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Scripting de técnicas cartográficas de R y GMT para el mapeo geomorfológico y topográfico del Perú

Authors: Lemenkova, Polina;

Scripting de técnicas cartográficas de R y GMT para el mapeo geomorfológico y topográfico del Perú

Abstract

El artículo presenta el uso de técnicas cartográficas de scripting para la visualización de mapas topográficos y geomorfológicos por R y GMT. Los mapas temáticos pretenden analizar la región del Perú con un enfoque específico en su geomorfología: pendiente, aspecto, elevación y sombreado realizado en las bibliotecas R «raster» y «tmap». Los materiales integrados incluyen varios conjuntos de datos integrados en la biblioteca R "OpenStreetMap": Stamen, ESRI World Imagery, Bing Maps, National Park Service. La investigación muestra un ejemplo particular del uso de conjuntos de datos de código abierto y herramientas gratuitas disponibles para la educación e investigación en línea a distancia, que se convierte en una tendencia real en la investigación geográfica moderna.

Keywords

gmt, perú, x, cartografía, Topografía, Sciences de l'ingénieur, R language, programming, Physique du globe, Géodésie appliquée topographie [géodésie], topography, Peru, Géographie physique, cartography, topografía, Cartografía, Géomorphologie et orographie, lenguaje r, Technologie de la conservation, GMT, Geography (General), Cartographie, Lenguajes de scripting, Enseignement programme, geomorphology, Programmation et méthodes de simulation, programación, Sciences de l'espace, Sémantique des langages de programmation, Sciences de la terre et du cosmos, Geomorfología, Disciplines auxiliaires de l'ingénieur, G1-922, cartography, GMT, R language, programming, Peru, geomorphology, topography, Programmation du calcul numérique, Sciences exactes et naturelles, Gravimétrie, geomorfología

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
gold