Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/90951
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAlberti, Gianmarco-
dc.date.accessioned2022-03-09T13:12:52Z-
dc.date.available2022-03-09T13:12:52Z-
dc.date.issued2019-10-04-
dc.identifier.citationAlberti, G. (2019). movecost: An R package for calculating accumulated slope-dependent anisotropic cost-surfaces and least-cost paths. SoftwareX, 10, 100331.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/90951-
dc.description.abstractCost-surface and least-cost path analyses are widely used tools to understand the ways in which movement relates and engages with the surrounding space. They are employed in research fields as diverse as the analysis of travel corridors, land accessibility, site locations, maritime pathways, animal seascape connectivity, transportation, search and rescue operations. This work describes the ‘movecost’ package, designed for the free R statistical environment, which provides the facility to produce, in a relatively straightforward way, various accumulated slope-dependent cost surfaces and least-cost outputs from different models of movement across the terrain. The package motivation and significance are described, and the main software characteristics are outlined by means of an illustrative example.en_GB
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectGeographic information systemsen_GB
dc.subjectR (Computer program language)en_GB
dc.titlemovecost : sn R package for calculating accumulated slope-dependent anisotropic cost-surfaces and least-cost pathsen_GB
dc.typearticleen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1016/j.softx.2019.100331-
dc.publication.titleSoftwareXen_GB
Appears in Collections:Scholarly Works - FacSoWCri

Files in This Item:
File Description SizeFormat 
Alberti_SoftwareX_2019.pdf1.01 MBAdobe PDFView/Open


Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.