SPATIAL DISTRIBUTION OF FIREWOOD PRODUCTION IN NORTHEASTERN BRAZIL (1994-2013)
ABSTRACT This paper analyzed the effects of the spatial distribution of the firewood gross production value (GPV) of northeast Brazil through an exploratory approach using spatial data for the period from 1994 to 2013. Identification of spatial clusters in firewood production through the spatial wei...
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Sociedade de Investigações Florestais
2018-11-01
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doaj-a0dab1b3a14f44039d4491575b4aba6a2020-11-24T21:11:47ZengSociedade de Investigações FlorestaisRevista Árvore1806-90882018-11-0142410.1590/1806-90882018000400002S0100-67622018000400201SPATIAL DISTRIBUTION OF FIREWOOD PRODUCTION IN NORTHEASTERN BRAZIL (1994-2013)Luiz Moreira Coelho JuniorKalyne de Lourdes da Costa MartinsPablo Aurélio Lacerda de Almeida PintoMagno Vamberto Batista da SilvaABSTRACT This paper analyzed the effects of the spatial distribution of the firewood gross production value (GPV) of northeast Brazil through an exploratory approach using spatial data for the period from 1994 to 2013. Identification of spatial clusters in firewood production through the spatial weighting matrices of 2 nearest neighbors and “queen” and “rook” contiguity matrices were used. Based on the analyses, the following can be concluded: there is a positive autocorrelation for firewood GPV; the high-high spatial cluster was formed predominantly in the Bahia region; the high-high spatial cluster, which considers the weight matrix per area, was composed of the Ceará and Pernambuco mesoregions; the low-low spatial cluster consisted of the Sergipe and Alagoas mesoregions; and the low-low cluster, which considers the weight matrix per area, was formed by the Sergipe, Alagoas and Piauí regions.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622018000400201&lng=en&tlng=enForest economicsBiomassExploratory analysis of spatial data |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Luiz Moreira Coelho Junior Kalyne de Lourdes da Costa Martins Pablo Aurélio Lacerda de Almeida Pinto Magno Vamberto Batista da Silva |
spellingShingle |
Luiz Moreira Coelho Junior Kalyne de Lourdes da Costa Martins Pablo Aurélio Lacerda de Almeida Pinto Magno Vamberto Batista da Silva SPATIAL DISTRIBUTION OF FIREWOOD PRODUCTION IN NORTHEASTERN BRAZIL (1994-2013) Revista Árvore Forest economics Biomass Exploratory analysis of spatial data |
author_facet |
Luiz Moreira Coelho Junior Kalyne de Lourdes da Costa Martins Pablo Aurélio Lacerda de Almeida Pinto Magno Vamberto Batista da Silva |
author_sort |
Luiz Moreira Coelho Junior |
title |
SPATIAL DISTRIBUTION OF FIREWOOD PRODUCTION IN NORTHEASTERN BRAZIL (1994-2013) |
title_short |
SPATIAL DISTRIBUTION OF FIREWOOD PRODUCTION IN NORTHEASTERN BRAZIL (1994-2013) |
title_full |
SPATIAL DISTRIBUTION OF FIREWOOD PRODUCTION IN NORTHEASTERN BRAZIL (1994-2013) |
title_fullStr |
SPATIAL DISTRIBUTION OF FIREWOOD PRODUCTION IN NORTHEASTERN BRAZIL (1994-2013) |
title_full_unstemmed |
SPATIAL DISTRIBUTION OF FIREWOOD PRODUCTION IN NORTHEASTERN BRAZIL (1994-2013) |
title_sort |
spatial distribution of firewood production in northeastern brazil (1994-2013) |
publisher |
Sociedade de Investigações Florestais |
series |
Revista Árvore |
issn |
1806-9088 |
publishDate |
2018-11-01 |
description |
ABSTRACT This paper analyzed the effects of the spatial distribution of the firewood gross production value (GPV) of northeast Brazil through an exploratory approach using spatial data for the period from 1994 to 2013. Identification of spatial clusters in firewood production through the spatial weighting matrices of 2 nearest neighbors and “queen” and “rook” contiguity matrices were used. Based on the analyses, the following can be concluded: there is a positive autocorrelation for firewood GPV; the high-high spatial cluster was formed predominantly in the Bahia region; the high-high spatial cluster, which considers the weight matrix per area, was composed of the Ceará and Pernambuco mesoregions; the low-low spatial cluster consisted of the Sergipe and Alagoas mesoregions; and the low-low cluster, which considers the weight matrix per area, was formed by the Sergipe, Alagoas and Piauí regions. |
topic |
Forest economics Biomass Exploratory analysis of spatial data |
url |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622018000400201&lng=en&tlng=en |
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