| 1. Identity statement | ||||
| Reference Type | Conference Paper (Conference Proceedings) | |||
| Site | marte.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Repository | dpi.inpe.br/sbsr@80/2008/11.17.20.33 | |||
| Last Update | 2009:03.29.10.14.14 (UTC) administrator | |||
| Metadata Repository | dpi.inpe.br/sbsr@80/2008/11.17.20.33.39 | |||
| Metadata Last Update | 2022:07.07.03.46.47 (UTC) administrator | |||
| Secondary Key | INPE-16069-PRE/10678 | |||
| ISBN | 978-85-17-00044-7 | |||
| Citation Key | XimenesAmarArcoMont:2009:ReNeSe | |||
| Title | Redes neurais para a seleção de variáveis ambientais no processo de modelagem de distribuição de espécies na região Norte do Brasil  | |||
| Format | DVD, On-line. | |||
| Year | 2009 | |||
| Access Date | 2024, May 17 | |||
| Secondary Type | PRE CN | |||
| Number of Files | 1 | |||
| Size | 664 KiB | |||
| 2. Context | ||||
| Author | 1 Ximenes, Arimatéa de Carvalho 2 Amaral, Silvana 3 Arcoverde, Gustavo Felipe Balué 4 Monteiro, Antônio Miguel Vieira | |||
| Resume Identifier | 1 2 3 4 8JMKD3MGP5W/3C9JGJN | |||
| Group | 1 DPI-OBT-INPE-MCT-BR 2 DPI-OBT-INPE-MCT-BR 3 4 DPI-OBT-INPE-MCT-BR | |||
| Affiliation | 1 DPI - INPE 2 dpi - inpe 3 DSR - INPE 4 dpi - inpe | |||
| Author e-Mail Address | 1 arimatea@dpi.inpe.br 2 silvana@dpi.inpe.br 3 gustavo@dsr.inpe.br 4 miguel@dpi.inpe.br | |||
| Editor | Epiphanio, José Carlos Neves Galvão, Lênio Soares | |||
| e-Mail Address | lise@dpi.inpe.br | |||
| Conference Name | Simpósio Brasileiro de Sensoriamento Remoto, 14 (SBSR) | |||
| Conference Location | Natal | |||
| Date | 25-30 abr. 2009 | |||
| Publisher | Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Publisher City | São José dos Campos | |||
| Pages | 5531-5538 | |||
| Book Title | Anais | |||
| Tertiary Type | Artigo | |||
| Organization | Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| History (UTC) | 2008-11-18 00:53:05 :: silvana@dpi.inpe.br -> lise@dpi.inpe.br :: 2008-12-02 16:06:39 :: lise@dpi.inpe.br -> sbsr :: 2008-12-15 19:58:50 :: sbsr -> lise@dpi.inpe.br :: 2009-01-19 13:44:42 :: lise@dpi.inpe.br -> sbsr :: 2009-02-19 20:17:34 :: sbsr -> administrator :: 2009-05-28 13:03:08 :: administrator -> lise@dpi.inpe.br :: 2009-06-09 19:31:44 :: lise@dpi.inpe.br -> marciana :: 2009-06-22 13:55:24 :: marciana -> erich@sid.inpe.br :: 2009-06-26 18:25:39 :: erich@sid.inpe.br -> administrator :: 2009-08-05 01:59:46 :: administrator -> erich@sid.inpe.br :: 2010-05-14 02:40:41 :: erich@sid.inpe.br -> marciana :: 2011-02-16 14:17:14 :: marciana -> administrator :: 2009 2022-07-07 03:46:47 :: administrator -> :: 2009 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Keywords | : spatial correlation Self Organizing Maps neural network spatial distribution modeling and climate data | |||
| Abstract | Predictive species distributions models works over species occurrence records and environmental data to produce a model of the species requirements and a map of its potential geographical distribution. The large number of environmental data available for species distribution modeling requires a rigorous pre-processing analysis: models generated with a few non-correlated variables are more robust and easily interpreted. This work proposes using neural network approach (Self Organizing Maps) to analyze the spatial dependence of climatic and bioclimatic variables commonly used in species distribution modeling. The spatial heterogeneity of 58 variables were prepared based on cells space in approach, provided by TerraView, and analyzed in the neural map Considering the Brazilian North Region Brazilian as area of interest, it was identified some groups by its spatial correlation, and it was observed that latitude, longitude and altitude could substitute most of climatic variables, offering better spatial resolution. This methodological approach can be applied over different regions and data sets offering a spatial criteria for variable selection and optimizing the modeling process. | |||
| Area | SRE | |||
| Type | Monitoramento e Modelagem Ambiental | |||
| doc Directory Content | access | |||
| source Directory Content |
| |||
| agreement Directory Content | there are no files | |||
| 4. Conditions of access and use | ||||
| data URL | http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.20.33 | |||
| zipped data URL | http://urlib.net/zip/dpi.inpe.br/sbsr@80/2008/11.17.20.33 | |||
| Language | pt | |||
| Target File | 5531-5538.pdf | |||
| User Group | administrator silvana@dpi.inpe.br lise@dpi.inpe.br marciana erich@sid.inpe.br administrator | |||
| Reader Group | administrator silvana@dpi.inpe.br | |||
| Visibility | shown | |||
| 5. Allied materials | ||||
| Mirror Repository | dpi.inpe.br/marte1@80/2009/05.26.17.02 | |||
| Next Higher Units | 8JMKD3MGPCW/3EQCCU5 | |||
| Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.40.32 2 | |||
| Host Collection | dpi.inpe.br/netuno@1905/2006/07.17.20.18 dpi.inpe.br/banon/2003/12.10.19.30 | |||
| 6. Notes | ||||
| Sponsor | CNPq | |||
| Mark | 1 | |||
| Empty Fields | archivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition identifier issn label lineage nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor shorttitle tertiarymark url versiontype volume | |||