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Influence diagnostics in Gaussian spatial linear models
(TAYLOR & FRANCIS LTDABINGDON, 2012)
Spatial linear models have been applied in numerous fields such as agriculture, geoscience and environmental sciences, among many others. Spatial dependence structure modelling, using a geostatistical approach, is an ...
Spatial statistical methods applied to the 2015 brazilian energy distribution benchmarking model: accounting for unobserved determinants of inefficiencies
(Universidade Federal de Minas GeraisBrasilENG - DEPARTAMENTO DE ENGENHARIA PRODUÇÃOFCE - DEPARTAMENTO DE CIÊNCIAS ADMINISTRATIVASICX - DEPARTAMENTO DE ESTATÍSTICAUFMG, 2017)
Use of spatial factors in the analysis of heavy metals in sediments in a Brazilian coastal region
(John Wiley & Sons, Ltd., 2010)
Introducing perception and modelling of spatial randomness in classroom
(Teaching Statistics, 2017)
SPATIAL AUTOCORRELATION OF NDVI AND GVI INDICES DERIVED FROM LANDSAT/TM IMAGES FOR SOYBEAN CROPS IN THE WESTERN OF THE STATE OF PARANA IN 2004/2005 CROP SEASON
(Soc Brasil Engenharia AgricolaJaboticabalEspanha, 2013)
Spatial epidemic dynamics of the COVID-19 outbreak in China
Background: On 31 December 2019 an outbreak of COVID-19 in Wuhan, China, was reported. The outbreak
spread rapidly to other Chinese cities and multiple countries. This study described the spatio-temporal
pattern and ...
Defining functional urban regions in Bahia, Brazil, using roadway coverage and population density variables
(Elsevier B.V., 2014-04-01)
The concept of Functional Urban Regions (FURs), also called Metropolitan Regions (MRs), is not simple. It is clear, though, that they are not simply a combination of adjacent municipalities or areas. Different methods can ...