929 resultados para multiscale fractal dimension
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Analiza y critica los diversos enfoques y tendencias que se dan en América Latina sobre la incorporación de la dimensión ambiental en la planificación. Plantea una propuesta alternativa, que se centra en el enfoque instrumental considerando que éste puede responder mejor a las necesidades del desarrollo y de la planificación, y que las tareas que implica requieren y a la vez posibilitan una efectiva cooperación regional en la materia.
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We study the boundary of the 3-dimensional Rauzy fractal ε ⊂ ℝ×ℂ generated by the polynomial P(x) Dx 4-x 3-x 2-x-1. The finite automaton characterizing the boundary of ε is given explicitly. As a consequence we prove that the set ε has 18 neighboors where 6 of them intersect the central tile ε in a point. Our construction shows that the boundary is generated by an iterated function system starting with 2 compact sets.
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Analiza los principales puntos en los que el relacionamiento entre los programas sociales y sus implicaciones economicas es mas evidente. De este modo, expone que la politica social no puede ser solamente una accion compensatoria y subsidiaria del crecimiento economico, sino que el modelo economico que rija debe ser propicio para la solucion integral de los problemas socialeto
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Spanish version available
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Plant phenology is one of the most reliable indicators of species responses to global climate change, motivating the development of new technologies for phenological monitoring. Digital cameras or near remote systems have been efficiently applied as multi-channel imaging sensors, where leaf color information is extracted from the RGB (Red, Green, and Blue) color channels, and the changes in green levels are used to infer leafing patterns of plant species. In this scenario, texture information is a great ally for image analysis that has been little used in phenology studies. We monitored leaf-changing patterns of Cerrado savanna vegetation by taking daily digital images. We extract RGB channels from the digital images and correlate them with phenological changes. Additionally, we benefit from the inclusion of textural metrics for quantifying spatial heterogeneity. Our first goals are: (1) to test if color change information is able to characterize the phenological pattern of a group of species; (2) to test if the temporal variation in image texture is useful to distinguish plant species; and (3) to test if individuals from the same species may be automatically identified using digital images. In this paper, we present a machine learning approach based on multiscale classifiers to detect phenological patterns in the digital images. Our results indicate that: (1) extreme hours (morning and afternoon) are the best for identifying plant species; (2) different plant species present a different behavior with respect to the color change information; and (3) texture variation along temporal images is promising information for capturing phenological patterns. Based on those results, we suggest that individuals from the same species and functional group might be identified using digital images, and introduce a new tool to help phenology experts in the identification of new individuals from the same species in the image and their location on the ground. © 2013 Elsevier B.V. All rights reserved.
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Confronta las experiencias y conceptos sobre la incorporacion de la dimension ambiental en la planificacion del desarrollo, y explora para ello, proposiciones que permitan hacer mas efectiva la referida incorporacion a la luz de las dificultades y oportunidades que se presentan en la actual crisis de la region.