Diffusion-Based Density-Equalizing Maps: An Interdisciplinary Approach to Visualizing Homicide Rates and Other Georeferenced Statistical Data

Autores
Mazzitello, Karina Irma; Candia, Julián Marcelo
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In every country, public and private agencies allocate extensive funding to collect large-scale statistical data, which in turn are studied and analyzed in order to determine local, regional, national, and international policies regarding all aspects relevant to the welfare of society. One important aspect of that process is the visualization of statistical data with embedded geographical information, which most often relies on archaic methods such as maps colored according to graded scales. In this work, we apply nonstandard visualization techniques based on physical principles. We illustrate the method with recent statistics on homicide rates in Brazil and their correlation to other publicly available data. This physics-based approach provides a novel tool that can be used by interdisciplinary teams investigating statistics and model projections in a variety of fields such as economics and gross domestic product research, public health and epidemiology, sociodemographics, political science, business and marketing, and many others.
Fil: Mazzitello, Karina Irma. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina
Fil: Candia, Julián Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina
Materia
CARTOGRAMS
INTERDISCIPLINARY PHYSICS
SOCIOPHYSICS
STATISTICAL VISUALIZATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/93837
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Diffusion-Based Density-Equalizing Maps: An Interdisciplinary Approach to Visualizing Homicide Rates and Other Georeferenced Statistical DataMazzitello, Karina IrmaCandia, Julián MarceloCARTOGRAMSINTERDISCIPLINARY PHYSICSSOCIOPHYSICSSTATISTICAL VISUALIZATIONhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1In every country, public and private agencies allocate extensive funding to collect large-scale statistical data, which in turn are studied and analyzed in order to determine local, regional, national, and international policies regarding all aspects relevant to the welfare of society. One important aspect of that process is the visualization of statistical data with embedded geographical information, which most often relies on archaic methods such as maps colored according to graded scales. In this work, we apply nonstandard visualization techniques based on physical principles. We illustrate the method with recent statistics on homicide rates in Brazil and their correlation to other publicly available data. This physics-based approach provides a novel tool that can be used by interdisciplinary teams investigating statistics and model projections in a variety of fields such as economics and gross domestic product research, public health and epidemiology, sociodemographics, political science, business and marketing, and many others.Fil: Mazzitello, Karina Irma. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Departamento de Física; ArgentinaFil: Candia, Julián Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; ArgentinaSociedade Brasileira de Física2012-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/93837Mazzitello, Karina Irma; Candia, Julián Marcelo; Diffusion-Based Density-Equalizing Maps: An Interdisciplinary Approach to Visualizing Homicide Rates and Other Georeferenced Statistical Data; Sociedade Brasileira de Física; Brazilian Journal Of Physics; 42; 5-6; 12-2012; 365-3720103-97331678-4448CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://link.springer.com/article/10.1007%2Fs13538-012-0091-0info:eu-repo/semantics/altIdentifier/doi/10.1007/s13538-012-0091-0info:eu-repo/semantics/altIdentifier/url/https://arxiv.org/abs/1206.4777info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:37:16Zoai:ri.conicet.gov.ar:11336/93837instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:37:16.445CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Diffusion-Based Density-Equalizing Maps: An Interdisciplinary Approach to Visualizing Homicide Rates and Other Georeferenced Statistical Data
title Diffusion-Based Density-Equalizing Maps: An Interdisciplinary Approach to Visualizing Homicide Rates and Other Georeferenced Statistical Data
spellingShingle Diffusion-Based Density-Equalizing Maps: An Interdisciplinary Approach to Visualizing Homicide Rates and Other Georeferenced Statistical Data
Mazzitello, Karina Irma
CARTOGRAMS
INTERDISCIPLINARY PHYSICS
SOCIOPHYSICS
STATISTICAL VISUALIZATION
title_short Diffusion-Based Density-Equalizing Maps: An Interdisciplinary Approach to Visualizing Homicide Rates and Other Georeferenced Statistical Data
