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The estimated precision parameters of the MATERN2D model at various spatial scales for dataset X4

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/evcWx9&rft.title=The estimated precision parameters of the MATERN2D model at various spatial scales for dataset X4&rft.identifier=10378.3/8085/1018.15717&rft.publisher=Queensland University of Technology&rft.description=The dataset was gathered to investigate 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 cases in dataset X4 were generated from an inhomogeneous Thomas process with parameters and and a simple trend function for the intensity of parent points given by , on the unit square. The cases were then superimposed with controls generated from an inhomogeneous Poisson process with trend function . The average intensity of the cases and the controls was 648 points per unit square.Presented are the estimated precision parameters of the MATERN2D model at various spatial scales for dataset X4.&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=Spatial&rft_subject=Ecology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=Science policy &rft_subject=Precision &rft_subject=Earth and Environmental Sciences &rft_subject=Scales&rft_subject=Matern2d&rft.type=dataset&rft.language=English Access the data
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Creative Commons Attribution 3.0
http://creativecommons.org/licenses/by/3.0/au/

© 2013 Kang et al.

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Postal Address:
Su Yun Kang

http://eprints.qut.edu.au/65840/

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The dataset was gathered to investigate 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 cases in dataset X4 were generated from an inhomogeneous Thomas process with parameters and and a simple trend function for the intensity of parent points given by , on the unit square. The cases were then superimposed with controls generated from an inhomogeneous Poisson process with trend function . The average intensity of the cases and the controls was 648 points per unit square.

Presented are the estimated precision parameters of the MATERN2D model at various spatial scales for dataset X4.

Data time period: 2013 to 30 09 2013

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153.02501,-27.47641

153.025013,-27.476409

Subjects
Biological Sciences | Earth and Environmental Sciences | Ecology | Matern2d | Precision | Scales | Science policy | Spatial |

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