Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Data-based mechanistic modelling of environmental, ecological, economic and engineering systems.
AU - Young, Peter C.
PY - 1998/4
Y1 - 1998/4
N2 - Mathematical modelling in the natural and engineering sciences is most often dominated by a philosophy of deterministic reductionism. Moreover, many of the ‘simulation' models that emerge from this approach to modelling are very large and so difficult to identify, estimate (i.e. calibrate) and validate in rigorous statistical terms. In this situation, it seems sensible to consider alternative modelling strategies which overtly acknowledge these data-based modelling difficulties and address the very real problems of calibration and validation associated with the dynamic modelling of complex systems from time series data. This paper outlines a Data-Based Mechanistic (DBM) modelling philosophy which attempts to address some of these problems and illustrates its wide-ranging practical utility through seven examples in areas ranging from the natural environment, through ecology and macro-economics to engineering.
AB - Mathematical modelling in the natural and engineering sciences is most often dominated by a philosophy of deterministic reductionism. Moreover, many of the ‘simulation' models that emerge from this approach to modelling are very large and so difficult to identify, estimate (i.e. calibrate) and validate in rigorous statistical terms. In this situation, it seems sensible to consider alternative modelling strategies which overtly acknowledge these data-based modelling difficulties and address the very real problems of calibration and validation associated with the dynamic modelling of complex systems from time series data. This paper outlines a Data-Based Mechanistic (DBM) modelling philosophy which attempts to address some of these problems and illustrates its wide-ranging practical utility through seven examples in areas ranging from the natural environment, through ecology and macro-economics to engineering.
KW - Data-based mechanistic modelling
KW - Natural environment
KW - Ecology
KW - Macro-economics
KW - Engineering
U2 - 10.1016/S1364-8152(98)00011-5
DO - 10.1016/S1364-8152(98)00011-5
M3 - Journal article
VL - 13
SP - 105
EP - 122
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
SN - 1364-8152
IS - 2
ER -