Diffusion-based density-equalizing maps: an interdisciplinary approach to visualizing homicide rates and other georeferenced statistical data

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...

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Detalles Bibliográficos
Autores principales: Mazzitello, Karina Irma, Candia, Julián Marcelo
Formato: Articulo Preprint
Lenguaje:Inglés
Publicado: 2012
Materias:
Física
Cartograms
Interdisciplinary physics
Sociophysics
Statistical visualization
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/104511
http://hdl.handle.net/11336/93837
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-104511
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Física
Cartograms
Interdisciplinary physics
Sociophysics
Statistical visualization
spellingShingle Física
Cartograms
Interdisciplinary physics
Sociophysics
Statistical visualization
Mazzitello, Karina Irma
Candia, Julián Marcelo
Diffusion-based density-equalizing maps: an interdisciplinary approach to visualizing homicide rates and other georeferenced statistical data
topic_facet Física
Cartograms
Interdisciplinary physics
Sociophysics
Statistical visualization
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.
format Articulo
Preprint
author Mazzitello, Karina Irma
Candia, Julián Marcelo
author_facet Mazzitello, Karina Irma
Candia, Julián Marcelo
author_sort Mazzitello, Karina Irma
title Diffusion-based density-equalizing maps: an interdisciplinary approach to visualizing homicide rates and other georeferenced statistical data
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
publishDate 2012
url http://sedici.unlp.edu.ar/handle/10915/104511
http://hdl.handle.net/11336/93837
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AT candiajulianmarcelo diffusionbaseddensityequalizingmapsaninterdisciplinaryapproachtovisualizinghomicideratesandothergeoreferencedstatisticaldata
bdutipo_str Repositorios
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