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Campo DC | Valor | idioma |
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dc.contributor.author | Cuartero Sáez, Aurora | - |
dc.contributor.author | Paoletti Ávila, Mercedes Eugenia | - |
dc.contributor.author | García Rodríguez, Pablo | - |
dc.contributor.author | Haut Hurtado, Juan Mario | - |
dc.date.accessioned | 2024-02-02T09:08:49Z | - |
dc.date.available | 2024-02-02T09:08:49Z | - |
dc.date.issued | 2022 | - |
dc.identifier.isbn | 978-1-6654-2792-0 | - |
dc.identifier.uri | http://hdl.handle.net/10662/19717 | - |
dc.description | Ponencia presentada en IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. Kuala Lumpur, Malaysia, 17-22 July 2022 | - |
dc.description.abstract | Circular data, as a part of directional data engineering, is used in a wide range of fields such as Geology, Biology, Meteorology and Geomatics. It differs from traditional linear data because it is closed and has no beginning or end along the real line, i.e., circular data occurs around a circle, normally measured in degrees. Analyzing directional data, in particular circular data, requires methods that are be available in libraries with a well-known prestige as Python including SciPy, NumPy or SciKit-Learn libs. However, these libraries have a specific area of expertise and they do not combine information in a useful way for two-dimensional data analysis. In this paper, an open-source library has been implemented to be executed by the Python interpreter, called PyCircularStats. Source code: https://github.com/mhaut/pycircularstats | es_ES |
dc.description.sponsorship | This publication has been supported by the Consejería de Economía, Ciencia y Agenda Digital of the Junta de Extremadura, the European Regional Development Fund (ERDF) of the European Union through grant reference GR21040 and the Programa Estatal de I+D+i Orientada a los Retos de la Sociedad, Ministerio de Economía y Competitividad (PID2019-105221RB-C42) AEI /10.13039/501100011033. | es_ES |
dc.format.extent | 4 p. | es_ES |
dc.format.mimetype | application/pdf | en_US |
dc.language.iso | eng | es_ES |
dc.publisher | IEEE | es_ES |
dc.subject | Analysis data | es_ES |
dc.subject | Circular graphical statistics | es_ES |
dc.subject | Geospatial data engineering | es_ES |
dc.subject | Remote sensing | es_ES |
dc.subject | Análisis de datos | es_ES |
dc.subject | Estadísticas de gráficos circulares | es_ES |
dc.subject | Ingeniería de los datos geoespaciales | - |
dc.subject | Teledetección | - |
dc.title | Pycircularstats: a python-based tool for remote sensing circular statistics and graphical analysis | es_ES |
dc.type | conferenceObject | es_ES |
dc.description.version | peerReviewed | es_ES |
europeana.type | TEXT | en_US |
dc.rights.accessRights | closedAccess | es_ES |
dc.subject.unesco | 2506.16 Teledetección (Geología) | es_ES |
dc.subject.unesco | 1209.03 Análisis de Datos | - |
europeana.dataProvider | Universidad de Extremadura. España | es_ES |
dc.identifier.bibliographicCitation | A. Cuartero, M. E. Paoletti, P. García-Rodríguez and J. M. Haut, "PyCircularStats: A Python-Based Tool for Remote Sensing Circular Statistics and Graphical Analysis," IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022, pp. 2876-2879, doi: 10.1109/IGARSS46834.2022.9884758. | es_ES |
dc.type.version | publishedVersion | es_ES |
dc.contributor.affiliation | Universidad Complutense de Madrid | es_ES |
dc.contributor.affiliation | Universidad de Extremadura. Departamento de Expresión Gráfica | es_ES |
dc.contributor.affiliation | Departamento de Ingeniería de Sistemas Informáticos y Telemáticos | - |
dc.contributor.affiliation | Departamento de Tecnología de los Computadores y de las Comunicaciones | - |
dc.relation.publisherversion | https://ieeexplore.ieee.org/abstract/document/9884758 | es_ES |
dc.identifier.doi | 10.1109/IGARSS46834.2022.9884758 | - |
dc.identifier.publicationtitle | IEEE International Geoscience and Remote Sensing Symposium | es_ES |
dc.identifier.publicationfirstpage | 2876 | es_ES |
dc.identifier.publicationlastpage | 2879 | es_ES |
dc.identifier.orcid | 0000-0002-0219-9696 | es_ES |
dc.identifier.orcid | 0000-0003-1030-3729 | es_ES |
Colección: | DEXGR - Artículos DISIT - Artículos DTCYC - Artículos |
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