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1. Identity statement
Reference TypeThesis or Dissertation (Thesis)
Sitemtc-m16c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier83LX3pFwXQZ5aVSMw/wugeT
Repositorydpi.inpe.br/hilcea/2002/12.17.09.54   (restricted access)
Last Update2001:06.11.18.26.07 (UTC) sergio
Metadata Repositorydpi.inpe.br/hilcea/2002/12.17.09.55
Metadata Last Update2020:05.14.13.16.29 (UTC) administrator
Secondary KeyINPE-18234-TAE/90
Citation KeyMedeiros:1999:TeApGe
TitleBancos de Dados Geográficos e Redes Neurais Artificiais: Tecnologias de Apoio à Gestão de Território
Alternate Titlex
CourseGeografia Fisica
Year1999
DateJulho
Access Date2024, Apr. 28
Thesis TypeTese de Doutorado
Secondary TypeTAE
Number of Pages218
Number of Files18
Size8852 KiB
2. Context
AuthorMedeiros, José Simeão
CommitteeLombardo, Magda Adelaide
Monteiro, Antônio Miguel Vieira
Becker, Bertha
Moraes, Antônio Carlos Robert
Ross, Jurandir Luciano S.
Batista, Getúlio Teixeira
UniversityUniversidade de Sao Paulo (USP)
History (UTC)2009-07-07 13:23:50 :: administrator -> jefferson ::
2009-07-08 15:16:31 :: jefferson -> camila ::
2010-03-08 17:06:55 :: camila -> administrator ::
2018-06-04 04:22:17 :: administrator -> sergio :: 1999
2019-09-24 18:06:11 :: sergio -> administrator :: 1999
2020-05-14 13:16:29 :: administrator -> simone :: 1999
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Keywordsx
AbstractThis work presents the development of a tool to support the land management called Geographical Data Base (GDB) formed by a georrefered data base, a data base management system (DBMS), a geographic information system (GIS) and an artificial neural net simulator (ANNS). The methodological approach allowed the conceptual modelling of the methodology of the ZEE (Ecological-Economic Zoning) institutional program (Becker e Egler [10]) within GDB, using both field and object concepts, in which the geographic entities defined by Becker e Egler [10] and Crepani et alii [31] were modelled. Using this computacional framework both natural and socio-economic data were corrected and improved, and also procedures of satellite image interpretation using image processing techniques, of analysis and data manipulation using GIS tools, were accomplished. These procedures allowed to define basic units of mapping and to get the following synthesis proposed by Becker e Egler [10] for the study area located in State of Rondonia: social potenciality, environmental vulnerability, environmental sustentability, land management maps, and guidelines about land management. With the abiotic and biotic data, two different geographical inference methods were used to produce the environmental vulnerability map: a) the common Map Algebra approach and b) an Artificial Neural Network approach - as a technique to deal with the non-linearities involved in inferencial processes. Error matrices were computed from cross tabulation among different scenaries obtained from those inference methods. A good overall accuracy (over 90%) was obtained when ANN and Map Algebra scenaries were compared. Medium overall accuracies (around 60%) were obtained when ANN and Map Algebra were compared with scenaries obtained by manual procedures suggested by Crepani et alii [31].
AreaSRE
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languagept
Target Fileindex.html
User Groupadministrator
jefferson
Visibilityshown
Read Permissiondeny from all
Update Permissionnot transferred
5. Allied materials
Host Collectiondpi.inpe.br/banon/2001/01.29.15.45
sid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notes
Empty Fieldsacademicdepartment affiliation archivingpolicy archivist callnumber city copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress electronicmailaddress format group isbn issn label lineage mark mirrorrepository nextedition nexthigherunit notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress readergroup resumeid rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url versiontype
7. Description control
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