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Geospatial Data Science deals with the processing, manipulation, analysis and visualization of spatial data in a variety of forms. Spatial data are those which contain geographical coordinates enabling them to be used for spatial analysis and mapping and include, for example, images from remote sensing, coordinates collected using navigation technologies, or census information by area, among many others. This course provides a practical introduction to concepts and methods in Geospatial Data Science for the analysis of spatial data. In this course you will gain an understanding of key concepts in Geospatial Data Science, learn how to represent the environment and the world using spatial data, and apply basic spatial analysis techniques to geographic data using programming languages. You will develop skills such as importing, manipulating, analyzing, and visualizing spatial data particularly using algorithms in R and/or Python. You will also develop an awareness of the current limitations and implications of geographic technology.
Entry subject to the approval of the Programme Director.
GISC101
Domestic fee $1,145.00
International Postgraduate fees
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
This course will not be offered if fewer than 3 people apply to enrol.
For further information see School of Earth and Environment .