High-performance solutions of geographically weighted regression in R
Geo-spatial Information Science, 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.
Binbin Lu +6 more
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Indian Journal of Public Health, 2022 Indonesia ranks third with the most leprosy cases globally. East Java is the province that has the highest leprosy cases. The Provincial Government socialized the East Java Leprosy Eradication Program, which targets a maximum of one leprosy case per 10 ...
Husnul Chotimah, I G N. Mindra Jaya
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GEOGRAPHICALLY WEIGHTED PANEL LOGISTIC REGRESSION SEMIPARAMETRIC MODELING ON POVERTY PROBLEM
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
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Perbandingan Geographically Weighted Regression dengan Mixed Geographically Weighted Regression
Statistika, 2023 ABSTRACT Infants who suffer from chronic malnutrition, or stunting, have a very small height compared to other children their age. Slow-growing children have a higher risk of contracting diseases and growing up with degenerative conditions. Indonesia has the second highest stunting rate among children under five in ASEAN.
openaire +1 more source
SPATIAL ANALYSIS OF HIGH-TECH EXPORTS WITH GEOGRAPHICALLY WEIGHTED REGRESSION
Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 2023 The development of High-Technology Exports (HTE) contributes to the increase of competitiveness and growth in national production, the development of commercial and economic cooperation with foreign countries, and the diversification of the economy.
Yusuf Kalkan
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Improving Victimization Risk Estimation: A Geographically Weighted Regression Approach
ISPRS International Journal of Geo-Information, 2021 Standardized crime rates (e.g., “homicides per 100,000 people”) are commonly used in crime analysis as indicators of victimization risk but are prone to several issues that can lead to bias and error.
Rafael G. Ramos
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Modeling the Flood Disaster in South Kalimantan Using Geographically Weighted Regression and Mixed Geographically Weighted Regression [PDF]
ITM Web of ConferencesThe flood disaster in South Kalimantan is a crucial problem that needs to be addressed because the impact is relatively severe. So, this study aims to model flood disasters in South Kalimantan based on factors suspected to be the cause, including ...
Farida Yuniar +6 more
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Evaluation of geostatistical techniques to estimate the spatial distribution of aboveground biomass in the Amazon rainforest using high-resolution remote sensing data [PDF]
Acta Amazonica, 2016 The spatial distribution of forest biomass in the Amazon is heterogeneous with a temporal and spatial variation, especially in relation to the different vegetation types of this biome.
Fátima L. BENÍTEZ +2 more
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Similarity "Geographically Weighted Regression Analiysis for Human Devlopment Index" [PDF]
, 2016 Homenaje a la fundadora, presidenta (2000-2010) y secretaria general (1989-1999) de Redial, Mona Huerta por Anna Svensson, Adelaida Román Román, Geneviève Dreyfus-Armand Aubray, Luis Rodríguez Yunta, Katarzyna Dembicz, María del Carmen Díez Hoyo e Isabel
Tanty, Heruna
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Geographically Weighted Probit Ordinal Regression Model Estimation [PDF]
E3S Web of ConferencesGeographically Weighted Probit Ordinal Regression (GWPOR) is a combined method between Geographically Weighted Regression and Probit Ordinal Regression. This study estimates the percentage of poor people using the GWPOR method.
Kurniawan Muh. Idham +2 more
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