Environmental Engineering Reference
In-Depth Information
Pivard S, Demˇar D, Lecomte J, Debeljak M, Dˇeroski S (2008b) Characterizing the presence of
oilseed rape feral populations on field margins using machine learning. Ecol Modell
221:147-154
Plotnick RE, Gardner RH, O'Neill RV (1993) Lacunarity indexes as measures of landscape
texture. Landsc Ecol 8:201-211
Plotnick RE, Gardner RH, Hargrove WW, Prestegaard K, Perlmutter M (1996) Lacunarity
analysis: a general technique for the analysis of spatial patterns. Phys Rev E 53:5461-5468
Polovina J (1984) Model of a coral reef ecosystem I. The ECOPATH Model and its application to
French Frigate shoals. Coral Reefs 3:1-11
Power M (1993) The predictive validation of ecological and environmental models. Ecol Modell
68:33-50
Preston KL, Rotenberry JT, Redak RA, Allen MF (2008) Habitat shifts of endangered species
under altered climate conditions:
importance of biotic interactions. Glob Change Biol
14:2501-2515
Prigogine I, Stengers I (1984) Order out of chaos: man's new dialogue with nature. Bantam Books,
New York
Prusinkiewicz P (1987) Applications of L-systems to computer imagery. Lect Notes Comput Sci
291:534-548
Prusinkiewicz P, Lindenmayer A (1990) The algorithmic beauty of plants. Springer, New York,
http://algorithmicbotany.org/papers/abop/abop.pdf
PT DLR (2008) Social-ecological research framework concept 2007-2010, German Aerospace
Center, Project Management Agency (PT DLR) Environment, Culture, Sustainability, 53227
Bonn, 38 pp
Pullar D (2004) SimuMap: a computational system for spatial modelling. Environ Modell Softw
19(3):235-243
Pyke CR (2004) Habitat loss confounds climate change impacts. Front Ecol Environ 2:178-182
Pykh YA, Efremova SS (2000) Equilibrium, stability and chaotic behavior in Leslie matrix models
with different density-dependent birth and survival rates. Math Comput Simul 52:87-112
Quinlan JR (1986) Induction of decision trees. Mach Learn 1:81-106
Quinlan JR (1992) Learning with continuous classes. Proceedings of the 5th Australian joint
conference on Artificial Intelligence. World Scientific, Singapore, pp 343-348
Quinn GP, Keough MJ (2002) Experimental design and data analysis for biologists. Cambridge
University Press, Cambridge
R Development Core Team (2008) R: a language and environment for statistical computing.
R Foundation for Statistical Computing, Vienna, Austria, http://www.R-project.org
Radtke E, Straˇkraba M (1980) Self-optimization in a phytoplankton model. Ecol Modell
9:247-268
Raick C, Soetaert K, Gr´goire M (2006) Model complexity and performance: how far can we
simplify? Progr Oceanogr 70:27-57
Randin CF, Dirnbock T, Dullinger S, Zimmermann NE, Zappa M, Guisan A (2006) Are niche-
based species distribution models transferable in space? J Biogeogr 33:1689-1703
Rasmussen S, Karampurwala H, Vaiduangth F, Jensen KS, Hameroff S (1990) Computational
connectionism within neurons: a model of cytoskeletal automata subserving neural networks.
Physika 42D:428-449
Ratz A (1995) Long-term spatial pattern created by fire: a model oriented towards boreal forests.
Int J Wildland Fire 5:25-34
Reaka-Kudla ML (1997) The global biodiversity of coral reefs: a comparison with rain forests. In:
Reaka-Kudla ML, Wilson DE, Wilson EO (eds) Biodiversity II: understanding and protecting
our biological resources. Joseph Henry/National Academy Press, Washington, DC, pp 83-108
Rebolj D, Sturm PJ (1999) A GIS based component-oriented integrated system for estimation,
visualization and analysis of road traffic air pollution. Environ Modell Softw 14(6):531-539
Recknagel F, French M, Harkonen P, Yabunaka K (1997) Artificial neural network approach for
modelling and prediction of algal blooms. Ecol Modell 96:11-28
Search WWH ::




Custom Search