Sources of uncertainty in a Cellular Automata for vegetation change

Research output: Book chapter/Published conference paperConference paper

10 Downloads (Pure)

Abstract

When farmland is abandoned pasture is rapidly taken over by woody vegetation. As tree dispersal depends on the presence of a seed source nearby and other local conditions, and can be measured in discrete annual time steps, a Cellular Automata (CA) is a natural fit for modelling this phenomenon. The model presented here is a stochastic CA, with a relaxed definition of neighbourhood. The aim is to acknowledge uncertainties in model outputs, while incorporating techniques for handling uncertainties in the analysis. The results show that it is possible to realistically model vegetation change using CA, acknowledging and incorporating uncertainty.
Original languageEnglish
Title of host publicationJoint Proceedings
Subtitle of host publicationCelebrating the past - Redefining the future
EditorsTony Moore
Place of PublicationNew Zealand
PublisherNew Zealand Institute of Surveyors
Pages159-163
Number of pages5
ISBN (Electronic)9780473247560
Publication statusPublished - 2013
EventSIRC NZ: GIS and Remote Sensing Research Conference - Dunedin, New Zealand, New Zealand
Duration: 28 Aug 201330 Aug 2013

Conference

ConferenceSIRC NZ: GIS and Remote Sensing Research Conference
CountryNew Zealand
Period28/08/1330/08/13

Fingerprint Dive into the research topics of 'Sources of uncertainty in a Cellular Automata for vegetation change'. Together they form a unique fingerprint.

Cite this