PEMODELAN PROPORSI PENDUDUK MISKIN KABUPATEN DAN KOTA DI PROVINSI JAWA TENGAH MENGGUNAKAN GEOGRAPHICALLY AND TEMPORALLY WEIGHTED REGRESSION [PDF]
Regression analysis is a statistical analysis that aims to quantify the effect of predictor variables on the response variable. Geographically Weighted Regression (GWR) is a local form of regression and a statistical method used to analyze spatial data ...
Widiyanti, Khusnul Yeni
core +2 more sources
Spatial Analysis of Housing Prices and Market Activity with the Geographically Weighted Regression
The main part of the study will be to demonstrate that models taking into account spatial heterogeneity (Geographically Weighted Regression and Mixed Geographically Weighted Regression) which reproduce housing market determinants better reflect market ...
Radosław Cellmer +2 more
doaj +1 more source
A model incorporating geo-detector analysis and geographically weighted principal component analysis into Multi-scale Geographically Weighted regression (GWPCA-MGWR) was developed to reveal the factors driving spatial variation in soil organic matter ...
Qi Wang +4 more
doaj +1 more source
Geographically weighted temporally correlated logistic regression model [PDF]
AbstractDetecting the temporally and spatially varying correlations is important to understand the biological and disease systems. Here we proposed a geographically weighted temporally correlated logistic regression (GWTCLR) model to identify such dynamic correlation of predictors on binomial outcome data, by incorporating spatial and temporal ...
Liu, Yang +3 more
openaire +2 more sources
Geographically Weighted Multivariate Logistic Regression Model and Its Application
This study investigates the geographically weighted multivariate logistic regression (GWMLR) model, parameter estimation, and hypothesis testing procedures.
M. Fathurahman +3 more
doaj +1 more source
Development of nonparametric geographically weighted regression using truncated spline approach [PDF]
Nonparametric geographically weighted regression with truncated spline approach is a new method of statistical science. It is used to solve the problems of regression analysis of spatial data if the regression curve is unknown.
Sifriyani +3 more
doaj +1 more source
Analysis of Land Development Drivers Using Geographically Weighted Ridge Regression
Land development processes are driven by complex interactions between socio-economic and spatial factors. Acquiring an understanding of such processes and the underlying procedures helps urban and regional planners, environmental scientists, and policy ...
Pariya Pourmohammadi +3 more
doaj +1 more source
Chronological and Spatial Distribution of Skeletal Muscle Fat Replacement in FHL1‐Related Myopathies
ABSTRACT Objectives Variants in the FHL1 gene cause FHL1‐related myopathies (FHL1‐RMs), a group of neuromuscular disorders with diverse clinical presentations. This study aimed to comprehensively characterize the spatial and temporal patterns of skeletal muscle fat replacement throughout the whole body in FHL1‐RMs, to examine disease progression over ...
Rui Shimazaki +8 more
wiley +1 more source
Pemodelan Mixed Geographically Weighted Regression Multivariate Pada Pencemaran Kualitas Air Chemical Oxygen Demand (COD) Dan Biological Oxygen Demand (BOD) [PDF]
Kali Surabaya adalah salah satu sungai di Jawa Timur yang menjadi sorotan masyarakat karena tingkat pencemarannya yang tinggi. Pemerintah Kota Surabaya sejak tahun 2005 menggalakkan program peduli lingkungan Surabaya Green and Clean, akan tetapi hingga ...
Khaulasari, H. (Hani) +1 more
core
Objective This study examined the global and regional temporal changes in cross‐country inequalities of site‐specific osteoarthritis (OA) burden from 1990 to 2021. Methods Age‐standardized years lived with disability rates (ASYRs) for site‐specific OA across 204 countries and territories were obtained from the Global Burden of Diseases, Injuries, and ...
Haowei Chen +14 more
wiley +1 more source

