Cluster discovery techniques include a wide spectrum of exploratory approaches for identifying locations exhibiting elevated levels of disease, risk or danger. In fact, exploratory spatial data analysis and the development and application of spatial cluster detection techniques have grown significantly over the past twenty years (Murray and Estivill-Castro, 1998; Anselin, 1998; Murray, 2010; Wu...

Author Roger Bivand , with contributions by Micah Altman, Luc Anselin, Renato Assunção, Olaf Berke, Andrew Bernat, Eric Blankmeyer, Marilia Carvalho, Yongwan Chun, Bjarke Christensen, Carsten Dormann, Stéphane Dray, Rein Halbersma, Elias Krainski, Nicholas Lewin-Koh, Hongfei Li, Jielai Ma, Giovanni Millo, Werner Mueller, Hisaji Ono, Pedro Peres-Neto, Gianfranco Piras, Marku...

Abstract The methods of spatial statistics have been successfully applied to the study linguistic variation, especially for detecting existence patterns in geographical distribution features. However, use local indicators autocorrelation clusters limited continuous variables, and we propose apply new method Anselin Li (2019) categorical variables data. We illustrate this with case Japanese rend...

One of the most important problems in spatial econometrics is the computation of the log of the Jacobian of variable transformations in models with spatial interactions. The computation is necessary in ML estimation and Bayesian analysis of models with spatial dependence (Smirnov and Anselin 2009). The effectiveness of the implementation of ML depends on computing effectiveness of the log-deter...

Spatial statistical methods including Cokriging interpolation, Morans I analysis, and geographically weighted regression (GWR) were used for studying the spatial characteristics of polycyclic aromatic hydrocarbon (PAH) accumulation in urban, suburban, and rural soils of Beijing. The concentrations of PAHs decreased spatially as the level of urbanization decreased. Generally, PAHs in soil showed...

Studi ini bertujuan untuk mengetahui dan menganalisis interaksi spasial pertumbuhan ekonomi ketenagakerjaan antar Kabupaten/Kota di Provinsi Sulawesi Tenggara, faktor-faktor yang dapat mempengaruhi Tenggara. Jenis data digunakan adalah sekunder. Analisis Indeks Moran’s Skalogram. Hasil penelitian menunjukan bahwa (1) Kabupaten/kota Tengggara sekitarnya terindikasi adanya keterkaitan dalam perke...

This paper studies the convergence of per-capita GDP across European regions over a fairly long period. Most of the works in the field are based on either cross-sectional or fixed-effects estimates. We propose the estimation of convergence in per-capita GDP across European regions by making use of panel-data models extended to include spatial error autocorrelation (Anselin, 1988; Elhorst, 2003)...

This paper derives several Lagrange Multiplier tests for the panel data regression model wih spatial error correlation. These tests draw upon two strands of earlier work. The Þrst is the LM tests for the spatial error correlation model discussed in Anselin (1988, 1999) and Anselin, Bera, Florax and Yoon (1996), and the second is the LM tests for the error component panel data model discussed in...

Objetivo: Analizar geoespacialmente el comportamiento de las personas con sobrepeso y obesidad entre 18 64 años en Colombia 2015. Métodos: Se aplica un modelo análisis geoespacial distribución espacial trasversal la última versión Encuesta Nacional Situación Nutricional (ENSIN) 2015 a escala departamental. Para lograrlo, se calculan prevalencias departamental sobrepeso, clase I, II III según Ín...