An algorithmic approach for simulating realistic irregular lattices.

There is a wide variety of computational experiments, or statistical simulations, in which regional scientists require regular and irregular lattices with a predefined number of polygons. While most commercial and free GIS software offer the possibility of generating regular lattices of any size, th...

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Autores:
Duque, Juan C.
Betancourt, Alejandro
Marin, Freddy
Tipo de recurso:
Fecha de publicación:
2013
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
spa
OAI Identifier:
oai:repository.eafit.edu.co:10784/1003
Acceso en línea:
http://hdl.handle.net/10784/1003
Palabra clave:
RI-Maps
MR-Polygons
Regional Science
Lattices
Computation
Experiment
Rights
License
Acceso abierto
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spelling Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees2013-07-12T16:41:30Z2013-07-122013-07-12T16:41:30Zhttp://hdl.handle.net/10784/1003C02C63There is a wide variety of computational experiments, or statistical simulations, in which regional scientists require regular and irregular lattices with a predefined number of polygons. While most commercial and free GIS software offer the possibility of generating regular lattices of any size, the generation of instances of irregular lattices is not a straightforward task. The most common strategy in this case is to find a real map that matches as closely as possible the required number of polygons. This practice is usually conducted without considering whether the topological characteristics of the selected map are close to those for an “average” map sampled in different parts of the world. In this paper, we propose an algorithm, RI-Maps, that combines fractal theory, stochastic calculus and computational geometry for simulating realistic irregular lattices with a predefined number of polygons. The irregular lattices generated with RI-Maps have guaranteed consistency in their topological characteristics, which reduces the potential distortions in the computational or statistical results due to an inappropriate selection of the lattices.spaUniversidad EAFITEscuela de Economía y FinanzasAn algorithmic approach for simulating realistic irregular lattices.workingPaperinfo:eu-repo/semantics/workingPaperDocumento de trabajo de investigacióndrafthttp://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_8042Acceso abiertohttp://purl.org/coar/access_right/c_abf2RI-MapsMR-PolygonsRegional ScienceLatticesComputationExperimentDuque, Juan C.958ae275-e0cf-4804-a01f-2b6b3aea1571-1Betancourt, Alejandrof0a01377-0e1c-4107-af25-f403c2dc9f90-1Marin, Freddyabc9e2d1-f629-48c8-aea3-d6a6a3f61e61-1jduquec1@eafit.edu.coabetan16@eafit.edu.cofmarinsa@eafit.edu.coORIGINAL2013_20_Juan_C_Duque.pdf2013_20_Juan_C_Duque.pdfapplication/pdf4278363https://repository.eafit.edu.co/bitstreams/c966ffc2-ddfd-4c78-9dab-cbf8f6c1a35c/download4020956fca172be39829ee72b07d4fd7MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-8968https://repository.eafit.edu.co/bitstreams/7d5f18a7-0253-4a9f-8ee2-efdb1ac7a146/download4cc960a42e07fca3808fbd6b90ab2a1fMD5210784/1003oai:repository.eafit.edu.co:10784/10032024-12-04 11:47:11.701open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.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
dc.title.eng.fl_str_mv An algorithmic approach for simulating realistic irregular lattices.
title An algorithmic approach for simulating realistic irregular lattices.
spellingShingle An algorithmic approach for simulating realistic irregular lattices.
RI-Maps
MR-Polygons
Regional Science
Lattices
Computation
Experiment
title_short An algorithmic approach for simulating realistic irregular lattices.
title_full An algorithmic approach for simulating realistic irregular lattices.
title_fullStr An algorithmic approach for simulating realistic irregular lattices.
title_full_unstemmed An algorithmic approach for simulating realistic irregular lattices.
title_sort An algorithmic approach for simulating realistic irregular lattices.
dc.creator.fl_str_mv Duque, Juan C.
Betancourt, Alejandro
Marin, Freddy
dc.contributor.author.none.fl_str_mv Duque, Juan C.
Betancourt, Alejandro
Marin, Freddy
dc.subject.keyword.eng.fl_str_mv RI-Maps
MR-Polygons
Regional Science
Lattices
Computation
Experiment
topic RI-Maps
MR-Polygons
Regional Science
Lattices
Computation
Experiment
description There is a wide variety of computational experiments, or statistical simulations, in which regional scientists require regular and irregular lattices with a predefined number of polygons. While most commercial and free GIS software offer the possibility of generating regular lattices of any size, the generation of instances of irregular lattices is not a straightforward task. The most common strategy in this case is to find a real map that matches as closely as possible the required number of polygons. This practice is usually conducted without considering whether the topological characteristics of the selected map are close to those for an “average” map sampled in different parts of the world. In this paper, we propose an algorithm, RI-Maps, that combines fractal theory, stochastic calculus and computational geometry for simulating realistic irregular lattices with a predefined number of polygons. The irregular lattices generated with RI-Maps have guaranteed consistency in their topological characteristics, which reduces the potential distortions in the computational or statistical results due to an inappropriate selection of the lattices.
publishDate 2013
dc.date.available.none.fl_str_mv 2013-07-12T16:41:30Z
dc.date.issued.none.fl_str_mv 2013-07-12
dc.date.accessioned.none.fl_str_mv 2013-07-12T16:41:30Z
dc.type.eng.fl_str_mv workingPaper
info:eu-repo/semantics/workingPaper
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_b1a7d7d4d402bcce
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_8042
dc.type.local.spa.fl_str_mv Documento de trabajo de investigación
dc.type.hasVersion.eng.fl_str_mv draft
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10784/1003
dc.identifier.jel.none.fl_str_mv C02
C63
url http://hdl.handle.net/10784/1003
identifier_str_mv C02
C63
dc.language.iso.eng.fl_str_mv spa
language spa
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dc.rights.local.spa.fl_str_mv Acceso abierto
rights_invalid_str_mv Acceso abierto
http://purl.org/coar/access_right/c_abf2
dc.coverage.spatial.eng.fl_str_mv Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees
dc.publisher.spa.fl_str_mv Universidad EAFIT
dc.publisher.department.spa.fl_str_mv Escuela de Economía y Finanzas
institution Universidad EAFIT
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repository.name.fl_str_mv Repositorio Institucional Universidad EAFIT
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