More data has been generated in the last 2 years than over whole history of humanity prior to this. Of this data, 80% has spatial content. This module is about understanding properties of spatial data, whether derived from the map, an archive or the field or from space. The module will explore how these data are represented in computer systems and how, through spatial integration, new forms of information may be derived. There will be a focus on major sources of spatial data (topographic, environmental, and socio-economic) and their properties, major forms of analyses based on spatial relationships, and on effective communication of spatial data through adherence to principles of map design.
Students will develop an understanding of what makes spatial data special; this will be taught through exposure to data from a variety of primary, secondary, contemporary and historic data across the breadth of the geographic discipline. The module will introduce common forms of spatial analysis and will provide an understanding of which to use under given the situations. Students will learn the principles of map design and effective cartographic communication, as well as gaining practical experience of critiquing digital outputs. Finally, the module will offer students significant 'hands-on' experience of using state-of-the-art GIS software to capture, integrate, analyse and present geographic information.