Spatial Statistics: Applications

Spatial Statistics: Applications          

Course Description

Nowadays spatial statistics become an important branch of statistics that used to explore and analysis observed data. Techniques of spatial analysis are involved and applied in various fields such as geography, spatial epidemiology and etc.

This course aims to consider topics in spatial statistics and providing necessary background to investigate geographical data. The course will focus on geostatistical computing methods that highly related to spatial data analysis. As software application, R programming language will be involved to analysis spatial data. Hence part of the covered topics in the course will contain an introduction to various R packages for the analysis of spatial data. This will include data import/export, data management and visualization, and other necessary R tutorial that serve the course. Below the main subjects that will be covered by the course. Moreover, ArcGIS is also going to be used and focusing on the spatial analyst ToolBox. It worth to mentioned that each theoretical lesson will have two hours of practical lesson, and will involve 3 – 4 hours as a workload.

Lectures and Materials

References & Textbooks

The most useful textbooks on spatial data analysis with R and ArcGIS are: