Results 221 to 230 of about 15,048 (242)
Bridging the Gap Between Social Determinants and Health Profile: A New Stratification Tool for the Italian National Health Service. [PDF]
Massaro E +10 more
europepmc +1 more source
Prevalence, Genetic Diversity, and Zoonotic Transmission Potential of Cryptosporidium spp. in Snakes: A Systematic Review and Meta-Analysis. [PDF]
Asghari A +5 more
europepmc +1 more source
Spatiotemporal patterns of femoral fractures in older adults: healthcare access and regional inequalities in southern Brazil. [PDF]
Gabella JL +9 more
europepmc +1 more source
Exploring the spatio-temporal dynamics of geographical processes with geographically weighted regression and geovisual analytics [PDF]
The paper examines the potential for combining a spatial statistical methodology - Geographically Weighted Regression (GWR) - with geovisual analytical exploration to help understand complex spatio-temporal processes.
Urška Demsar +2 more
exaly +3 more sources
Geographical and Temporal Weighted Regression (GTWR) [PDF]
Both space and time are fundamental in human activities as well as in various physical processes. Spatiotemporal analysis and modeling has long been a major concern of geographical information science (GIScience), environmental science, hydrology ...
Ricardo Crespo, A Stewart Fotheringham
exaly +2 more sources
By incorporating temporal effects into the geographically weighted regression (GWR) model, an extended GWR model, geographically and temporally weighted regression (GTWR), has been developed to deal with both spatial and temporal nonstationarity ...
Bo Huang, Bo Wu
exaly +2 more sources
Geographical and temporal density regression
Spatial heterogeneity and correlation are two primary geographical effects of spatial data. Geographically weighted regression (GWR) and its extensions were proposed to quantitively analyze the heterogeneous features in data relationships. An integrative
Binbin Lu, Bo Huang, Yigong Hu
exaly +2 more sources
As COVID-19 run rampant in high-density housing sites, it is important to use real-time data in tracking the virus mobility. Emerging cluster detection analysis is a precise way of blunting the spread of COVID-19 as quickly as possible and save lives. To
Xiu Wu, T Edwin Chow, Jinting Zhang
exaly +2 more sources
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