Vectorial analysis modeling to determine spatial uncertainty among different data production scales due to error propagation

Vectorial analysis modeling to determine spatial uncertainty among different data production scales due to error propagation
Cárdenas A1., Treviño E.J2., Aguirre O.A2., Jiménez J2., González M.A2., Antonio X3., and Sánchez G1 .

1. Abraham Cárdenas Tristán, Guillermo Sánchez Díaz. Universidad Autónoma de San Luis Potosí (UASLP), Facultad de Ingeniería, Av. Dr. Manuel Nava #8, Zona Universitaria. C.P. 78290, San Luis Potosí, S.L.P. México. (abraham.cardenas@uaslp.mx, guillermo.sanchez@uaslp.mx)
2. Eduardo Javier Treviño Garza, Oscar Alberto Aguirre Calderón, Javier Jiménez Pérez, Marco Aurelio González Tagle. Universidad Autónoma de Nuevo León (UANL), Facultad de Ciencias Forestales. Carretera Nacional km. 145. AP 41. C.P. 67700. Linares, Nuevo León, México. (ejtrevin@gmail.com, oscar.aguirrecl@uanl.edu.mx, javier.jimenezp@uanl.edu.mx, marco.tagle@gmail.com)
3 Xanat Antonio Némiga. Universidad Autónoma del Estado de México (UAEM), Facultad de Geografía. Cerro de Coatepec s/n, Ciudad Universitaria, Toluca, Edo, de México. C.P. 50100. (xanynemiga@rocketmail.com)

Abstract: Given different processes in recent years to analyze vectorial data production at different scales as well as quality analysis of it, geometric primitive geocodes were analyzed forming the geographic objects representation in order to carry out a geometric-topological recognition from different ways of representing reality vectorially. We used the nearest neighbor rule combined with a classification, determining an iterative search algorithm to analyze polylines that form curves or geographic objects. This algorithm allows modeling certain spatial uncertainty indicators from different types of topological-geometric errors that have propagated significant differences between various scales correspondence of vectorial information.

Keywords: Spatial uncertainty, data quality, maps production, vectorial data, error propagation.

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