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Title: Spatial-Temporal patterns of bean crop in Brazil over the Period 1990–2013
Authors: Clemente, Augusto Monso
Carvalho Júnior, Osmar Abílio de
Guimarães, Renato Fontes
Pimentel, Concepta Margaret McManus
Turazi, Caroline Machado Vasconcelos
Hermuche, Potira Meirelles
Assunto:: Autocorrelação espacial
Planejamento territorial
Desenvolvimento regional
Produtividade agrícola - Brasil
Issue Date: 3-Apr-2017
Publisher: MDPI
Citation: CLEMENTE, Augusto Monso et al. Spatial-Temporal patterns of bean crop in Brazil over the Period 1990–2013. ISPRS: International Journal of Geo-Information, v. 6, n. 4, Article 107, 3 abr. 2017. Disponível em: <>. Acesso em: 24 jul. 2017.
Abstract: The understanding of spatial dependence and distribution of agricultural production factors is a key issue for the territorial planning and regional development. This study evaluates the spatial-temporal dynamics of bean crops in Brazil over the period 1990–2013. Common bean (Phaseolus vulgaris L.) is one of the staple foods for the Brazilian population, with nationwide production and cultivated mostly by family farmers. The analyzed variables of this crop included harvested area, produced quantity, and average crop yield. We investigated spatial autocorrelations using the Global and Local Moran Index. The global spatial autocorrelation statistics demonstrated a general spatial dependence of bean production over Brazil, while the local spatial autocorrelation statistics detect statistically significant zones of high and low bean-production attributes. Maps of growth and acceleration rate of the variables were constructed, showing the areas that increased, decreased, or stagnated during the time series. The results showed a considerable reduction of the bean harvested area, but there were significant increases in produced quantity and average crop yield. Results showed distinct and significant patterns of bean-production variables in Brazilian territory over the different years. Regional differences and peculiarities are evident, emphasizing the need for directing investments to agricultural research and public policy.
Licença:: © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
Appears in Collections:GEA - Artigos publicados em periódicos

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