{"data":{"id":"10.6084/m9.figshare.1456086","type":"dois","attributes":{"doi":"10.6084/m9.figshare.1456086","prefix":"10.6084","suffix":"m9.figshare.1456086","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Cromley, Robert G.","nameType":"Personal","givenName":"Robert G.","familyName":"Cromley","affiliation":[],"nameIdentifiers":[]},{"name":"Shuowei Zhang","affiliation":[],"nameIdentifiers":[]},{"name":"Vorotyntseva, Natalia","nameType":"Personal","givenName":"Natalia","familyName":"Vorotyntseva","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"A concentration-based approach to data classification for choropleth mapping"}],"publisher":"Taylor \u0026 Francis","container":{},"publicationYear":2015,"subjects":[{"subject":"Science Policy"},{"subject":"Information and Computing Sciences"},{"subject":"Biological Sciences"},{"subject":"Sociology"},{"subject":"FOS: Sociology","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Sociology","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Chemistry"},{"subject":"Earth and Environmental Sciences"}],"contributors":[],"dates":[{"date":"2015-06-22","dateType":"Created"},{"date":"2015-12-03","dateType":"Updated"},{"date":"2015","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.1080/13658816.2015.1058388","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["1918458 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":"The choropleth map is a device used for the display of socioeconomic data associated with an areal partition of geographic space. Cartographers emphasize the need to standardize any raw count data by an area-based total before displaying the data in a choropleth map. The standardization process converts the raw data from an absolute measure into a relative measure. However, there is recognition that the standardizing process does not enable the map reader to distinguish between low–low and high–high numerator/denominator differences. This research uses concentration-based classification schemes using Lorenz curves to address some of these issues. A test data set of nonwhite birth rate by county in North Carolina is used to demonstrate how this approach differs from traditional mean–variance-based systems such as the Jenks’ optimal classification scheme.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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","url":"https://tandf.figshare.com/articles/dataset/A_concentration_based_approach_to_data_classification_for_choropleth_mapping/1456086","contentUrl":null,"metadataVersion":6,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"viewsOverTime":[],"downloadCount":0,"downloadsOverTime":[],"referenceCount":0,"citationCount":0,"citationsOverTime":[],"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2015-06-22T07:39:32.000Z","registered":"2015-06-22T07:39:33.000Z","published":"2015","updated":"2020-09-04T16:54:52.000Z"},"relationships":{"client":{"data":{"id":"figshare.ars","type":"clients"}},"provider":{"data":{"id":"otjm","type":"providers"}},"media":{"data":{"id":"10.6084/m9.figshare.1456086","type":"media"}},"references":{"data":[]},"citations":{"data":[]},"parts":{"data":[]},"partOf":{"data":[]},"versions":{"data":[]},"versionOf":{"data":[]}}}}