Results 161 to 170 of about 18,701 (220)

Structural factors of disability and ageing: spatial patterns in Mexico. [PDF]

BMC Public Health
García-Chanes RE, Terán-Paéz D, Garcia JV, Roussos K, García-Peña C.   +4 more
europepmc   +1 more source

The prevalence, spatial distribution and geographic weighted regression of open defecation practice in sub-Saharan Africa using demographic and health survey (DHS) data. [PDF]

PLoS One
Demoze L, Gizachew N, Worede EA, Zegeye AT, Molalign YW, Tigabie M, Angelo AA, Alemu EA, Yitageasu G.   +8 more
europepmc   +1 more source

Mapping the COVID-19 pandemic in Burkina Faso: spatial patterns, socioeconomic factors, and public health implications. [PDF]

Int J Health Geogr
Millogo AA, Karabinta A, Kiendrebeogo E, Sylla B, Diabate A, Yameogo L.   +5 more
europepmc   +1 more source

Exploring spatial-temporal heterogeneity in new-type urbanization's impact on health expenditure: a GTWR analysis. [PDF]

Int J Health Geogr
Li M, Yang H.
europepmc   +1 more source

Investigating the spatial effects of zonal factors on road traffic speed variability during peak hour. [PDF]

PLoS One
Anna VABK, Chand S, Alsultan A, Dixit V.
europepmc   +1 more source

Editorial: Applied neuroimaging for the diagnosis and prognosis of cerebrovascular disease. [PDF]

Front Neurol
Lu M, Wang J, Cai J.
europepmc   +1 more source

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4D-GWR: geographically, altitudinal, and temporally weighted regression

Neural Computing and Applications, 2022
Geographically weighted regression (GWR) models varying relationships and is a local spatial regression approach. It has been used in several application domains, such as meteorology, environmental management, ecology, etc. The datasets collected in these applications include spatial (latitude, longitude), altitudinal, and temporal nonstationarities ...
Murat Taşyürek, Mete Celik
exaly   +4 more sources

2SLS estimation for the GWR-SL model

Proceedings 2011 International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE), 2011
This paper set up a 2SLS framework to estimate and infer GWR-SL model (Geographically Weighted Regression with Spatially Lagged Objective Variable Model). 2SLS estimates can effectively reduce the computational complexity, and solved the unknown error distribution restrictions, expanding the GWR-SL model's estimation method.
null Huang Yanling, null Zhi-He Long
openaire   +1 more source