Normalizing the pandemic: exploring the cartographic issues in state government COVID-19 dashboards
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[1] E. Lengerich,et al. LionVu: A Data-Driven Geographical Web-GIS Tool for Community Health and Decision-Making in a Catchment Area , 2023, Geographies.
[2] A. Rezk,et al. Informative cartographic communication: a framework to evaluate the effects of map types on users’ interpretation of COVID-19 geovisualizations , 2023, Cartography and Geographic Information Science.
[3] X. Ye,et al. A systematic review of the modifiable areal unit problem (MAUP) in community food environmental research , 2022, Urban Inform..
[4] Melissa D. Clarkson. Web-Based COVID-19 Dashboards and Trackers in the United States: Survey Study , 2022, JMIR human factors.
[5] Jonathan Rodden,et al. Policies to influence perceptions about COVID-19 risk: The case of maps , 2022, Science advances.
[6] Eric M. Delmelle,et al. Geovisualization of COVID-19: State of the Art and Opportunities , 2021, Cartogr. Int. J. Geogr. Inf. Geovisualization.
[7] Danny T. Y. Wu,et al. U.S. COVID-19 State Government Public Dashboards: An Expert Review , 2021, Applied Clinical Informatics.
[8] Carsten Juergens,et al. Trustworthy COVID-19 Mapping: Geo-spatial Data Literacy Aspects of Choropleth Maps , 2020, KN - Journal of Cartography and Geographic Information.
[9] M. Battaglini,et al. Magnitude, demographics and dynamics of the effect of the first wave of the COVID-19 pandemic on all-cause mortality in 21 industrialized countries , 2020, Nature Medicine.
[10] Joni A. Downs,et al. Examining spatial accessibility to COVID-19 testing sites in Florida , 2020, Ann. GIS.
[11] Tao Zhang. Integrating geographic information system technique with Google Trends data to analyse COVID-19 severity and public interest , 2020, Public Health.
[12] P. Mooney,et al. Mapping COVID-19: How web-based maps contribute to the infodemic , 2020 .
[13] J. Everts. The dashboard pandemic , 2020 .
[14] A. Adams,et al. The disguised pandemic: the importance of data normalization in COVID-19 web mapping , 2020, Public Health.
[15] E. Delmelle,et al. Rapid surveillance of COVID-19 in the United States using a prospective space-time scan statistic: Detecting and evaluating emerging clusters , 2020, Applied Geography.
[16] Maged N. Kamel Boulos,et al. Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: how 21st century GIS technologies are supporting the global fight against outbreaks and epidemics , 2020, International Journal of Health Geographics.
[17] Mark Monmonier,et al. How to Lie with Maps, Third Edition , 2018 .
[18] Chuanrong Zhang,et al. Geospatial Semantic Web , 2015 .
[19] H. Van de Sompel,et al. Scholarly Context Not Found: One in Five Articles Suffers from Reference Rot , 2014, PloS one.
[20] Waldo R. Tobler,et al. Choropleth Maps Without Class Intervals , 2010 .
[21] A. Getis. The Analysis of Spatial Association by Use of Distance Statistics , 2010 .
[22] Michael W. Dobson,et al. Choropleth Maps Without Class Intervals?: A Comment , 2010 .
[23] Brandon Plewe,et al. Web Cartography in the United States , 2007 .
[24] Weidong Li,et al. The Roles of Web Feature and Web Map Services in Real-time Geospatial Data Sharing for Time-critical Applications , 2005 .
[25] W. Tobler. Thirty Five Years of Computer Cartograms , 2004 .
[26] Cynthia A. Brewer,et al. ColorBrewer.org: An Online Tool for Selecting Colour Schemes for Maps , 2003 .
[27] Cynthia A. Brewer,et al. Evaluation of Methods for Classifying Epidemiological Data on Choropleth Maps in Series , 2002 .
[28] T. Richards,et al. Geographic information systems and public health: mapping the future. , 1999, Public health reports.
[29] George F. Jenks,et al. ERROR ON CHOROPLETHIC MAPS: DEFINITION, MEASUREMENT, REDUCTION , 1971 .
[30] G. Jenks. GENERALIZATION IN STATISTICAL MAPPING , 1963 .