Teaching introductory GIS programming to geographers using an open source Python approach

Dados Bibliográficos

ID11954389
AutoresThomas R Etherington, Thomas Etherington (0000-0002-3187-075X, Auckland University of Technology, autor correspondente)
Ano2015
Volume40
Fascículo1
Páginas117-130
Data de publicação2015-10-19
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoJournal of Geography in Higher Education (JOURNAL)
Identificadores do periódicoISSN: 0309-8265 • E-ISSN: 1466-1845
EditoraTaylor & Francis (PUBLISHER • GB)
DOI10.1080/03098265.2015.1086981
OpenAlexW2228877040
IdiomaEN
Citações recebidas4
Referências citadas29

Computer programming is not commonly taught to geographers as a part of geographic information system (GIS) courses, but the advent of NeoGeography, big data and open GIS means that programming skills are becoming more important. To encourage the teaching of programming to geographers, this paper outlines a course based around a series of laboratories that aims to provide an introduction to programming. Methods for teaching and assessment are recommended. These laboratories use core spatial concepts that are relevant for all areas of geographic study, and use an open source Python approach that has wider logistical and pedagogical benefits

Cartography · Computer programming · Data science · Geographic information system · Geography · Mathematics education · Open source · Programming language · Python (programming language · World Wide Web · Computational Physics and Python Applications · Computer Science · Geographic Information Systems Studies · Geography Education and Pedagogy · Mathematics · Software