24672a
Lecture
WiSe 16/17: Fernerkundung und Geographische Informationsverarbeitung für Fortgeschrittene / Advanced Geomatics
Björn Waske
Additional information / Pre-requisites
None
Comments
Qualification objectives: Students will gain well-founded, advanced knowledge of space- and time-related raster and vector data processing in theory and practice. They are able to combine the different processes of Geographical Information Processing in order to obtain individual and appropriate solutions. Contents: Dualism of attributes in space and attribute spaces Spatial reference as object location and object attribute Aspects of temporal and spatial variance Stationary and non-stationary transitions Threshold values and boundary spaces Temporal and spatial autocorrelation Variogram analysis: from the discretum to the continuum, spatial interdependence Dispersion and concentration in space, spatial distribution patterns Non-linear and logistic models Important image data formats are presented, as well as essential concepts, methods and algorithms necessary for the thematic processing of digital image data. Particular attention will be paid to transforming these algorithms into training- and practice-oriented image processing systems. The theoretical contents of the lecture are deepened and put into practice using common software packages. close
16 Class schedule
Regular appointments
Wed, 2016-10-19 10:00 - 12:00
Wed, 2016-10-26 10:00 - 12:00
Wed, 2016-11-02 10:00 - 12:00
Wed, 2016-11-09 10:00 - 12:00
Wed, 2016-11-16 10:00 - 12:00
Wed, 2016-11-23 10:00 - 12:00
Wed, 2016-11-30 10:00 - 12:00
Wed, 2016-12-07 10:00 - 12:00
Wed, 2016-12-14 10:00 - 12:00
Wed, 2017-01-04 10:00 - 12:00
Wed, 2017-01-11 10:00 - 12:00
Wed, 2017-01-18 10:00 - 12:00
Wed, 2017-01-25 10:00 - 12:00
Wed, 2017-02-01 10:00 - 12:00
Wed, 2017-02-08 10:00 - 12:00
Wed, 2017-02-15 10:00 - 12:00