Python with its easy to learn syntax, efficient high-level data structures and extensive standard libraries has becomes a major scientific programming language not only serving as a command-line data exploration environment but also for linking multiple software, tools and databases together to allow for more complex data manipulation and analys...

Spatial data have been increasingly used in various applications to under spatially explicit problems, such as changes in real estate market, urban segregation and inequities in access to public services (e.g. public transport and public health) and so on. Desktop mapping is a straightforward way and powerful tool to explore spatial phenomena....

As a powerful open-source tool for statistical analysis, R has been increasingly utilised in higher education, scientific research and practice. The purpose of this course is to introduce basic knowledge of R, such as loading data into R, performing basic statistical techniques and visualising data. By the end of the course, you will be able to...

Network analysis is a particularly useful class of analysis, which can be performed with a Geographic Information System (GIS). Network analysis allows us to analyse problems which are connected to the transportation of goods or people across a network. Using these methods we can consider questions such as: What is the shortest route between tw...