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Registro Completo |
Biblioteca(s): |
Embrapa Solos. |
Data corrente: |
22/11/2002 |
Data da última atualização: |
22/11/2002 |
Autoria: |
BONHAM CARTER, G. F.; AGTERBERG, F. P. |
Título: |
Application of a microcomputer-based geographic information system to mineral-potencial mapping. |
Ano de publicação: |
1990 |
Fonte/Imprenta: |
In: HANLEY, J.T.; MERRIAM, D.F. Microcomputer applications in geology, II. Oxford: Pergamon Press, 1990. |
Páginas: |
p. 49-74 |
ISBN: |
0 08 040261 5 |
Idioma: |
Inglês |
Conteúdo: |
Recent advances in technology and methods of integrating map data are making the task of mapping mineral potential by computer more appealing to the practicing geologist. Micro-based Geographic Information Systems (GIS) make the task of building a database from diverse maps relatively straighforward, even for those who are not computer specialists. Efficient commercial software packages, hierarchical data structures such as quadtrees, low-cost disk storage, and faster micros make multiple map analysis by computer easier than manual procedures, such that the light table for overlaying maps whitc may soon become a thing of the past. A recent development in methodology, termed here "weights of evidence" mapping, uses an approach for combining evidence from seve ralpredictor maps to estimate probability of mineral occurrence. Not only does the GIS aid in capturing and coregistering the input maps for this task, it also facilitates the modeling and visualization of results. In the simplest situation, each input map is converted to binary form, and a pair of weights, W+ and W-, are determined corresponding to the two map classes. The posterior log odds of a mineral occurrence within a unit cell is calculated by adding the weights of evidence (W+ and W-) from the input maps to the prior log odds. The weights of evidence are determined using the distribution of known mineral occurrences with respect to the input maps. The methods assumes that the input maps are conditionally independent of one another with respect to ... MenosRecent advances in technology and methods of integrating map data are making the task of mapping mineral potential by computer more appealing to the practicing geologist. Micro-based Geographic Information Systems (GIS) make the task of building a database from diverse maps relatively straighforward, even for those who are not computer specialists. Efficient commercial software packages, hierarchical data structures such as quadtrees, low-cost disk storage, and faster micros make multiple map analysis by computer easier than manual procedures, such that the light table for overlaying maps whitc may soon become a thing of the past. A recent development in methodology, termed here "weights of evidence" mapping, uses an approach for combining evidence from seve ralpredictor maps to estimate probability of mineral occurrence. Not only does the GIS aid in capturing and coregistering the input maps for this task, it also facilitates the modeling and visualization of results. In the simplest situation, each input map is converted to binary form, and a pair of weights, W+ and W-, are determined corresponding to the two map classes. The posterior log odds of a mineral occurrence within a unit cell is calculated by adding the weights of evidence (W+ and W-) from the input maps to the prior log odds. The weights of evidence are determined using the distribution of known mineral occurrences with respect to the input maps. The methods assumes that the input maps are conditionally indepen... Mostrar Tudo |
Palavras-Chave: |
Processamento de dados; Programacao. |
Thesagro: |
Geologia; Microcomputador. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02181naa a2200205 a 4500 001 1327739 005 2002-11-22 008 1990 bl uuuu u00u1 u #d 020 $a0 08 040261 5 100 1 $aBONHAM CARTER, G. F. 245 $aApplication of a microcomputer-based geographic information system to mineral-potencial mapping. 260 $c1990 300 $ap. 49-74 520 $aRecent advances in technology and methods of integrating map data are making the task of mapping mineral potential by computer more appealing to the practicing geologist. Micro-based Geographic Information Systems (GIS) make the task of building a database from diverse maps relatively straighforward, even for those who are not computer specialists. Efficient commercial software packages, hierarchical data structures such as quadtrees, low-cost disk storage, and faster micros make multiple map analysis by computer easier than manual procedures, such that the light table for overlaying maps whitc may soon become a thing of the past. A recent development in methodology, termed here "weights of evidence" mapping, uses an approach for combining evidence from seve ralpredictor maps to estimate probability of mineral occurrence. Not only does the GIS aid in capturing and coregistering the input maps for this task, it also facilitates the modeling and visualization of results. In the simplest situation, each input map is converted to binary form, and a pair of weights, W+ and W-, are determined corresponding to the two map classes. The posterior log odds of a mineral occurrence within a unit cell is calculated by adding the weights of evidence (W+ and W-) from the input maps to the prior log odds. The weights of evidence are determined using the distribution of known mineral occurrences with respect to the input maps. The methods assumes that the input maps are conditionally independent of one another with respect to ... 650 $aGeologia 650 $aMicrocomputador 653 $aProcessamento de dados 653 $aProgramacao 700 1 $aAGTERBERG, F. P. 773 $tIn: HANLEY, J.T.; MERRIAM, D.F. Microcomputer applications in geology, II. Oxford: Pergamon Press, 1990.
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1. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | BOMBA, J. P.; MELO, I. G.; OLIVEIRA, J. C. M. D.; REIS, D. P.; OLIVEIRA-PAIVA, C. A.; MARRIEL, I. E. Prospecting microrganisms for biofuel production prospect of microrganisms for biofuel production. In: CONGRESSO BRASILEIRO DE MICROBIOLOGIA, 29.; ENCONTRO NACIONAL DE MICROBIOLOGIA AMBIENTAL, 15., 2017, Foz do Iguaçu. Resumos... São Paulo: Sociedade Brasileira de Microbiologia, 2017.Tipo: Resumo em Anais de Congresso |
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