Introduction to Spatial Data Analysis D
Aalto University
<p>The course introduces various mathematical, statistical and computational methods in their spatial forms. The contents cover spatial data modeling methods, data management and maintenance as well as spatial algorithms, data structures, and indexing methods. The course covers various methods and techniques related to processing and analysis of spatial data including measures of autocorrelation, spatial statistics, spatial interpolation, data classification, network analysis and clustering methods, map algebra, geostatistics, and geometric problem solving. In addition, different quality concepts and measures, as well as visual analysis and multivariate visualization techniques are covered in the course.</p>
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Course dates
02 September 2025 - 27 November 2025
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Course organizer
Henrikki Tenkanen, Jussi Nikander
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Place/Venue
School of Engineering / Department of Built Environment
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City
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Country
Finland
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Workload
6
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Link
https://mycourses.aalto.fi/course/search.php?...
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