Dear all, We are excited to announce our upcoming online course on Spatial Statistics with R, scheduled for March 11-15, 2024. This course is designed to provide participants with a comprehensive understanding of spatial statistical methods, emphasizing spatial sampling, point pattern analysis, geostatistical analysis, and machine learning techniques applied to spatial variables. Course Overview: The program will cover essential topics such as spatial data types, spatial dependence analysis, and handling large spatial datasets. Participants will gain hands-on experience with spatial statistical methods using R and various R spatial packages. The course is tailored for higher degree research students and early career researchers working in the fields of biology and ecology or anyone interested in spatial data and statistical methods. Learning Outcomes: Understand different spatial statistical data types Gain insights into spatial dependence and its role in analyzing spatial data Acquire hands-on experience with spatial statistical methods and R software Tackle challenges associated with big spatial datasets Session Details: Daily online meetings from 15:00-18:00 CET Offline communication through Slack Course Outline: Day 1: Introduction to spatial data and statistical data types Day 2: Point Pattern data and density functions Day 3: Geostatistical data and variogram modeling Day 4: Machine Learning methods applied to spatial data Day 5: Handling Big spatial datasets Prerequisites: Participants are expected to have some familiarity with R, the R package sf, and the tidyverse. Basic knowledge of statistics, linear regression, standard errors, confidence intervals, and prediction will be beneficial. To register or obtain more information, please visit: [ https://www.physalia-courses.org/courses-workshops/spatial-statistics/ ]( https://www.physalia-courses.org/courses-workshops/spatial-statistics/ ) Best regards, Carlo [[alternative HTML version deleted]]
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