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...

Full description

Bibliographic Details
Main Authors: Luiz Moreira Coelho Junior, Kalyne de Lourdes da Costa Martins, Pablo Aurélio Lacerda de Almeida Pinto, Magno Vamberto Batista da Silva
Format: Article
Language:English
Published: Sociedade de Investigações Florestais 2018-11-01
Series:Revista Árvore
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622018000400201&lng=en&tlng=en
id doaj-a0dab1b3a14f44039d4491575b4aba6a
record_format Article
spelling 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
work_keys_str_mv AT luizmoreiracoelhojunior spatialdistributionoffirewoodproductioninnortheasternbrazil19942013
AT kalynedelourdesdacostamartins spatialdistributionoffirewoodproductioninnortheasternbrazil19942013
AT pabloaureliolacerdadealmeidapinto spatialdistributionoffirewoodproductioninnortheasternbrazil19942013
AT magnovambertobatistadasilva spatialdistributionoffirewoodproductioninnortheasternbrazil19942013
_version_ 1716752739826925568