Environmental Advances, 2021 An important non-structural solution in flood management is susceptibility mapping, which identifies the likelihood of flood occurrence in an area.
Jia Min Lin, Lawal Billa
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Analyzing Determinants of Spatial Patterns in Total and Industrial Electricity Consumption in Turkey [PDF]
Statistika: Statistics and Economy JournalThis research investigates the spatial correlation among per capita electricity consumption, per capita industrial electricity consumption, and economic growth by employing various regression models, including linear regression, geographically weighted ...
Semra Türkan
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Spatial Analysis Of Foreign Migration In Poland In 2012 Using Geographically Weighted Regression [PDF]
, 2014 The aim of this paper is to analyse the spatial distribution of officially registered foreign migration in Poland in 2012. GIS tools are implemented for data visualization and statistical analysis.
Lewandowska-Gwarda, Karolina
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Satellite and gauge rainfall merging using geographically weighted regression [PDF]
Proceedings of the International Association of Hydrological Sciences, 2015 A residual-based rainfall merging scheme using geographically weighted regression (GWR) has been proposed. This method is capable of simultaneously blending various satellite rainfall data with gauge measurements and could describe the non-stationary ...
Q. Hu +4 more
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POISSON REGRESSION MODELS TO ANALYZE FACTORS THAT INFLUENCE THE NUMBER OF TUBERCULOSIS CASES IN JAVA
Barekeng, 2023 Tuberculosis is an infectious disease and one of the world's top 10 highest causes of mortality in Indonesia. Based on this fact, it is necessary to study what factors affect number of tuberculosis cases.
Yekti Widyaningsih +1 more
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PEMETAAN HARGA RUMAH DENGAN MENGGUNAKAN MODEL STATISTIK : GEOGRAPHICALLY WEIGHTED REGRESSION
Rekayasa, 2023 Penentuan harga rumah di sebagian kota-kota besar di Indonesia dipengaruhi oleh banyak faktor, salah satunya adalah lokasi rumah. Lokasi rumah menunjukkan hubungan yang positip dengan harga rumah.
Kukuh Winarso, Achmad Dafid
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Geographically Weighted Regression Principal Component Analysis (Gwrpca) Pada Pemodelan Pendapatan Asli Daerah Di Jawa Tengah [PDF]
, 2016 Linear Regression Analysis is a method for modeling the relation between a response variable with two or more independent variables. Geographically Weighted Regression (GWR) is a development of the regression model where each observation location has ...
Prahutama, A. (Alan) +2 more
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International Journal of Health Geographics, 2011 Background This paper analyses the relationship between public perceptions of access to general practitioners (GPs) surgeries and hospitals against health status, car ownership and geographic distance.
Brunsdon Chris +2 more
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Statistik Uji Parsial Pada Model Mixed Geographically Weighted Regression
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2014 Mixed Geographically Weigted Regression (MGWR) adalah pengembangan dari model regresi dimana terdapat parameter yang dihitung pada setiap lokasi pengamatan, sehingga setiap lokasi pengamatan mempunyai nilai parameter yang berbeda-beda, regresi yang ...
Mahmuda Mahmuda, Sri Harini
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Modeling of Malaria Prevalence in Indonesia with Geographically Weighted Regression [PDF]
, 2015 Malaria is a public health problem that can lead to death, especially in high-risk groups i.e. infants, toddlers and pregnant women. This disease is still endemic in most parts of Indonesia.
Djuraidah, A. (Anik) +2 more
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