Ghent University Academic Bibliography

Advanced

A spatial sensitivity analysis of a spatially explicit model for myxomatosis in Belgium

Jan Baetens UGent and Bernard De Baets UGent (2016) Lecture Notes in Computer Science. 9863. p.91-100
abstract
Motivated by their ability to mimic complex biological and natural processes, many spatially explicit models (SEMs) have been proposed during the last two decades for simulating such processes. Yet, a sensitivity analysis (SA) of such models is typically not performed, or model sensitivity is only studied over time on the basis of aggregated quantities, due to the lack of an appropriate framework. Taking a SEM for myxomatosis among European rabbits in Belgium as a model SEM, we conduct a spatial SA and investigate to what extent the sensitivity of this model varies spatially and whether or not this should become common practice when developing a SEM.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
subject
keyword
UNCERTAINTY, SIMULATION
in
Lecture Notes in Computer Science
editor
Samira El Yacoubi, Jarosław Wąs and Stefania Bandini
volume
9863
pages
91 - 100
publisher
Springer
place of publication
Cham, Switzerland
conference name
12th International conference on Cellular Automata for Research and Industry (ACRI)
conference location
Fez, Morocco
conference start
2016-09-05
conference end
2016-09-08
Web of Science type
Proceedings Paper
Web of Science id
000387757800009
ISSN
0302-9743
1611-3349
ISBN
9783319443645
9783319443652
DOI
10.1007/978-3-319-44365-2_9
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
8553287
handle
http://hdl.handle.net/1854/LU-8553287
date created
2018-03-05 15:13:41
date last changed
2018-05-18 07:56:33
@inproceedings{8553287,
  abstract     = {Motivated by their ability to mimic complex biological and natural processes, many spatially explicit models (SEMs) have been proposed during the last two decades for simulating such processes. Yet, a sensitivity analysis (SA) of such models is typically not performed, or model sensitivity is only studied over time on the basis of aggregated quantities, due to the lack of an appropriate framework. Taking a SEM for myxomatosis among European rabbits in Belgium as a model SEM, we conduct a spatial SA and investigate to what extent the sensitivity of this model varies spatially and whether or not this should become common practice when developing a SEM.},
  author       = {Baetens, Jan and De Baets, Bernard},
  booktitle    = {Lecture Notes in Computer Science},
  editor       = {El Yacoubi, Samira and W\k{a}s, Jaros\unmatched{0142}aw and Bandini, Stefania},
  isbn         = {9783319443645},
  issn         = {0302-9743},
  keyword      = {UNCERTAINTY,SIMULATION},
  language     = {eng},
  location     = {Fez, Morocco},
  pages        = {91--100},
  publisher    = {Springer},
  title        = {A spatial sensitivity analysis of a spatially explicit model for myxomatosis in Belgium},
  url          = {http://dx.doi.org/10.1007/978-3-319-44365-2\_9},
  volume       = {9863},
  year         = {2016},
}

Chicago
Baetens, Jan, and Bernard De Baets. 2016. “A Spatial Sensitivity Analysis of a Spatially Explicit Model for Myxomatosis in Belgium.” In Lecture Notes in Computer Science, ed. Samira El Yacoubi, Jarosław Wąs, and Stefania Bandini, 9863:91–100. Cham, Switzerland: Springer.
APA
Baetens, Jan, & De Baets, B. (2016). A spatial sensitivity analysis of a spatially explicit model for myxomatosis in Belgium. In S. El Yacoubi, J. Wąs, & S. Bandini (Eds.), Lecture Notes in Computer Science (Vol. 9863, pp. 91–100). Presented at the 12th International conference on Cellular Automata for Research and Industry (ACRI), Cham, Switzerland: Springer.
Vancouver
1.
Baetens J, De Baets B. A spatial sensitivity analysis of a spatially explicit model for myxomatosis in Belgium. In: El Yacoubi S, Wąs J, Bandini S, editors. Lecture Notes in Computer Science. Cham, Switzerland: Springer; 2016. p. 91–100.
MLA
Baetens, Jan, and Bernard De Baets. “A Spatial Sensitivity Analysis of a Spatially Explicit Model for Myxomatosis in Belgium.” Lecture Notes in Computer Science. Ed. Samira El Yacoubi, Jarosław Wąs, & Stefania Bandini. Vol. 9863. Cham, Switzerland: Springer, 2016. 91–100. Print.