THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2020/2021

Information in the Degree Programme Tables may still be subject to change in response to Covid-19

University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
DRPS : Course Catalogue : School of History, Classics and Archaeology : Archaeology

Undergraduate Course: GIS for Archaeologists (ARCA10086)

Course Outline
SchoolSchool of History, Classics and Archaeology CollegeCollege of Arts, Humanities and Social Sciences
Credit level (Normal year taken)SCQF Level 10 (Year 3 Undergraduate) AvailabilityAvailable to all students
SCQF Credits20 ECTS Credits10
SummaryThis course introduces students to the use of Geographical Information Systems in archaeology. It will provide a global perspective of current applications covering data acquisition, spatial analysis and cartographic visualization. Students will become proficient users of the open source platforms Quantum GIS and R while developing critical skills on the use of GIS within archaeological projects.
Course description The course will explore the key theoretical, methodological and technical aspects of archaeological GIS. Through a mixture of lectures, practicals, in-class discussions, and projects the students will learn to identify and interpret the spatial patterns found in the archaeological record using a multiscale perspective (from sites to regions). They will also become aware of the potentials and limitations of GIS specifically linked to the study of the past, including topics such as time and uncertainty.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements Archaeology 2A and 2B, or Honours entry to degrees in Classics, or equivalent.
Information for Visiting Students
Pre-requisitesVisiting students should have at least 3 Archaeology courses at grade B or above (or be predicted to obtain this). We will only consider University/College level courses. Enrolments for this course are managed by the CAHSS Visiting Student Office, in line with the quotas allocated by the department. All enquiries to enrol must be made through the CAHSS Visiting Student Office. It is not appropriate for students to contact the department directly to request additional spaces.
High Demand Course? Yes
Course Delivery Information
Academic year 2020/21, Available to all students (SV1) Quota:  0
Course Start Semester 1
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 200 ( Lecture Hours 12, Supervised Practical/Workshop/Studio Hours 10, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 174 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Coursework:
Case Study Report (25%)
Students will replicate the GIS results of a published research paper and give feedback on the method to the wider group.
2000 word Short Essay (25%)

GIS research project (50%)
Feedback Students will receive verbal feedback during each practical and written feedback for the assessments following standard Learn procedure. They will also have the opportunity to discuss that feedback further with the Course Organiser during his published office hours or by appointment.
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. demonstrate the ability to create and manage a GIS project integrating archaeological and geographical data;
  2. demonstrate the ability to understand and critically analyse current applications of GIS in archaeology;
  3. demonstrate the ability to apply a wide range of methods to identify spatial patterns in archaeological data;
  4. demonstrate critical understanding of the issues surrounding the investigation, interpretation and display of spatial dynamics and their links to social behavior;
  5. demonstrate knowledge on the uses of GIS within wider archaeological contexts.
Reading List
Bevan, A. (2012). Spatial methods for analysing large-scale artefact inventories. Antiquity: A Quarterly Review of Archaeology, 86 (332), 492-506.

Bevan, A., & Lake, M. (2013). Computational approaches to archaeological spaces (Vol. 60). Left Coast Press.

Conolly, J., & Lake, M. (2006). Geographical information systems in archaeology. Cambridge University Press.

Güimil-Fariña, A., & Parcero-Oubiña, C. (2015). 'Dotting the joins': a non-reconstructive use of Least Cost Paths to approach ancient roads. The case of the Roman roads in the NW Iberian Peninsula. Journal of Archaeological Science, 54, 31-44.

Llobera, M. (2001). Building past landscape perception with GIS: Understanding topographic prominence. Journal of Archaeological Science, 28 (9), 1005-1014.

Llobera, M. (2003). Extending GIS-based visual analysis: the concept of visualscapes. International Journal of Geographical Information Science, 17 (1), 25-48.

Llobera, M., Fábrega-Álvarez, P., & Parcero-Oubiña, C. (2011). Order in movement: a GIS approach to accessibility. Journal of Archaeological Science,
38 (4), 843-851.

McKeague, P., Corns, A., & Shaw, R. (2012). Developing a spatial data infrastructure for archaeological and built heritage. International Journal of Spatial Data Infrastructures Research, 7, 38-65.

Ullah, I. I. T. (2011). A GIS method for assessing the zone of human-environmental impact around archaeological sites: a test case from the Late Neolithic of Wadi Ziqlâb, Jordan. Journal of Archaeological Science, 38 (3), 623-632.

Wheatley, D. (1995). Cumulative viewshed analysis: a GIS-based method for investigating intervisibility, and its archaeological application. Archaeology and GIS: A European Perspective. London: Routledge, 171, 86.

Yubero-Gómez, M., Rubio-Campillo, X., López-Cachero, F. J., & Esteve-Gràcia, X. (2015). Mapping changes in late prehistoric landscapes: a case study in the Northeastern Iberian Peninsula. Journal of Anthropological Archaeology, 40, 123-134.
Additional Information
Graduate Attributes and Skills On successful completion of the course, students should be able to:
- gather, integrate and critically assess relevant information
- extract key elements and meanings from complex data sets
- answer a research question by developing a reasoned argument based on quantitative analysis
- present their ideas and analyses in a coherent fashion
KeywordsNot entered
Contacts
Course organiserDr Rebecca Bennett
Tel:
Email: rebecca.bennett@ed.ac.uk
Course secretaryMiss Katy Robinson
Tel: (0131 6)50 3780
Email: krobins3@ed.ac.uk
Navigation
Help & Information
Home
Introduction
Glossary
Search DPTs and Courses
Regulations
Regulations
Degree Programmes
Introduction
Browse DPTs
Courses
Introduction
Humanities and Social Science
Science and Engineering
Medicine and Veterinary Medicine
Other Information
Combined Course Timetable
Prospectuses
Important Information