Yanan Xin: Catalogue data in Autumn Semester 2023 |
| Name | Dr. Yanan Xin |
| Address | Inst. f. Kartografie u. Geoinform. ETH Zürich, HIL G 37.1 Stefano-Franscini-Platz 5 8093 Zürich SWITZERLAND |
| Telephone | +41 44 633 32 77 |
| yanxin@ethz.ch | |
| Department | Civil, Environmental and Geomatic Engineering |
| Relationship | Lecturer |
| Number | Title | ECTS | Hours | Lecturers | |||||||||||||||||||||||
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| 103-0251-00L | Computational Methods for Geospatial Analysis | 4 credits | 4G | K. Schindler, J. A. Butt, B. Soja, Y. Xin | |||||||||||||||||||||||
| Abstract | Introduction to mathematical and statistical tools for geospatial data analysis. | ||||||||||||||||||||||||||
| Learning objective | The goal is to familiarise students with the principles and tools of geospatial data analysis, and to enable them to apply those tools to practical tasks. | ||||||||||||||||||||||||||
| Content | The course introduces basic methods of geostatistics and geospatial data analysis. Topics include spatial correlation, auto-correlation and the variogram; surface interpolation (kernel-based, kriging, parametric surface models); spatially adaptive filtering (bilinear, guided filter); spatial stochastic processes and random fields; time series models and spatio-temporal analysis. | ||||||||||||||||||||||||||
| Prerequisites / Notice | Bachelor level mathematics: analysis, linear algebra, statistics and probability theory, parameter estimation. Basic knowledge of multivariate statistics and machine learning is recommended. | ||||||||||||||||||||||||||
Competencies |
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