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dc.coverage.spatialHouston (Tex.)
dc.coverage.temporal2007-2009
dc.creatorLevine, Ned
dc.date.accessioned2022-04-12T18:25:46Z
dc.date.available2022-04-12T18:25:46Z
dc.date.issued2023
dc.identifier.citationLevine, N. (2022). Chapter 6.1 Supplemental Data: Global and Local Spatial Autocorrelation. Temple University Press. (Data set)
dc.identifier.urihttp://hdl.handle.net/20.500.12613/7530
dc.descriptionThis dataset is for use with the Chapter 6.1 supplemental example. See the included Readme file, and supplemental material documentation, file descriptions and code descriptions for more information.
dc.languageEnglish
dc.language.isoeng
dc.publisherTemple University. Libraries
dc.relation.ispartofResearch Data
dc.relation.ispartofTemple University Press
dc.relation.isversionofhttps://www.fbi.gov/cde
dc.relation.isreferencedbyGroff, E. R., & Haberman, C. P. (Eds.). (2023). Understanding Crime and Place: A Methods Handbook. Temple University Press.
dc.rightsPublic Domain
dc.subjectCrime
dc.subjectGeographic information systems
dc.titleChapter 6.1 Supplemental Data: Global and Local Spatial Autocorrelation
dc.typeDataset
dc.type.genreDataset
dc.contributor.groupNed Levine & Associates
dc.relation.doihttp://dx.doi.org/10.34944/dspace/7508
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.sponsorHouston Police Department
dc.creator.orcidLevine|0000-0002-1053-2663
refterms.dateFOA2022-04-12T18:25:46Z


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