{"data":{"id":"10.6084/m9.figshare.3814665.v1","type":"dois","attributes":{"doi":"10.6084/m9.figshare.3814665.v1","prefix":"10.6084","suffix":"m9.figshare.3814665.v1","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Locke, Dexter","nameType":"Personal","givenName":"Dexter","familyName":"Locke","affiliation":[],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-2704-9720","nameIdentifierScheme":"ORCID"}]}],"titles":[{"title":"Data and R code supplement to \"What’s scale got to do with it? Models for urban tree canopy\""}],"publisher":"figshare","container":{},"publicationYear":2016,"subjects":[{"subject":"160401 Economic Geography","subjectScheme":"FOR"},{"subject":"FOS: Social and economic geography","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Social and economic geography","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"160403 Social and Cultural Geography","subjectScheme":"FOR"},{"subject":"120504 Land Use and Environmental Planning","subjectScheme":"FOR"},{"subject":"120507 Urban Analysis and Development","subjectScheme":"FOR"},{"subject":"140218 Urban and Regional Economics","subjectScheme":"FOR"},{"subject":"FOS: Economics and business","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Economics and business","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"140205 Environment and Resource Economics","subjectScheme":"FOR"},{"subject":"50206 Environmental Monitoring","subjectScheme":"FOR"},{"subject":"FOS: Earth and related environmental sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Earth and related environmental sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Environmental Science"},{"subject":"50205 Environmental Management","subjectScheme":"FOR"}],"contributors":[],"dates":[{"date":"2016-09-17","dateType":"Created"},{"date":"2016-09-17","dateType":"Updated"},{"date":"2016","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsPreviousVersionOf","relatedIdentifier":"10.6084/m9.figshare.3814665","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["1174718723 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This fileset accompanies this paper:\u003cbr\u003e(CITATION)\u003cbr\u003e\u003cbr\u003eThe files set contains the single level Census Block Group shapefile (1.3 MB), the two-level *.dbf file (~145 MB), the R script (as an *.rtf) used for the paper, and the resulting zipped *.R file (1.03GB zipped, 1.15GB) created by that script. The two-level polygons are not provided to keep the file size manageable. \u003cbr\u003eThe script contains the field names and their descriptions, see also Table 1 in the paper.\u003cbr\u003eThe script will automatically download the data needed to recreate the analyses presented in the paper, but the *.R can be downloaded directly to avoid the running the whole script, which can take up to 12 hours because of the really complex models.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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","url":"https://figshare.com/articles/dataset/Data_and_R_code_supplement_to_What_s_scale_got_to_do_with_it_Models_for_urban_tree_canopy_/3814665/1","contentUrl":null,"metadataVersion":7,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":2,"viewsOverTime":[{"yearMonth":"2025-03","total":1},{"yearMonth":"2025-03","total":1}],"downloadCount":2,"downloadsOverTime":[{"yearMonth":"2025-03","total":1},{"yearMonth":"2025-03","total":1}],"referenceCount":0,"citationCount":1,"citationsOverTime":[{"year":"2022","total":1}],"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2016-09-17T19:15:56.000Z","registered":"2016-09-17T19:15:57.000Z","published":"2016","updated":"2025-04-01T05:18:39.000Z"},"relationships":{"client":{"data":{"id":"figshare.ars","type":"clients"}},"provider":{"data":{"id":"otjm","type":"providers"}},"media":{"data":{"id":"10.6084/m9.figshare.3814665.v1","type":"media"}},"references":{"data":[]},"citations":{"data":[{"id":"10.1093/jue/juw006","type":"dois"}]},"parts":{"data":[]},"partOf":{"data":[]},"versions":{"data":[]},"versionOf":{"data":[]}}}}