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Smith & Smith: Environmental Modelling

Chapter 02

Web link 2.1: boxes containing additional information on some specialist modelling techniques

Using STATISTICAL FITTING to develop a model of soil carbon change (PDF 68 KB)
Using a NEURAL NETWORK to develop a model of stream flow rate (PDF 56 KB)
Using BAYESIAN STATISTICS to estimate dolphin population size (PDF 59 KB)
Using PARAMETER OPTIMISATION to fit model parameters for a model of crop nitrogen uptake (PDF 45 KB)
Using CELLULAR AUTOMATA to develop a model of microbial colonization of the rhizosphere (PDF 48 KB)
Using SIMULATED ANNEALING to improve a model design (PDF 39 KB)
Using EVOLUTIONARY ALGORITHMS to develop an agent-based model (PDF 31 KB)

Web link 2.2: http://office.microsoft.com/en-us/FX010858001033.aspx
Microsoft Excel home page

Web link 2.3: http://lotus.com/products/product2.nsf/wdocs/123fact
IBM Lotus 1-2-3 factsheet

Web link 2.4: http://www-ra.informatik.uni-tuebingen.de/SNNS/
Neural network software package

Web link 2.5: http://www.mathworks.com/products/neuralnet/
MathWorks neural network toolbox

Web link 2.6: http://www.nd.com/
NeuroSolutions 4.3—neural network modelling software

Web link 2.7: http://www.mrc-bsu.cam.ac.uk/bugs/welcome.shtml
WinBugs

Web link 2.8: http://www.nag.co.uk/
NAG routines for parameter optimisation

Web link 2.9: http://www.simlab.de/
SimLab home page—parameter optimisation software

Web link 2.10: http://www.qtsoftware.de/dvf/index2.html
Compaq Visual Fortran home page

Web link 2.11: http://msdn.microsoft.com/visualc/
Microsoft Visual C++ Developer Center

Web link 2.12: Soil C Stocks in EXCEL.xls (EXCEL 45 KB)
Computer model of carbon stocks written in Microsoft Excel

Web link 2.13: http://www.gnome.org/projects/gnumeric/
Gnome Gnumeric spreadsheet home page

Web link 2.14: http://www.dbase.com/
dBase home page

Web link 2.15: http://office.microsoft.com/en-us/FX010857911033.aspx
Microsoft Access home page

Web link 2.16: http://www.modelkinetix.com/modelmaker/
ModelKinetix ModelMaker introduction

Web link 2.17: http://www.simulistics.com/
SIMILE home page

Web link 2.18: http://www.mathworks.com/
MathWorks home page

Weblink 2.19: Updated information about specialist modelling software

Unified Modeling Language

Many would say that the Unified Modeling Language (UML) has become the standard for building Object-Oriented software. UML is a graphical language for visualizing, specifying, constructing, and documenting the artifacts of a software-intensive system. It offers a standard way to write a system's blueprints. It is a non-proprietary, object modeling and specification language used in software engineering that includes a standardized graphical notation that may be used to create an abstract model of a system, sometimes referred to as the UML model.

Websites referring to UML include:
http://en.wikipedia.org/wiki/Unified_Modeling_Language
http://www.sparxsystems.com.au/uml-tutorial.html
http://www.uml.org/
http://pigseye.kennesaw.edu/~dbraun/csis4650/A&D/UML_tutorial/index.htm
http://www.omg.org/technology/documents/formal/uml.htm
http://www.cragsystems.co.uk/ITMUML/index.htm
http://uml.tutorials.trireme.com/

SIMILE

Simulistics develops and distributes Simile, modelling and simulation software for complex dynamic systems in the earth, environmental and life sciences.

http://www.simulistics.com/
http://www.frp.uk.com/project_dissemination_details.cfm/projectID/7539/projectCode/R7635/disID/2314

SB ModelMaker

http://www.liv.ac.uk/ctichem/modelrev.html

Web link 2.20: http://msdn.microsoft.com/vbasic/
Microsoft Visual Basic Developer Center

Web link 2.21: carbon_stocks_basic.zip (ZIP 2 KB)
Computer model of carbon stocks written in Visual Basic

Web link 2.22: carbon_stocks_fortran.zip (ZIP 169 KB)
Computer model of carbon stocks written in Compaq Visual Fortran

Web link 2.23: carbon_stocks_visualc++.zip (ZIP 224 KB)
Computer model of carbon stocks written in Visual C++

Web link 2.24: statistical fitting to derive a model of the changes in height of trees.xls (EXCEL 20 KB)
Use of statistical fitting procedures in Microsoft Excel to derive a mathematical model of the changes in height of trees with time after planting