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Risk maps for cities: Incorporating streets into geostatistical models
(Elsevier, 2018)
Vector-borne diseases commonly emerge in urban landscapes, and Gaussian field models can be used to create risk maps of vector presence across a large environment. However, these models do not account for the possibility ...
Mapping units based on spatial uncertainty of magnetic susceptibility and clay content
(2018-05-01)
This study aimed to use spatial uncertainty of magnetic susceptibility (MS) and clay content to improve soil-mapping units. In an experimental area of 870 ha, a regular sampling grid containing 371 points was set, in which ...
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 ...
Searching for planar signatures in WMAP
(IOP PUBLISHING LTD, 2009)
We search for planar deviations of statistical isotropy in the Wilkinson Microwave Anisotropy Probe (WMAP) data by applying a recently introduced angular-planar statistics both to full-sky and to masked temperature maps, ...
Tópicos de geometria diferencial
(Universidade Estadual Paulista (UNESP), 2011-09-21)
O principal objetivo deste trabalho é confeccionar um texto para alunos de gradua ção na área de Ciências Exatas e da Terra concernente ao estudo da Curvatura Gaussiana e Aplicação de Gauss, Superfícies Mínimas, Teorema ...
Tópicos de geometria diferencial
(Universidade Estadual Paulista (UNESP), 2014)
Generation of self-similar Gaussian time series by means of the DWT and DWPT variance maps
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2010)
Due to the several kinds of services that use the Internet and data networks infra-structures, the present networks are characterized by the diversity of types of traffic that have statistical properties as complex temporal ...
Searching for planar signatures in WMAP
(Iop Publishing Ltd, 2014)
Soil CO(2) emission estimated by different interpolation techniques
(SPRINGER, 2011)
Soil CO(2) emissions are highly variable, both spatially and across time, with significant changes even during a one-day period. The objective of this study was to compare predictions of the diurnal soil CO(2) emissions ...
Soil CO2 emission estimated by different interpolation techniques
(Springer, 2011-08-01)
Soil CO2 emissions are highly variable, both spatially and across time, with significant changes even during a one-day period. The objective of this study was to compare predictions of the diurnal soil CO2 emissions in an ...