Uncovering drivers of community-level house price dynamics through multiscale geographically weighted regression: A case study of Wuhan, China [PDF]
, 2023 For buyers, investors and urban policy, understanding drivers of community-level house prices across space and across time, are important for urban management and economic planning.
Shi, Y. +4 more
core +1 more source
, 2023 It is very essential to resolve the issues of atmospheric ozone pollution and health impact evaluation about high spatial resolution and accurate near-surface ozone concentration.
Xiangkai Wang +9 more
core +1 more source
Mixed geographically and temporally weighted regression for spatio-temporal deformation modelling
, 2021 When the regression coefficient of independent variable has both global stationarity and spatio-temporal non-stationarity properties, the deformation model based on the geographically and temporally weighted regression (GTWR) will no longer be applicable.
Dai, Wujiao +4 more
core +1 more source
Geographically weighted temporally correlated logistic regression model [PDF]
, 2018 Detecting 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 ...
Liu, Y +7 more
core +2 more sources
Nonparametric spatio-temporal modeling: Contruction of a geographically and temporally weighted spline regression. [PDF]
MethodsXThis research introduces a new model called Geographically Temporally and Weighted Spline Nonparametric Regression (GTWSNR), which is an extension of the Geographically Temporally Weighted Regression (GTWR) model.
Sifriyani +8 more
europepmc +2 more sources
Modelling of Poverty Cases in West Java Using Mixed Geographically and Temporally Weighted Regression with Cluster [PDF]
, 2021 Geographically and temporally weighted regression (GTWR) is a method used when there is spatial and temporal diversity in an observation. GTWR model just consider the local influences of spatial-temporal independent variables on dependent variable.
Sumertajaya , I Made +2 more
core +1 more source
PEMODELAN PROPORSI PENDUDUK MISKIN KABUPATEN DAN KOTA DI PROVINSI JAWA TENGAH MENGGUNAKAN GEOGRAPHICALLY AND TEMPORALLY WEIGHTED REGRESSION [PDF]
, 2014 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 +3 more sources
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Building on our prior Behavioral Risk Factor Surveillance System analysis identifying adults aged 18–39 as the primary driver of the national increase in self‐reported cognitive disability, we examined factors associated with this rise using 2013–2024 U.S. BRFSS data. Methods We analyzed U.S.
Adam de Havenon +9 more
wiley +1 more source
, 2022 ABSTRAK PEMODELAN JUMLAH KASUS POSITIF COVID-19 DI INDONESIA MENGGUNAKAN GEOGRAPHICALLY AND TEMPORALLY WEIGHTED REGRESSION (GTWR) Oleh: DWI PALEZA F1F017034 Penyebaran kasus positif COVID-19 yang cepat di berbagai negara membuat World Health ...
Herlin, Fransiska +2 more
core +2 more sources