Methods in spatial analysis  

Students therefore will be able to immediately apply the respective methods in project-oriented work and take methodological responsibilities in working groups and complex workflows. Depending on individual choices, students will: ‐ Design and implement advanced geovisualisation interfaces for use-case oriented media, devices and user experiences. Decide on adequate Remote Sensing data sources and workflows across available passive and active sensors. ‐ Apply the Object-Based Image Analysis (OBIA) paradigm to the extraction of features and monitoring of change across remote sensing application domains. Select and implement advanced geodata acquisition processes using e.g. photogrammetry, LiDAR, in-situ and mobile sensors, crowdsourcing and UAV platforms, including real-time data streams . Prepare and support decisions through (geo-)simulation. Choose and apply spatial- and geo-statistical methods to analyse.Mmultidimensional and multivariate data sets to explain and model complex relations and processes. Manage information extraction from large (‘big’) data sets, including flow of data, DBMS aspects and pattern analysis.
Presential
English
Methods in spatial analysis
English

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