Online course on Spatial Statistics with R

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