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The Impact of spatial scales and spatial smoothing on the outcome of Bayesian Spatial Model: summary of results for fitting four models at various spatial scales for various spatial patterns

Queensland University of Technology
Associate Professor James McGree (Aggregated by) Distinguished Professor Kerrie Mengersen (Aggregated by) Su Yun Kang (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://goo.gl/g4L6nd&rft.title=The Impact of spatial scales and spatial smoothing on the outcome of Bayesian Spatial Model: summary of results for fitting four models at various spatial scales for various spatial patterns&rft.identifier=10378.3/8085/1018.15720&rft.publisher=Queensland University of Technology&rft.description=An investigation was completed to assess the impact of changes in spatial scale on model outcome for a set of spatial structures and to evaluate the performance of various Bayesian spatial smoothness priors for spatial dependence, namely an intrinsic Gaussian Markov random field (IGMRF), a second-order random walk (RW2D) on a lattice, and a Gaussian field with Matérn correlation function.The dataset presents a summary of results for fitting four models at various spatial scales for various patterns. &rft.creator=Associate Professor James McGree&rft.creator=Associate Professor James McGree&rft.creator=Distinguished Professor Kerrie Mengersen&rft.creator=Su Yun Kang&rft.date=2015&rft.coverage=153.025013,-27.476409&rft_rights=© 2013 Kang et al.&rft_rights=Creative Commons Attribution 3.0 http://creativecommons.org/licenses/by/3.0/au/&rft_subject=Markov models&rft_subject=Spatial and landscape ecology &rft_subject=MATHEMATICAL SCIENCES&rft_subject=Disease ecology &rft_subject=Simulation and modelling &rft_subject=BIOLOGICAL SCIENCES&rft_subject=Spatial distribution &rft_subject=Bayes theorem&rft_subject=Random walk &rft_subject=Biogeography &rft.type=dataset&rft.language=English Access the data
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CC-BY

Creative Commons Attribution 3.0
http://creativecommons.org/licenses/by/3.0/au/

© 2013 Kang et al.

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Contact Information

Postal Address:
Distinguished Professor Kerrie Mengersen

k.mengersen@qut.edu.au

Full description

An investigation was completed to assess the impact of changes in spatial scale on model outcome for a set of spatial structures and to evaluate the performance of various Bayesian spatial smoothness priors for spatial dependence, namely an intrinsic Gaussian Markov random field (IGMRF), a second-order random walk (RW2D) on a lattice, and a Gaussian field with Matérn correlation function.

The dataset presents a summary of results for fitting four models at various spatial scales for various patterns.

Data time period: 2013 to 30 09 2013

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153.02501,-27.47641

153.025013,-27.476409

Subjects
Biological Sciences | Bayes theorem | Biogeography | Disease ecology | Mathematical Sciences | Markov models | Random walk | Simulation and modelling | Spatial and landscape ecology | Spatial distribution |

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  • Local : 10378.3/8085/1018.15720
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