3-D Cadastral Boundary Relationship Classification Algorithms using Conformal Geometric Algebra

dc.contributor.advisorBarry, Michael
dc.contributor.advisorWang, Xin
dc.contributor.authorPullano, Dillon
dc.contributor.committeememberO'Keefe, Kyle
dc.contributor.committeememberDetchev, Ivan
dc.contributor.committeememberBarry, Michael
dc.contributor.committeememberWang, Xin
dc.contributor.committeememberRangelova, Elena
dc.date2021-06
dc.date.accessioned2021-05-07T20:50:59Z
dc.date.available2021-05-07T20:50:59Z
dc.date.issued2021-04-26
dc.description.abstractAs urban centers continue to grow and develop, there is an increasing need for institutions to be able to digitally model and perform relationship analysis on 3-D cadastral boundary data. 3-D boundary analysis can be performed through visual inspection of survey plan drawings, but this often requires professional expertise such as a land surveyor or lawyer. This study examined the development, testing, and application of methodological processes and algorithms that were designed to classify various geometrical and topological relationships between the boundary components of two 3-D cadastral units to solve cadastral boundary problems. It applied established mathematical theory using Conformal Geometric Algebra objects and operational techniques, in combination with various 3-D point-point distance evaluations and geometric concepts to the classification of relationships between 3-D cadastral boundaries. A literature search suggests that the theory and methodology as it was applied in this study have not been used to classify topological relationships between 3-D cadastral boundaries elsewhere. Six sets of data flow processing algorithms were developed to determine the relationship classifications between boundary component pair sets that exist between two 3-D cadastral units. The classification processes were first validated using seven simulated experimental testing datasets, each consisting of two cube-like units. The classification processes were then applied to a cadastral dataset that was derived from a condominium survey plan registered in Alberta, Canada. This showed how the methods developed here can be applied to solving a practical 3-D cadastral boundary problem example in the land surveying field, specifically towards validating a shared boundary between two adjacent condominium units as is intended on the plan before survey plan registration. Results from the experimental datasets support the methods that were proposed to classify 53 distinct types of topological relationships between 3-D boundary component pair sets. While this type of boundary relationship analysis can be done through visual inspection of survey plans, the methods developed here are more mathematically rigorous. These processes could be leveraged by land surveyors and land administration professionals when analyzing 3-D survey plan boundaries.en_US
dc.identifier.citationPullano, D. (2021). 3-D Cadastral Boundary Relationship Classification Algorithms using Conformal Geometric Algebra (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/38836
dc.identifier.urihttp://hdl.handle.net/1880/113376
dc.language.isoengen_US
dc.publisher.facultyScienceen_US
dc.publisher.institutionUniversity of Calgaryen
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.en_US
dc.subject3-D Cadastreen_US
dc.subjectConformal Geometric Algebraen_US
dc.subjectDigital Cadastreen_US
dc.subjectLand Managementen_US
dc.subjectTopologyen_US
dc.subject.classificationInformation Scienceen_US
dc.subject.classificationEngineeringen_US
dc.subject.classificationEngineering--Civilen_US
dc.title3-D Cadastral Boundary Relationship Classification Algorithms using Conformal Geometric Algebraen_US
dc.typemaster thesisen_US
thesis.degree.disciplineEngineering – Geomaticsen_US
thesis.degree.grantorUniversity of Calgaryen_US
thesis.degree.nameMaster of Science (MSc)en_US
ucalgary.item.requestcopytrueen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
ucalgary_2021_pullano_dillon.pdf
Size:
8.4 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
2.62 KB
Format:
Item-specific license agreed upon to submission
Description: