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Spatial Statistics and Analysis
This lecture introduces the fundamental concepts of spatial statistics and analysis, focusing on the spatial organization of natural phenomena. Topics include spatial variability, interpolation techniques, uncertainty assessment, and hands-on exercises in spatial analysis and statistics. The course covers spatial autocorrelation, geostatistics, point processes, and land cover data analysis. Students will learn to identify spatial stakes in environmental issues, implement modeling strategies, and propose solutions. Grading includes intermediate exams and a final exam, with practical exercises to reinforce learning. The instructor emphasizes the importance of spatial dependence in environmental engineering.