998 resultados para Diferenciación espacial


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When combining remote sensing imagery with statistical classifiers to obtain categorical thematic maps it is not usual to provide data about the spatial distribution of the error and uncertainty of the resulting maps. This paper describes, in the context of GeoViQua FP7 project, feasible approaches for methods based on several steps such as hybrid classifiers. Both for “per pixel” and “per polygon” strategies, the proposal is based on the use of the available ground truth, which is used to properly model the spatial distribution of the errors. Results allow mapping the classification success with a very high level of reliability (R2>0,94), providing users a sound knowledge of the accuracy at every area of the map.

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This research aims to set whether is possible to build spatial patterns over oil fields using DFA (Detrended Fluctuation Analysis) of the following well logs: sonic, density, porosity, resistivity and gamma ray. It was employed in the analysis a set of 54 well logs from the oil field of Campos dos Namorados, RJ, Brazil. To check for spatial correlation, it was employed the Mantel test between the matrix of geographic distance and the matrix of the difference of DFA exponents of the well logs. The null hypothesis assumes the absence of spatial structures that means no correlation between the matrix of Euclidean distance and the matrix of DFA differences. Our analysis indicate that the sonic (p=0.18) and the density (p=0.26) were the profiles that show tendency to correlation, or weak correlation. A complementary analysis using contour plot also has suggested that the sonic and the density are the most suitable with geophysical quantities for the construction of spatial structures corroborating the results of Mantel test

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The sugarcane production consists in the principal product activity in the state of Alagoas, holding a structure composed of 25 unities of production that represents the economic base of more than a half of its municipies, what make it be the biggest producer of the sector in North and Northwest, exporting its products for countries in different continents. From this reference, it was searched in the present work, to understand the configuration of the circuit space production of sugar cane in Alagoas, from the use of the territory, trough the analyses of the more significant events related to the sector, and, the established rules by the State, through the government, by organs like Institute of Sugar and Alcohol (IAA), and programs like National Alcohol Program (Proálcool), between others, that had as function to structure and to allocate resources to the sugar cane sector. It was realized that the investments done made possible the renovation of techniques used in the sugar cane complex. In the beginning, with the substitution of the mill for factories and, afterwards, the improvement of the agriculture and factory process themselves, improving the utilization of the byproduct, and the productive integration of instances, specially with the sugar, cane, electricity generation production, intensifying the participation of the state in the internation division of labor, giving it a organization structure divided by big hegemonic agents of this process. SO, the sugar cane geographic configuration existing in alagoano territory was restructured and the circuit even more pass to constitute movement of many scales, subsidized by cooperation circles. However, this configuration showed itself subservient to world commerce, what conditions the adoption of hegemonic practices that are far from the local projects and living practices. The verticality imposed offers a configuration that isn’t peculiar, that only serves to answer to the big hegemonic agent commands, characterizing the continuity of the present capitalism process. It means that the sugar cane factories use corporately the territory as resource to obtain more lucrativity and this way dominate the bigger quantity of consumer commerce

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This study aims to analyze the relationship between average price with the concentration in the markets (municipalities) in the state of Rio Grande do Norte, is using a little tool applied to the Brazilian market is the spatial econometric model. A data base contains all the stations of the major cities in the state of Rio Grande do Norte and includes 142 observations on stations was used. Theoretical models predict the relationship between the number of competitors in a market and the average price; these theoretical models include: the monopolistic competition of Perloff and Salop (1985), and the search-theoretic, of Carlson and McAfee (1983) and Varian (1980). The empirical results showed that a higher density within a geographic area is associated with a lower average price, thus converging with the monopolistic competition model and with the search-theoretic of Carlson and McAfee (1983). The parameters varied little with the inclusion / exclusion of control variables, showing the robustness of them.

