Results 61 to 70 of about 2,873,804 (259)
Small area estimation via m-quantile geographically weighted regression
The effective use of spatial information, that is the geographic locations of population units, in a regression model-based approach to small area estimation is an important practical issue.
Tzavidis, N. +3 more
core +2 more sources
ABSTRACT Wetlands constitute Earth's largest natural methane (CH4) source, yet projections of their climate feedback remain uncertain due to poorly constrained temperature sensitivity (Q10‐CH4) of microbial methanogenesis. While water table dynamics have been demonstrated to regulate wetland methanogenesis by altering key soil conditions such as ...
Shuying Qiu +6 more
wiley +1 more source
Geographically Weighted Logistic Regression Applied to Credit Scoring Models
This study used real data from a Brazilian financial institution on transactions involving Consumer Direct Credit (CDC), granted to clients residing in the Distrito Federal (DF), to construct credit scoring models via Logistic Regression and ...
Pedro Henrique Melo Albuquerque +2 more
doaj +1 more source
Regression analysis is a method for determining the effect of the response and predictor variables, yet simple regression does not consider the different properties in each location.
Grissila Yustisia
doaj +1 more source
The Minkowski approach for choosing the distance metric in geographically weighted regression [PDF]
In this study, the geographically weighted regression (GWR) model is adapted to benefit from a broad range of distance metrics, where it is demonstrated that a well-chosen distance metric can improve model performance.
Charlton, M. +7 more
core +1 more source
ABSTRACT Autism Spectrum Disorder (ASD) is associated with gut microbiota dysbiosis, yet the contribution of specific microbial metabolic pathways remains unclear. Reanalysis of a public ASD cohort revealed reduced functional potential in microbial tryptophan oxidative metabolism.
Rui Guo +14 more
wiley +1 more source
Extreme coefficients in Geographically Weighted Regression and their effects on mapping [PDF]
This study deals with the issue of extreme coefficients in geographically weighted regression (GWR) and their effects on mapping coefficients using three datasets with different spatial resolutions.
Jung, Suhyun +3 more
core
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Applying Geographically Weighted Regression to Conjoint Analysis: Empirical Findings from Urban Park Amenities [PDF]
The objective of this study is to develop spatially-explicit choice model and investigate its validity and applicability in CA studies. This objective is achieved by applying locally-regressed geographically weighted regression (GWR) and GIS to survey ...
Tanaka, Katsuya +2 more
core
Single‐cell transcriptomics of soybean roots soon after rhizobial inoculation reveals epidermal and cortical cell‐specific programs and gene‐regulatory networks acting in symbiosis establishment. We identify an ethylene‐driven regulatory circuit involving WRKY6.3/6.4 transcription factors targeting select Nod19 genes that promotes infection‐thread ...
Yongbin Zhuang +17 more
wiley +1 more source

