000136188 001__ 136188
000136188 005__ 20240719195438.0
000136188 0247_ $$2doi$$a10.1016/j.mex.2024.102833
000136188 0248_ $$2sideral$$a139120
000136188 037__ $$aART-2024-139120
000136188 041__ $$aeng
000136188 100__ $$0(orcid)0000-0003-3582-116X$$aFleta-Asín, Jorge$$uUniversidad de Zaragoza
000136188 245__ $$aA methodological approach for enhancing visualization of country data representation in the presence of significant spatial disparity
000136188 260__ $$c2024
000136188 5060_ $$aAccess copy available to the general public$$fUnrestricted
000136188 5203_ $$aIn this article, we present a methodological approach to address spatial disparity in global data representation, introducing an algorithm called Flexible Mapping to Understand Spatial Analysis (FLEMUSA). We utilize world maps to depict various data points across countries, revealing substantial variation among them. However, conventional choropleth maps often fail to effectively represent regions with sparse data, obscuring valuable insights. To mitigate this issue, we propose interactive graphical methods in both two and three dimensions, implemented through open-source Python code accessible via Google Colab. Our approach includes several contributions such as excluding countries without data from the representation, scaling magnitudes within country borders, focusing on regional analysis, and using logarithmic scales for bubble maps proportional to country sizes. Additionally, we offer interactive 2D and 3D representations, rotatable3D representations, and zoomable options, facilitating enhanced visualization of regional similarities amidst data heterogeneity. Through this algorithm, we aim to improve the clarity and interpretability of spatial data analysis, integrating solutions for extreme data overdispersion, all programmed with open-source code
-Utilization of world maps for visual representation of data across countries mitigating the overdispersion step by step
-Implementation of graphical methods, including interactive 2D and 3D maps, to address spatial disparity.
-Provision of open-source code for customizable graphical representations, facilitating implementation in online journals as interactive code snippets
000136188 536__ $$9info:eu-repo/grantAgreement/ES/AEI/PID2020-113338RB-I00$$9info:eu-repo/grantAgreement/ES/DGA/LMP175_21$$9info:eu-repo/grantAgreement/ES/DGA/S38-23R$$9info:eu-repo/grantAgreement/ES/DGA/S42-23R-CREVALOR$$9info:eu-repo/grantAgreement/ES/MCIU-AEI-FEDER/RTI2018-093483-B-I00$$9info:eu-repo/grantAgreement/ES/MICINN PID2022-136818NB-I00/AEI/10.13039/501100011033$$9info:eu-repo/grantAgreement/ES/UZ/JIUZ-2021-SOC-03
000136188 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000136188 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000136188 700__ $$0(orcid)0000-0002-9481-1466$$aMuñoz, Fernando$$uUniversidad de Zaragoza
000136188 700__ $$0(orcid)0000-0001-7914-2623$$aSáenz-Royo, Carlos$$uUniversidad de Zaragoza
000136188 7102_ $$14012$$2650$$aUniversidad de Zaragoza$$bDpto. Direcc.Organiza.Empresas$$cÁrea Organización de Empresas
000136188 7102_ $$14002$$2230$$aUniversidad de Zaragoza$$bDpto. Contabilidad y Finanzas$$cÁrea Economía Finan. y Contab.
000136188 773__ $$g13 (2024), 13 pp.$$tMethodsX$$x2215-0161
000136188 8564_ $$s3361500$$uhttps://zaguan.unizar.es/record/136188/files/texto_completo.pdf$$yVersión publicada
000136188 8564_ $$s1801792$$uhttps://zaguan.unizar.es/record/136188/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000136188 909CO $$ooai:zaguan.unizar.es:136188$$particulos$$pdriver
000136188 951__ $$a2024-07-19-18:28:55
000136188 980__ $$aARTICLE