Artigos científicos, teses e dissertações
Publicados nas melhores instituições de ensino

While many lessons have been learned from the spatial analysis of cancer, there are several caveats that apply to many, if not all such analyses. As "flies in the ointment", these can substantially detract from a spatial analysis, and if not accounted for, can lead to weakened an...

We test various assumptions necessary for the interpretation of spatial autocorrelation analysis of gene frequency surfaces, using simulations of Wright's isolation-by-distance model with migration or selection superimposed. Increasing neighborhood size enhances spatial autocorre...

Objective: To perform a spatial analysis of suicide mortality and its correlation with socioeconomic indicators in Brazilian municipalities. Methods: This is an ecological study with Brazilian municipalities as a unit of analysis. Data on deaths from suicide and contextual vari...

Summary: New high-resolution approaches for mapping ultrastructure of cells in 3D are leading to unprecedented quantities of spatial data. Here we present Illoura, a software tool for the integrated management, analysis and visualization of these data within a semantic context, a...

The research aimed to propose a model of decision making that can assist managers in health to take actions for tuberculosis control in João Pessoa. The study was quantitative, ecological, exploratory and cross-sectional, using secondary data from cases of tuberculosis and climat...

The research aimed to propose a model of decision making that can assist managers in health to take actions for tuberculosis control in João Pessoa. The study was quantitative, ecological, exploratory and cross-sectional, using secondary data from cases of tuberculosis and climat...

The aim of this study is to analyze the regional production profile of sugar-cane agribusiness in Paraná and its implications for the economy of producing municipalities. The methodological procedures involve: literature review, data collection and exploratory spatial data analys...

The degree of spatial data dependence, which is among the issues of spatial analysis that should be considered in transportation planning, is the focus of this study. Ignoring this particularity of data can: produce wrong estimates; jeopardize the results of analyses; and, as a c...

The use of spatially referenced data in cancer studies is gaining in prominence, fueled by the development and availability of spatial analytic tools and the broadening recognition of the linkages between geography and health. We provide an overview of some of the unique characte...

Using the isolation-by-distance model as an example, we have examined several assumptions of spatial autocorrelation analysis applied to gene frequency surfaces. Gene frequency surfaces generated by a simulation of Wright's isolation-by-distance model were shown to exhibit spatia...

The detection of disease clusters is a challenge fpr public and mainly to elucidation of outbreaks occurrence, since epidemiological outbreaks are defined usually as a clustering of cases. The reviews of literature available about the indecation of watch technique of spatial anal...

Two statistics are proposed for summarizing spatial patterns of DNA diversity. These autocorrelation indices for DNA analysis, or AIDAs, can be applied to RFLP and sequence data; the resulting set of autocorrelation coefficients, or correlogram, measures whether, and to what exte...

Abstract Leprosy remains a public health problem in developing countries. Among communicable diseases, it is one of the leading causes of permanent disability. Brazil had not reached the goal of reducing cases to less than 1 per 10,000 population. This study aimed to analyze the ...

The comparison of genetic divergence or genetic distances, estimated by pairwise F ST and related statistics, with geographical distances by Mantel test is one of the most popular approaches to evaluate spatial processes driving population structure. There have been, however, rec...

Abstract: Among the exploratory spatial data analysis tools, there are indicators of spatial association, which measure the degree of spatial dependence of analysed data and can be applied to quantitative data. Another procedure available is geostatistics, which is based on the v...

Abstract Maximum spatial eigenfiltering improves the accuracy of maximum likelihood direction-of-arrival estimators for closely-spaced signal sources but may interchangeably attenuate widely-spaced signal sources, producing a severe performance degradation. Although this behavior...

Nothotsuga longibracteata, a relic and endangered conifer species endemic to subtropical China, was studied for examining the spatial-temporal population genetic variation and structure to understand the historical biogeographical processes underlying the present geographical dis...

...

...

The main objective of this study is to apply recently developed methods of physical-statistic to time series analysis, particularly in electrical inductions profiles of oil wells data, to study the petrophysical similarity of those wells in a spatial distribution. For this, we us...

The aim of this study is to systematize and make spatial analysis of indicators of sustainable development at Ceará’s cities and identify public policies that are applied to combat inequality in municipal development. The central purpose of this research is to identify and analyz...