... of several causal mechanisms that are posited to explain urban segregation in the case. The following sections describe the Bayesian spatial regression method and the sources used. In the results section, the results of the regression model are placed in their context through an examination of the local...

... signals of isolation by distance) in combination with the biology of this Neotropical tree suggest that V. sebifera operates as a well-dispersed metapopulation across most of its range. Amazon morphology nutmeg phenotypic plasticity rainforest spatial regression models Tropics...

... as a suitable instrument to safeguard jobs in the agricultural sector. However, empirical findings to date do not unambiguously support this expectation. We further empirically investigate this research question on dairy farms with a focus on family work. Using a spatial regression discontinuity design, we rely...

..., spatial+ no longer reduces bias compared to a spatial model. For the GRF model, spatial+ tends to perform worse than the spatial model. We would like to congratulate Emiko Dupont, Simon N. Wood, and Nicole H. Augustin for tackling the important issue of spatial confounding in spatial regression models...

... Olympics. Bayesian analysis Educational data Hierarchical models Latent effects Restricted spatial regression Formal education plays an indispensable role in society. However, equal opportunity in education has yet to be realized across Latin America, particularly in Brazil. Surveys conducted...

.... The identified regression coefficients show distinct spatial patterns for nitrogen dioxide, sulfur dioxide, and carbon monoxide during different seasons. fine particular matter fused lasso spatial regression spatially varying coefficient model King Abdullah University of Science and Technology 10.13039...

... difficulties of conventional maximum likelihood estimation for non-lattice data. The procedure is applied to several generated data sets and to an actual ground-water data set. Keywords: ANISOTROPY; GAUSSIAN PROCESS; MEASUREMENT ERROR; NON-LATTICE DATA; SPATIAL CORRELATION; SPATIAL REGRESSION 1. INTRODUCTION...

... This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model ( https://dbpia.nl.go.kr/journals/pages/open_access/funder_policies/chorus/standard_publication_model ) Summary Spatial regression is an important predictive tool in many scientific...

...:https://dbpia.nl.go.kr/journals/pages/open_access/funder_policies/chorus/standard_publication_model ) Summary We consider the problem of selecting covariates in a spatial regression model when the response is binary. Penalized likelihood-based approach is proved to be effective for both variable selection...

... apply our method to assess socioeconomic trends in breast cancer incidence in Los Angeles between the periods 1988–1992 and 1998–2002. Area-level data Cancer incidence Disease mapping Health disparities Spatial misalignment Spatial regression NIH 10.13039/100000002 5P01CA134294 ES012044...

... associated with subsequent concentration growth. farm structure generalized additive model agricultural payments spatial regression Q120 Q150 Q180 Over the last twenty years, agricultural production has become increasingly concentrated on larger farms. According to Census of Agriculture data, farms from...

... of spatially varying covariates and random effects with a conditionally autoregressive (CAR) prior to account for spatial clustering. In such spatial regressions, the objective may be to estimate the fixed effects while accounting for the spatial correlation. But adding the CAR random effects can cause large...

...Robert L. Schooley autocorrelation landscape heterogeneity patch context spatial scale spatial regression Our perception of how species interact with their habitat depends on spatial scale, which can be characterized by extent and grain ( Wiens 1989 ). Extent, the overall area covered...

... fertilizer recommendations may be superior ( Bullock, Lowenberg-DeBoer, and Swinton, 2002 ). Q120 Q160 corn yield response fertilizer recommendations nitrogen precision agriculture spatial regression site-specific farming Abstract This study examines the profitability and stability of site-specific...

.... In each case, full Bayesian inference is carried out using Markov chain Monte Carlo simulation. Gene frequencies Hierarchical model Markov chain Monte Carlo simulation Model choice Nutritional indicators Spatial regression parameter Biostatistics (2003), 4,1,pp. 11–25 Printed in Great Britain...

... results on variogram model fitting. In Section 3 , we describe a subsampling generalized least squares (SGLS) method. In Section 4 , we present the main theoretical results of the paper. An extension of the method to a spatial regression model is given in Section 5 . Results of a simulation study...

... Small Rental Property Program government racial inequality Village de l’Est neighborhood buyouts Freret neighborhood neighborhood associations self reliance Civic structure Social vulnerabilities Spatial regression “Pontchartrain Park symbolized the opening of the American dream to Black folks...

...This chapters provides a broad outline of spatial analysis, a collection of methods that share the common characteristic that spatial proximity and relationships matter. We focus on three specific areas: exploratory spatial data analysis, spatial regression and spatial optimization. Anselin Luc...

... spatial regression Bahrain networks This chapter introduces the modeling strategy used throughout the remainder of the book and presents a proof of concept for the IGO diffusion hypothesis. ¹ In doing so, it uses widely studied data on one of the most basic categories of human rights—the so...

... with a discussion of semiparametric regression covering generalized linear models, generalized additive models, semiparametric mixed models, and spatial regression models. It then presents a number of examples that will serve as illustrations throughout the book. Together with the description of some of the key...