Geoscience Reference
In-Depth Information
Harvey, D. (1989) From models to Marx: note on the project to 're-model' contemporary
geography. In B. Macmillan (ed.),
Remodelling Geography
. Oxford: Basil Blackwell Ltd)
pp. 211-16.
Hobbs, N. T. and Hilborn, R. (2006) Alternatives to statistical hypothesis testing in ecology:
a guide to self teaching.
Ecological Applications
, 16, 5-19.
Humphreys, P. (1995/96) Computational empiricism.
Foundations of Science
, 1, 119-30.
Irwin, E. G. and Geoghegan, J. (2001) Theory, data, methods: developing spatially explicit
economic models of land use change.
Agriculture, Ecosystems and Environment
, 85,
7-23.
Jenerette, G. D. and Wu, J. (2001) Analysis and simulation of land-use change in the central
Arizona-Phoenix region.
Landscape Ecology
, 16, 611-26.
Kleindorfer, G. B., O'Neill, L. and Ganeshan, R. (1998) Validation in simulation: various
positions in the philosophy of science.
Management Science
, 44, 1087-99.
Küppers, G. and Lenhard, J. (2005) Validation of simulation: patterns in the natural and
social sciences.
Journal of Artifi cial Societies and Social Simulation
, 8(4). http://jasss.soc.
surrey.ac.uk/8/4/3.html (accessed 18 March 2008).
Levin, S. A., Grenfell, B., Hastings, A. and Perelson, A. S. (1997) Mathematical and
computational challenges in population biology and ecosystems science.
Science
, 275,
334-43.
Levins, R. (1966) The strategy of model building in population biology.
American Scientist
,
54, 421-31.
Long, J. C. S. and Ewing, R. C. (2004) Yucca Mountain: earth-science issues at a geologic
repository for high-level nuclear waste.
Annual Review of Earth and Planetary Sciences
,
32, 363-401.
Mac Nally, R. (2000) Regression and model-building in conservation biology, biogeography
and ecology: the distinction between - and reconciliation of - 'predictive' and 'explanatory'
models.
Biodiversity and Conservation
, 9, 655-71.
Macfarlane, A. (2003) Underlying Yucca Mountain: the interplay of geology and policy in
nuclear waste disposal.
Social Studies of Science
, 33, 783-807.
Macmillan, B. (1989a) Modelling through: an afterword to Remodelling Geography. In
B. Macmillan (ed.),
Remodelling Geography
. Oxford: Basil Blackwell Ltd, pp. 291-
313.
Macmillan, B. (ed.) (1989b)
Remodelling Geography
. Oxford: Basil Blackwell Ltd.
Mayer, D. G. and Butler, D. G. (1993) Statistical validation.
Ecological Modelling
, 68, 21-31.
Medd, W. (2001) What is complexity science? Towards an ecology of 'ignorance'.
Emer-
gence
, 3, 43-60.
Millington, J. D. A., Perry, G. L. W. and Romero-Calcerrada, R. (2007) Regression tech-
niques for examining land use/cover change: a case study of a Mediterranean landscape.
Ecosystems
, 10, 562-78.
Morton, A. (1993) Mathematical models: questions of trustworthiness.
The British Journal
for the Philosophy of Science
, 44, 659-74.
Mulligan, M. and Wainwright, J. (2004) Modelling and model building. In J. Wainwright
and M. Mulligan (eds),
Environmental Modelling: Finding Simplicity in Complexity
.
Chichester: John Wiley & Sons, Ltd, pp. 7-68.
Oreskes, N. (1998) Evaluation (not validation) of quantitative models.
Environmental Health
Perspectives
, 106(Suppl. 6), 1453-60.
Oreskes, N. (2003) The role of quantitative models in science. In C. Canham, J. Cole, W.
Lauenroth (eds),
Models in Ecosystem Science
. Princeton, NJ: Princeton University Press,
pp. 13-32.
Oreskes, N. and Shrader-Frechette, K. and Belitz, K. (1994) Verifi cation, validation, and
confi rmation of numerical models in the earth sciences.
Science
, 263, 641-46.
O'Sullivan, D. (2004) Complexity science and human geography.
Transactions of the Insti-
tute of British Geographers
, 29, 282-95.