{"title":"为流行病学仪表板制作的动画线形和比例符号图的有效性","authors":"Barry J Kronenfeld, Kwang il (Jason) Yoo","doi":"10.1080/15230406.2023.2264755","DOIUrl":null,"url":null,"abstract":"ABSTRACTEpidemiological maps on COVID-19 dashboards were critical to disseminating information during the pandemic, but dashboard creators faced difficulties avoiding common misinterpretation pitfalls that result from varying population density. Furthermore, most dashboards did not include animated maps despite their intuitive visual analogy to the temporal unfolding of events. This study explores the effectiveness of population cartograms as a basis for animated maps showing the progression of a pandemic. The ability to recall locations of peak case rates per population was compared for subjects receiving animated maps and cartograms overlaid with proportional symbols and choropleth colors representing case counts and rates per population, respectively. Results confirm that map readers often confuse case counts with rates on standard proportional symbol maps and fail to notice small, densely populated enumeration units on standard choropleth maps. Population cartograms reduced these common visual biases for both map forms, but map readers were unable to track rates per population on proportional symbol cartograms even with prior instruction. Although animations of standard choropleth maps and colored proportional symbol cartograms were most preferred by subjects, choropleth cartograms are recommended for consideration by dashboard creators as they effectively communicate case rate trends while avoiding visual biases associated with other map types.KEYWORDS: COVID-19map dashboardscartogramsanimationepidemiology AcknowledgmentsWe would like to express our gratitude for the editors’ and anonymous reviewers’ timely and constructive feedback.Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementAnimations used in the human subjects experiment described in this study are openly available on the first author’s website at https://castle.eiu.edu/~bjkronenfeld/projects/cagis23animations/.Additional informationFundingFunding for the human subjects experiment was provided by an Eastern Illinois University Student Impact Grant.","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"38 2‐3","pages":"0"},"PeriodicalIF":2.6000,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effectiveness of animated choropleth and proportional symbol cartograms for epidemiological dashboards\",\"authors\":\"Barry J Kronenfeld, Kwang il (Jason) Yoo\",\"doi\":\"10.1080/15230406.2023.2264755\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACTEpidemiological maps on COVID-19 dashboards were critical to disseminating information during the pandemic, but dashboard creators faced difficulties avoiding common misinterpretation pitfalls that result from varying population density. Furthermore, most dashboards did not include animated maps despite their intuitive visual analogy to the temporal unfolding of events. This study explores the effectiveness of population cartograms as a basis for animated maps showing the progression of a pandemic. The ability to recall locations of peak case rates per population was compared for subjects receiving animated maps and cartograms overlaid with proportional symbols and choropleth colors representing case counts and rates per population, respectively. Results confirm that map readers often confuse case counts with rates on standard proportional symbol maps and fail to notice small, densely populated enumeration units on standard choropleth maps. Population cartograms reduced these common visual biases for both map forms, but map readers were unable to track rates per population on proportional symbol cartograms even with prior instruction. Although animations of standard choropleth maps and colored proportional symbol cartograms were most preferred by subjects, choropleth cartograms are recommended for consideration by dashboard creators as they effectively communicate case rate trends while avoiding visual biases associated with other map types.KEYWORDS: COVID-19map dashboardscartogramsanimationepidemiology AcknowledgmentsWe would like to express our gratitude for the editors’ and anonymous reviewers’ timely and constructive feedback.Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementAnimations used in the human subjects experiment described in this study are openly available on the first author’s website at https://castle.eiu.edu/~bjkronenfeld/projects/cagis23animations/.Additional informationFundingFunding for the human subjects experiment was provided by an Eastern Illinois University Student Impact Grant.\",\"PeriodicalId\":47562,\"journal\":{\"name\":\"Cartography and Geographic Information Science\",\"volume\":\"38 2‐3\",\"pages\":\"0\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2023-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cartography and Geographic Information Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/15230406.2023.2264755\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cartography and Geographic Information Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/15230406.2023.2264755","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOGRAPHY","Score":null,"Total":0}
Effectiveness of animated choropleth and proportional symbol cartograms for epidemiological dashboards
ABSTRACTEpidemiological maps on COVID-19 dashboards were critical to disseminating information during the pandemic, but dashboard creators faced difficulties avoiding common misinterpretation pitfalls that result from varying population density. Furthermore, most dashboards did not include animated maps despite their intuitive visual analogy to the temporal unfolding of events. This study explores the effectiveness of population cartograms as a basis for animated maps showing the progression of a pandemic. The ability to recall locations of peak case rates per population was compared for subjects receiving animated maps and cartograms overlaid with proportional symbols and choropleth colors representing case counts and rates per population, respectively. Results confirm that map readers often confuse case counts with rates on standard proportional symbol maps and fail to notice small, densely populated enumeration units on standard choropleth maps. Population cartograms reduced these common visual biases for both map forms, but map readers were unable to track rates per population on proportional symbol cartograms even with prior instruction. Although animations of standard choropleth maps and colored proportional symbol cartograms were most preferred by subjects, choropleth cartograms are recommended for consideration by dashboard creators as they effectively communicate case rate trends while avoiding visual biases associated with other map types.KEYWORDS: COVID-19map dashboardscartogramsanimationepidemiology AcknowledgmentsWe would like to express our gratitude for the editors’ and anonymous reviewers’ timely and constructive feedback.Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementAnimations used in the human subjects experiment described in this study are openly available on the first author’s website at https://castle.eiu.edu/~bjkronenfeld/projects/cagis23animations/.Additional informationFundingFunding for the human subjects experiment was provided by an Eastern Illinois University Student Impact Grant.
期刊介绍:
Cartography and Geographic Information Science (CaGIS) is the official publication of the Cartography and Geographic Information Society (CaGIS), a member organization of the American Congress on Surveying and Mapping (ACSM). The Cartography and Geographic Information Society supports research, education, and practices that improve the understanding, creation, analysis, and use of maps and geographic information. The society serves as a forum for the exchange of original concepts, techniques, approaches, and experiences by those who design, implement, and use geospatial technologies through the publication of authoritative articles and international papers.