title_full Diffusion-Based Density-Equalizing Maps: An Interdisciplinary Approach to Visualizing Homicide Rates and Other Georeferenced Statistical Data
title_fullStr Diffusion-Based Density-Equalizing Maps: An Interdisciplinary Approach to Visualizing Homicide Rates and Other Georeferenced Statistical Data
title_full_unstemmed Diffusion-Based Density-Equalizing Maps: An Interdisciplinary Approach to Visualizing Homicide Rates and Other Georeferenced Statistical Data
title_sort Diffusion-Based Density-Equalizing Maps: An Interdisciplinary Approach to Visualizing Homicide Rates and Other Georeferenced Statistical Data
dc.creator.none.fl_str_mv Mazzitello, Karina Irma
Candia, Julián Marcelo
author Mazzitello, Karina Irma
author_facet Mazzitello, Karina Irma
Candia, Julián Marcelo
author_role author
author2 Candia, Julián Marcelo
author2_role author
dc.subject.none.fl_str_mv CARTOGRAMS
INTERDISCIPLINARY PHYSICS
SOCIOPHYSICS
STATISTICAL VISUALIZATION
topic CARTOGRAMS
INTERDISCIPLINARY PHYSICS
SOCIOPHYSICS
STATISTICAL VISUALIZATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In every country, public and private agencies allocate extensive funding to collect large-scale statistical data, which in turn are studied and analyzed in order to determine local, regional, national, and international policies regarding all aspects relevant to the welfare of society. One important aspect of that process is the visualization of statistical data with embedded geographical information, which most often relies on archaic methods such as maps colored according to graded scales. In this work, we apply nonstandard visualization techniques based on physical principles. We illustrate the method with recent statistics on homicide rates in Brazil and their correlation to other publicly available data. This physics-based approach provides a novel tool that can be used by interdisciplinary teams investigating statistics and model projections in a variety of fields such as economics and gross domestic product research, public health and epidemiology, sociodemographics, political science, business and marketing, and many others.
Fil: Mazzitello, Karina Irma. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina
Fil: Candia, Julián Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina
description In every country, public and private agencies allocate extensive funding to collect large-scale statistical data, which in turn are studied and analyzed in order to determine local, regional, national, and international policies regarding all aspects relevant to the welfare of society. One important aspect of that process is the visualization of statistical data with embedded geographical information, which most often relies on archaic methods such as maps colored according to graded scales. In this work, we apply nonstandard visualization techniques based on physical principles. We illustrate the method with recent statistics on homicide rates in Brazil and their correlation to other publicly available data. This physics-based approach provides a novel tool that can be used by interdisciplinary teams investigating statistics and model projections in a variety of fields such as economics and gross domestic product research, public health and epidemiology, sociodemographics, political science, business and marketing, and many others.
publishDate 2012
dc.date.none.fl_str_mv 2012-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/93837
Mazzitello, Karina Irma; Candia, Julián Marcelo; Diffusion-Based Density-Equalizing Maps: An Interdisciplinary Approach to Visualizing Homicide Rates and Other Georeferenced Statistical Data; Sociedade Brasileira de Física; Brazilian Journal Of Physics; 42; 5-6; 12-2012; 365-372
0103-9733
1678-4448
CONICET Digital
CONICET
url http://hdl.handle.net/11336/93837
identifier_str_mv Mazzitello, Karina Irma; Candia, Julián Marcelo; Diffusion-Based Density-Equalizing Maps: An Interdisciplinary Approach to Visualizing Homicide Rates and Other Georeferenced Statistical Data; Sociedade Brasileira de Física; Brazilian Journal Of Physics; 42; 5-6; 12-2012; 365-372
0103-9733
1678-4448
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/article/10.1007%2Fs13538-012-0091-0
info:eu-repo/semantics/altIdentifier/doi/10.1007/s13538-012-0091-0
info:eu-repo/semantics/altIdentifier/url/https://arxiv.org/abs/1206.4777
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Sociedade Brasileira de Física
publisher.none.fl_str_mv Sociedade Brasileira de Física
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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