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Small core, big network

A comprehensive approach to GIS teaching practice based on digital three-dimensional campus reconstruction

Datos Bibliográficos

ID11954873
AutoresLiang Cheng (0000-0002-6665-6710, Nanjing University), Wen Zhang (0000-0002-8166-2879, Nanjing University), Jiechen Wang (0000-0002-9022-8230, Nanjing University), Manchun Li (0000-0002-8689-9007, Nanjing University, autor de correspondencia), Lishan Zhong (0000-0003-1509-0750, Nanjing University)
Año2013
Volumen38
Número1
Páginas119-135
Fecha de publicación2013-10-09
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaJournal of Geography in Higher Education (JOURNAL)
Identificadores de la revistaISSN: 0309-8265 • E-ISSN: 1466-1845
EditorialTaylor & Francis (PUBLISHER • GB)
DOI10.1080/03098265.2013.845742
OpenAlexW2054596295
IdiomaEN
Citas recibidas1
Referencias citadas7

Geographic information science (GIS) features a wide range of disciplines and has broad applicability. Challenges associated with rapidly developing GIS technology and the currently limited teaching and practice materials hinder universities from cultivating highly skilled GIS graduates. Based on the idea of “small core, big network,” a comprehensive and interesting approach to GIS teaching practice is introduced in which a variety of key knowledge areas and technologies are effectively incorporated into a single project. A year-long assignment based on this approach was conducted, providing the students with practical training and successfully resulting in a digital three-dimensional representation of the campus

Big data · Core (optical fiber · Core Knowledge · Data mining · Data science · Engineering management · Geographic information system · Geography · Key (lock · Knowledge management · Remote sensing · Telecommunications · Variety (cybernetics · Computer Science · Engineering · Geographic Information Systems Studies · Geography Education and Pedagogy · Geological Modeling and Analysis · Artificial Intelligence

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Obras citantes distintas1
Citas por año0,09
Intervalo de citas2015 - 2015 (1)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 1
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae