Avaliação do modelo de mudança do uso do solo CLUE-S na presença de dependência espacial.

VALENCIA, L. I. O.; MEIRELLES, M. S. P.; MARTORANO, L. G.

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Campo DC	Valor	Idioma
dc.contributor.author	VALENCIA, L. I. O.	pt_BR
dc.contributor.author	MEIRELLES, M. S. P.	pt_BR
dc.contributor.author	MARTORANO, L. G.	pt_BR
dc.date.accessioned	2011-08-26T11:11:11Z	pt_BR
dc.date.available	2011-08-26T11:11:11Z	pt_BR
dc.date.created	2011-08-26	pt_BR
dc.date.issued	2011	pt_BR
dc.identifier.citation	In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 15., 2011, Curitiba. Anais... São José dos Campos: INPE, 2011.	pt_BR
dc.identifier.uri	http://www.alice.cnptia.embrapa.br/alice/handle/doc/898949	pt_BR
dc.description	Land use changes impacts global environmental changes worldwide. Land use and cover changes (LUCC) are complex dynamical processes. In general, LUCC depends on geographical, environmental, social, economical and political factors with effects in diverse temporal and spatial scales. Great efforts are being made to create LUCC models, both theoretically and computationality. An important step in LUCC models is to quantify local influence of driving forces over the probability of occurrence of a specific land use type. This probability is usually quantified by a Logistic Regression Model. This paper compares a Logistic approach with a Spatial Lag Regression Model (SLRM). Generally, both approaches select different driving forces but SLRM incorporates spatial neighborhood information which is ignored by a logistic regression. Based on a lineal trend scenario for land use demand, simulations for land use changes for Coxim micro basin, Mato Grosso do Sul, were generated using CLUE-S program under a logistic and spatial regression models for the period 2001-2011. Simulation results for both approaches revealed elevated concordance indexes, high global accuracy and Kappa index, with respect to land use for the reference year of 2004. Differences were observed for spatial distribution for land use simulations for year 2011. The spatial regression approach simulation for 2011 reached less discrepancy to the land use demand for that year.	pt_BR
dc.language.iso	por	pt_BR
dc.rights	openAccess	pt_BR
dc.subject	Uso do solo	pt_BR
dc.subject	Modelo de regressão	pt_BR
dc.title	Avaliação do modelo de mudança do uso do solo CLUE-S na presença de dependência espacial.	pt_BR
dc.type	Artigo em anais e proceedings	pt_BR
dc.date.updated	2011-08-31T11:11:11Z	pt_BR
dc.subject.thesagro	Simulação	pt_BR
riaa.ainfo.id	898949	pt_BR
riaa.ainfo.lastupdate	2011-08-31	pt_BR
dc.contributor.institution	LUIS IVÁN ORTIZ VALENCIA, UFRJ/IESC; MARGARETH SIMOES PENELLO MEIRELLES, EMBRAPA LABEX EUROPA / CIRAD / UERJ; LUCIETA GUERREIRO MARTORANO, CPATU.	pt_BR
Aparece nas coleções:	Artigo em anais de congresso (CPATU)

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