PDF (Español (España))
FLIP
This journal provides immediately free access to its contents under the principle that make available the research results for free to the public, helps for a greater global exchange of knowledge.
Therefore, the journal invokes the Creative Commons 4.0
License attributions: Recognition – Non-commertial - Share equal. Commercial use and distribution of original or derivative works are not permitted and must be done with a equal license as the one that regulate the original work.
Abstract
El presente artículo es un estudio empírico comparativo de los diferentes procesos de geocodificación que se realiza en la Alcaldía de Medellín para la georreferenciación de información primaria en todos sus procesos de gobernabilidad y desarrollo territorial, los cual son el soporte para la toma de decisiones y la planeación de los recursos públicos. Dentro de los procesos a analizar se encuentra los métodos determinísticos y probabilísticos que permiten por medio de la estandarización y normalización de las direcciones un resultado enmarcado en un entorno espacial que cumpla con criterios de calidad tanto en el porcentaje de acierto de las direcciones encontradas como en la exactitud posicional del resultado, el cual es utilizado para los diferentes tipos de análisis espaciales en temas de seguridad, planeación territorial, asistencia social, infraestructura de vías, salud, catastro, medio ambiente, educación, atención a víctimas del conflicto y pqrs (peticiones, quejas, reclamos y solicitudes).
References
ESRI. “Geocoding Rule Base Developer Guide”, Redlands, CA, 2003. Online [May. 2013].
H. L. Dunn. "Record Linkage". American Journal of Public Health 36 (12): pp. 1412–1416, 1946.
H. B. Newcombe, J.M. Kennedy, S.J. Axford and A. P. James. "Automatic Linkage of Vital Records". Science 130(3381), pp. 954–959, 1959.
I. P. Fellegi and A. B. Sunter. "A Theory for Record Linkage". Journal of the American Statistical Association 64 (328): pp. 1183–1210, 1969.
LL. Roos and A. Wajda. “Record linkage strategies. Methods of Information in Medicine”, Silver Spring, v. 30, n. 2, pp. 117–123, 1991.
C. A. Boussy, and K. G. Scott, “Use of data base linkage methodology in epidemiological studies of mental retardation”. International Review of Research in Mental Retardation, San Diego, v. 19, pp. 135-161, 1993.
S. Gomatam, and R. A. Carter, “Computerized stepwise deterministic strategy for linkage”, Gainesville: University of Florida, Department of Statistics. Technical Report, 1999.
P. A. Zandbergen, “A comparison of address point, parcel and street geocoding techniques”. Computers, Environment and Urban System, Vol. 32, Issue3, pages 214-232, Copyright © Elsevier Ltd. All rights reserved, 2008.
P. Christen, T. Churches and J. X. Zhu, “Probabilistic name and address cleaning and standardization”. The Australasian Data Mining Conference, Canberra, Australia, December 3, 2002.
A. Morales P., “Medellín en la memoria de Ricardo Olano” Colección Biblioteca Básicas de Medellín Tomo 23, Medellín, Colombia. p. 40, 2006.
E. A. Whitsel, K. M. Rose, J. L. Wood, A. C. Henley, D. Liao and G. Heiss, “Accuracy and repeatability of commercial geocoding”. American Journal of Epidemiology, 160(10), pp. 1023–1029, 2004.
J. H. Ratcliffe, “Geocoding crime and a first estimate of a minimum acceptable hit rate”. International Journal of Geographical Information Science, 18(1), pp. 61–72, 2004.
S. M. Dearwent, R. J. Jacobs and J. B. Halbert, “Locational uncertainty in georeferencing public health datasets”. Journal of Exposure Analysis and Environmental Epidemiology, 11, pp. 329-334, 2001.
M. R. Cayo and T. O. Talbot, “Positional error in automated geocoding of residential addresses”. International Journal of Health Geographics, 2(10), 2003.
M. R. Bonner, D. Han, J. Nie, P. Rogerson, J. E. Vena, and J. L. Freudenheim, “Positional accuracy of geocoded addresses in epidemiologic research”. Epidemiology, 14(4), pp. 408–412, 2003.
H. A. Karimi and M. Durcik, “Evaluation of uncertainties associated with geocoding techniques”. Computer-Aided Civil and Infrastructure Engineering, 19, pp. 170-185, 2004.
M. H. Ward, J. R. Nuckols, J. Giglierano, M. R. Bonner, C. Wolter, M. Airola, W. Mix, JS. Colt and P. Hartge, “Positional accuracy of two methods of geocoding”. Epidemiology, 16(4), pp. 542-547, 2005.
E. A. Whitsel, P. M. Quibrera, R. L. Smith, D. J. Catellier, D. Liao, A. C. Henley and G. Heiss, “Accuracy of commercial geocoding: Assessment and implications”. Epidemiological Perspectives and Innovations, 3(8), 2006.
F. B. Zhan, J. D. Brender, I. De Lima, L. Suarez and P. H. Langlois, “Match rate and positional accuracy of two geocoding methods for epidemiologic research”. Annals of Epidemiology, 16(11), pp. 842–849, 2006.
M. Schootman, D. A. Sterling, J. Struthers, Y. Yan, T. Laboube, B. Emo and G. Higgs, “Positional accuracy and geographic bias of four methods of geocoding in epidemiologic research”. Annals of Epidemiology, 17(6), pp. 464–470, 2007.
M. J. Strickland, C. Siffel, B. R. Gardner, A. K. Berzen and A. Correa, “Quantifying geocode location error using GIS methods”. Environmental Health, 6(10), 2007.
P. A. Zandbergen, “Influence of geocoding quality on environmental exposure assessment of children living near high traffic roads”. BMC Public Health, 7(37), 2007.
D. L. Zimmerman, X. Fang, S. Mazumdar, and G. Rushton, “Modeling the probability distribution of positional errors incurred by residential address geocoding”. International Journal of Health Geographics, 6(1), 2007.
Downloads
Cited by
