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dc.creatorKaylor, Charles
dc.date.accessioned2021-02-12T17:10:07Z
dc.date.available2021-02-12T17:10:07Z
dc.date.issued2020
dc.identifier.citationKaylor, Charles. Syllabus for Spatial Statistics. Department of Geography and Urban Studies, Temple U, Philadelphia, Fall 2020.
dc.identifier.urihttp://hdl.handle.net/20.500.12613/6147
dc.descriptionThis course provides an introduction to statistical analysis with an emphasis on urban applications. The course covers basic statistical principles of sampling, probability, and tests of significance, measures of association; ordinary least squares regression; factor, principal component and cluster analysis and an introduction to spatial applications of these tools. The course is focused on the practical application of these techniques through exposure to the rationale and principles underpinning them. Students will attend lectures and complete problem sets that provide practical experience in the application of the theoretical concepts and methodologies.
dc.format.extent8 pages
dc.languageEnglish
dc.language.isoeng
dc.relation.ispartofTextbook Affordability Project (TAP)
dc.rightsPublic Domain
dc.rights.urihttps://creativecommons.org/publicdomain/zero/1.0/
dc.subjectSpatial analysis (Statistics)
dc.subjectSocial sciences--Statistical methods
dc.subjectJMP (Computer file)
dc.titleSyllabus: Spatial Statistics, GUS 3161 (Fall 2020)
dc.typeText
dc.type.genreSyllabus
dc.description.departmentGeography and Urban Studies
dc.relation.doihttp://dx.doi.org/10.34944/dspace/6129
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.schoolcollegeTemple University. College of Liberal Arts
dc.description.sponsorTemple University Libraries Textbook Affordability Project, 2020 (Philadelphia, Pa.)
dc.temple.creatorKaylor, Charles
refterms.dateFOA2021-02-12T17:10:07Z


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