ARCVIEW tutorial and database development based on a Senegalese local community cartographic model: Ross-Bethio rural community

Persistent Link:
http://hdl.handle.net/10150/278624
Title:
ARCVIEW tutorial and database development based on a Senegalese local community cartographic model: Ross-Bethio rural community
Author:
Niane, Mamadou, 1961-
Issue Date:
1997
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
Through this work a database and an ARCVIEW tutorial based on a Senegalese local community cartographic model is developed. The Ross-Bethio rural community model was selected as an example of solving methodological problems in natural resources management at the scale of a rural local community. The tutorial developed will also support Geographic Information Systems Instruction for natural resources management in Senegal using a local known database model. The process of solving the problems identified are based mostly on natural resources management concerns of the local community council and will help users to learn and understand the use of ARCVIEW GIS for spatial analysis. A solution is provided that will help the instructors to evaluate their results with these in this study. However, the tutorial is not a self-taught one for ARCVIEW GIS, but an instructional supervised one.
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Agriculture, General.; Education, Technology of.; Information Science.; Environmental Sciences.; Urban and Regional Planning.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College; Renewable natural resources
Degree Grantor:
University of Arizona
Advisor:
Ball, George

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleARCVIEW tutorial and database development based on a Senegalese local community cartographic model: Ross-Bethio rural communityen_US
dc.creatorNiane, Mamadou, 1961-en_US
dc.contributor.authorNiane, Mamadou, 1961-en_US
dc.date.issued1997en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThrough this work a database and an ARCVIEW tutorial based on a Senegalese local community cartographic model is developed. The Ross-Bethio rural community model was selected as an example of solving methodological problems in natural resources management at the scale of a rural local community. The tutorial developed will also support Geographic Information Systems Instruction for natural resources management in Senegal using a local known database model. The process of solving the problems identified are based mostly on natural resources management concerns of the local community council and will help users to learn and understand the use of ARCVIEW GIS for spatial analysis. A solution is provided that will help the instructors to evaluate their results with these in this study. However, the tutorial is not a self-taught one for ARCVIEW GIS, but an instructional supervised one.en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectAgriculture, General.en_US
dc.subjectEducation, Technology of.en_US
dc.subjectInformation Science.en_US
dc.subjectEnvironmental Sciences.en_US
dc.subjectUrban and Regional Planning.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineRenewable natural resourcesen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorBall, Georgeen_US
dc.identifier.proquest1387707en_US
dc.identifier.bibrecord.b37742462en_US
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