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

Jan Baetens (UGent) and Bernard De Baets (UGent)
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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.
Keywords
UNCERTAINTY, SIMULATION

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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.
@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},
}

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