This module will teach the essentials of statistical data analysis, GPS, GIS and Remote Sensing. The main aim is to enable the student to be proficient in the statistical analysis of research data sets and the creation of digital maps by the familiarisation of basic GIS techniques. This will include fundamental knowledge and understanding of the analysis of data sets through the application of descriptive statistics (measures of central tendency, variability and skewness), inferential statistics (Student’s t test, analysis of variance, Chi-Square test, correlation) and multi-variate statistics (e.g. linear regression). Simple spatial analysis is considered towards the end of the module to educate students to the potential analyses suitable for research projects.
Learning Outcomes
By the end of the module, students should be able to do the following:
Understand the theory underpinning selected statistical methods and tests.
Conduct a selection of statistical tests by hand and by computer program.
Interpret correctly the results of statistical analysis.
Explain the basic principles and theory of GPS, GIS and Remote Sensing.
Udentify where and how to access spatial data sources.
Use ArcGIS package to create maps and perform simple spatial analyses.