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The present study aimed to develop microsatellite markers (SSR) for Copernicia prunifera; and characterize the demographic pattern and the spatial genetic structure (SGS) in different development stages of C. prunifera in a natural population of Rio Grande do Norte (RN) by using ISSR molecular markers. 17 SSR primers pairs were developed, which were tested by using DNA from samples of different populations. The demographic and genetic spatial structure was assessed in a plot with an area of 0.55 ha, where all individuals were georeferenced. The molecular analyses with the use of microsatellite markers pointed out that all built primers pairs, when submitted to PCR, had amplification. They showed sizes of base pairs ranging between 113 and 250 bp. The demographic analyses showed a clustered standard of spatial distribution in the first distance classes, random between 40 and 50 m and segregated in higher distances. Eight ISSR primers were used, thereby producing a total of 102 loci, with 100 of them being polymorphic. Among the three stages, the young showed the highest Nei’s genetic diversity index (He = 0.37); whilst the lowest index was found in the reproductive adults (He = 0.34). The AMOVA results showed a greater genetic differentiation within the development stages (98.61%) in comparison to the interval among the stages (1.39%). The total population (n = 161) showed a positive and significant relationship of kinship in the first distance class (12.3 m). The young showed a significant kinship up to 10.5 m and negative in the fifth distance class (37.6 m). The non-reproductive adults had a positive relationship of kinship in the first distance class (11.0 m) and random distribution of genotypes in the remaining classes. The reproductive adults showed genotypes spatially distributed in a random way. The values for the genetic bottleneck tests proved that the number of loci with excess observed heterozygosity was greater than expected. The SGS results reflect the restricted dispersion of the species, and the bottleneck tests reflect the reduction genotypes provoked by the anthropization of natural environments of C. prunifera.

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This dissertation is a research based on the Meaningful Learning Theory, with students from the second year of High School, in the city named Capinzal do Norte, state of Maranhão. The pedagogic approach of this research focuses on what to do and how to do so students can better grasp knowledge inherent to the Euclidean Special Geometry in a more meaningful and changing way, also that information may be kept longer in their brain, so it can last longer in the present and future. The methodological strategy adopted was the research-action, followed by the constant observance of a researcher on the matter with the purpose to ensure consistent results, which come from the use of a variety of data collector instruments, such as: Concept Maps, manipulatives, educational softwares and application of evaluative tests, besides the observations made throughout the process of investigation and the diagnosis itself. It is all due to the fact that we rely on the premise that knowledge is assimilated in particular and idiosyncratic ways, which means each and every student learns in different ways and in different periods of time. That is why it is so important to develop diversified methodologies to the same subject. This research adds to the other ones related to the theoretical frameworks of the Meaningful Learning Theory, of Concept Maps, of the use of technology on the educational process and of manipulatives, which purpose is to connect their common dots. This pedagogical intervention also focuses on the construction of the educational orientations with applicability directly on class, directed specially by the Mathematics teacher of the basic education, who might use them during your teaching practice. Such guidelines established here as an educational product aim to follow the Theory's assumptions that serves as basis to this research, thus becoming an educational element with a relevant significance. The results, with which we are faced, proved overwhelming to the proposed objectives in terms of learning, which were evident in the construction of Conceptual Maps, as well as in the use of Concrete Materials, in addition to serving as a motivational element to participating students of research. The results obtained are indeed reliable in terms of learning, considered the expected goals, and made us certain that the way we have approached the subject is consistent with a holistic education and that at the same time values the tiniest details, which are fundamental to all the learning-teaching process.

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Low birth weight (LBW) is a risk factor for neonatal and infant morbidity and mortality. In Brazil the highest percentages of low birth weight occur in regions of higher socio-economic status. The scope of this article is to ascertain the spatial distribution of low birth weight rates and the correlation with social and service indicators. The scale is ecological taking all the Brazilian states as units of analysis. The spatial analysis technique is the methodology used together with data from SINASC, IPEA and IBGE for 2009. Higher rates of low birth weight are found in the south/southeastern states (Global Moran: 0.267, p = 0.02). Clusters of the high-high type in the Southeast and of the low-low variety in states in the Amazon region are detected. The spatial inequality of low birth weight reflects the socio-economic conditions of the states. More developed regions have higher rates of low birth weight, therefore, the presence of the service and its use decrease infant mortality and increase LBW.