Map data digitizing, editing and automatic hydrological network reconstruction

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dc.contributor.advisorLodwick, Graham D.
dc.contributor.authorMulaku, Galcano Canny
dc.coverage.spatial200000200en
dc.date.accessioned2005-07-21T21:42:54Z
dc.date.available2005-07-21T21:42:54Z
dc.date.issued1987
dc.descriptionBibliography: p. 128-142.en
dc.description.abstractLand related information systems (LRISs) have been recognized by both the public and private sectors as invaluable tools in planning and decision making for resource management in world economies. Data acquisition is an essential part of such systems because without appropriate data there is no useful system. Because land related data are mostly available in analogue map form, the data acquisition stage usually involes a digitizing and editing phase, so that the data may be structured and encoded into the LRIS database. This research has investigated and catalogued many of the current issues in digital acquisition of map data, has applied some of these to map data for a test area in the Kanaskis Valley of souther western Alberta, and has investigated methods for the automatic generation of nodes and flow direction necessary for the geometric and topological reconstruction of a digitized hydrological network. The results show that an approach which is quite simple conceptually enables the fast generation of positionally accurate nodes and, with minimal elevation data, enables the automatic determination of stream flow directions. The final output is most suitable for the generation of an arc/node (semi or fully topological) data structure which, experience has shown, offers the most versatile data manipulation and fastest response times for many LRIS tasks.
dc.format.extentxi, 142 leaves ; ill. ; 30 cm.en
dc.identifier.citationMulaku, G. C. (1987). Map data digitizing, editing and automatic hydrological network reconstruction (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/10943en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/10943
dc.identifier.isbn0315360151en
dc.identifier.lccGA 139 M84 1987en
dc.identifier.urihttp://hdl.handle.net/1880/23787
dc.language.isoeng
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subject.lccGA 139 M84 1987en
dc.subject.lcshDigital mapping
dc.subject.lcshLand use - Data processing
dc.subject.lcshHydrology - Data processing
dc.subject.lcshCartography - Data processing
dc.titleMap data digitizing, editing and automatic hydrological network reconstruction
dc.typemaster thesis
thesis.degree.disciplineSurveying Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
ucalgary.thesis.accessionTheses Collection 58.002:Box 629 520541691
ucalgary.thesis.notesoffsiteen
ucalgary.thesis.uarcreleaseyen
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