Economic performance clubs in the Americas: 1955-2003

Includes bibliography

Latin American structuralism and economic theory

Includes bibliography

The importance of the manufacturing sector for Brazilian economic development

Includes bibliography

Production structure of the services sector in countries at different development levels

Includes bibliography

Chlorophyll a spatial inference using artificial neural network from multispectral images and in situ measurements

Considering the importance of monitoring the water quality parameters, remote sensing is a practicable alternative to limnological variables detection, which interacts with electromagnetic radiation, called optically active components (OAC). Among these, the phytoplankton pigment chlorophyll a is the most representative pigment of photosynthetic activity in all classes of algae. In this sense, this work aims to develop a method of spatial inference of chlorophyll a concentration using Artificial Neural Networks (ANN). To achieve this purpose, a multispectral image and fluorometric measurements were used as input data. The multispectral image was processed and the net training and validation dataset were carefully chosen. From this, the neural net architecture and its parameters were defined to model the variable of interest. In the end of training phase, the trained network was applied to the image and a qualitative analysis was done. Thus, it was noticed that the integration of fluorometric and multispectral data provided good results in the chlorophyll a inference, when combined in a structure of artificial neural networks.

Structure and dynamics of the community of periphytic algae in a subtropical reservoir (state of São Paulo, Brazil)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Spatial distribution and architecture of acromyrmex landolti forel (Hymenoptera, Formicidae) nests in pastures of Southwestern Bahia, Brazil

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Cellular automata-based spatial dynamic modeling for analyzing urban land use change

This paper analyzes land use change in Rio Claro City and its surroundings, located in the southeastern state of Sao Paulo, in the period from 1988 to 1995, using air-borne digital imagery and a cellular automata model. The simulation experiment was carried out in the Dinamica EGO platform and the results revealed a constrained urban sprawl, resulting from both the densification of residential areas implemented in previous years and the economic recession that led to an internal financial crisis in Brazil during the early 1990s. The simulation outputs were validated using a multi-resolution procedure based on a fuzzy similarity index and showed a satisfactory fitness in relation to the historical reference data. © 2013 IEEE.

Promoting economic links between the integration schemes of Latin America and the Caribbean

Includes bibliography

Population, social equity and changing production patterns

Includes bibliography

Comunicação, cultura e mídia: o mito do Unhudo da Pedra Branca

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Aglomeração urbana de Londrina: integração territorial e intensificação de fluxos

Pós-graduação em Geografia - FCT

Comparison of the socio-economic impacts of natural disasters on Caribbean societies in 2004

Includes bibliography

Dinâmica locacional das indústrias e a produção do espaço urbano em Poços de Caldas (MG)

Pós-graduação em Geografia - IGCE

A expansão da agroindústria sucroalcooleira e a questão do desenvolvimento da microrregião de Dracena-SP

Pós-graduação em Geografia - FCT