QGIS plugin to explore landscape connectivity through least-cost path networks and circuit theory
dc.contributor.advisor
Rubio-Campillo, Xavier
en
dc.contributor.author
Domingo Ribas, Guillem
en
dc.date.accessioned
2019-02-25T16:05:47Z
dc.date.available
2019-02-25T16:05:47Z
dc.date.issued
2018-08-09
dc.description.abstract
Archaeological studies usually make use of Least-Cost Path networks to study landscape mobility. This method is the most common approach to predict or reconstruct ancient routes, whose path is seldom known. The reconstruction of communication lines in the landscape through least-cost path is often criticised as it can only compute a single route between two points. Nevertheless, different approaches to landscape mobility may help to overcome this constraint. Other fields such as ecology, evolution and conservation planning have developed functional connectivity models, which have various advantages over least-cost path networks.
One of these explores circuit theory as well as random walk theory and its application in landscape connectivity in order to provide distinct possible paths. The current project involves the creation of a QGIS tool to work with both approaches and a comparison with a study case.
en
dc.identifier.uri
http://hdl.handle.net/1842/35488
dc.language.iso
en
dc.publisher
The University of Edinburgh
en
dc.subject
MSc Geographical Information Science
en
dc.subject
GIS
en
dc.subject
archaeology
en
dc.subject
landscape
en
dc.subject
landscape archaeology
en
dc.subject
least-cost path
en
dc.subject
circuit theory
en
dc.subject
movement
en
dc.subject
connectivity
en
dc.subject
QGIS
en
dc.subject
python
en
dc.title
QGIS plugin to explore landscape connectivity through least-cost path networks and circuit theory
en
dc.title.alternative
A QGIS plugin to explore landscape connectivity through least-cost path networks and circuit theory
en
dc.type
Thesis or Dissertation
en
dc.type.qualificationlevel
Masters
en
dc.type.qualificationname
MSc Master of Science
en
dcterms.accessRights
RESTRICTED ACCESS
en
Files
This item appears in the following Collection(s)