A Practical Guide to Ecological Modelling [electronic resource] : Using R as a Simulation Platform / edited by Karline Soetaert, Peter M.J. Herman.

Call Number
577
Title
A Practical Guide to Ecological Modelling Using R as a Simulation Platform / edited by Karline Soetaert, Peter M.J. Herman.
Physical Description
XV, 372 p. online resource.
Contents
Model Formulation -- Spatial Components and Transport -- Parameterization -- Model Solution – Analytical Methods -- Model Solution –Numerical Methods -- Stability and Steady-State -- Multiple Time Scales and Equilibrium Processes -- Discrete Time Models -- Dynamic Programming -- Testing and Validating the Model -- Further Reading and References.
Summary
Many texts on ecological models jump to describing either particular relations or computational results, without treating in detail the conceptual and mathematical basis of many steps in modelling: why set up models, what are basic conceptual models, how do conservation laws come in, how are models solved, what are steady states. This book is intended to bridge this gap. It is intended as an introductory text for graduate and post-graduate students, but also as a help for experienced ecologists who want to make more of their data by modelling. It contains many examples, all worked out in the open-source package R, providing the reader the opportunity to practice all methods and get hands-on experience. Audience: This book will be of interest to advanced undergraduate and graduate students in ecology, biology, geology, bio-engineering, and to some extent students from physics and chemistry.
Added Author
Soetaert, Karline. editor.
Herman, Peter M.J. editor.
SpringerLink (Online service)
Subject
LIFE SCIENCES.
Geobiology.
COMPUTER SIMULATION.
ECOLOGY.
Applied ecology.
Life Sciences.
Applied Ecology.
Ecology.
Simulation and Modeling.
Environmental Monitoring/Analysis.
Biogeosciences.
Multimedia
  • Libraries with this item
Total Ratings: 0
No records found to display.
 
 
 
03008nam a22005415i 4500
001
 
 
vtls001568153
003
 
 
VRT
005
 
 
20170831181700.0
007
 
 
cr nn 008mamaa
008
 
 
170831s2009    ne |    s    |||| 0|eng d
020
$a 9781402086243 $9 978-1-4020-8624-3
024
7
$a 10.1007/978-1-4020-8624-3 $2 doi
035
$a (DE-He213)978-1-4020-8624-3
039
9
$a 201708311817 $b santha $y 201708311314 $z vjs2012
050
4
$a QH541.29
072
7
$a RNC $2 bicssc
072
7
$a SCI020000 $2 bisacsh
072
7
$a NAT011000 $2 bisacsh
082
0
4
$a 577 $2 23
245
1
2
$a A Practical Guide to Ecological Modelling $h [electronic resource] : $b Using R as a Simulation Platform / $c edited by Karline Soetaert, Peter M.J. Herman.
264
1
$a Dordrecht : $b Springer Netherlands, $c 2009.
300
$a XV, 372 p. $b online resource.
336
$a text $b txt $2 rdacontent
337
$a computer $b c $2 rdamedia
338
$a online resource $b cr $2 rdacarrier
347
$a text file $b PDF $2 rda
505
0
$a Model Formulation -- Spatial Components and Transport -- Parameterization -- Model Solution – Analytical Methods -- Model Solution –Numerical Methods -- Stability and Steady-State -- Multiple Time Scales and Equilibrium Processes -- Discrete Time Models -- Dynamic Programming -- Testing and Validating the Model -- Further Reading and References.
520
$a Many texts on ecological models jump to describing either particular relations or computational results, without treating in detail the conceptual and mathematical basis of many steps in modelling: why set up models, what are basic conceptual models, how do conservation laws come in, how are models solved, what are steady states. This book is intended to bridge this gap. It is intended as an introductory text for graduate and post-graduate students, but also as a help for experienced ecologists who want to make more of their data by modelling. It contains many examples, all worked out in the open-source package R, providing the reader the opportunity to practice all methods and get hands-on experience. Audience: This book will be of interest to advanced undergraduate and graduate students in ecology, biology, geology, bio-engineering, and to some extent students from physics and chemistry.
650
0
$a LIFE SCIENCES.
650
0
$a Geobiology.
650
0
$a COMPUTER SIMULATION.
650
0
$a ECOLOGY.
650
0
$a Applied ecology.
650
1
4
$a Life Sciences.
650
2
4
$a Applied Ecology.
650
2
4
$a Ecology.
650
2
4
$a Simulation and Modeling.
650
2
4
$a Environmental Monitoring/Analysis.
650
2
4
$a Biogeosciences.
700
1
$a Soetaert, Karline. $e editor.
700
1
$a Herman, Peter M.J. $e editor.
710
2
$a SpringerLink (Online service)
773
0
$t Springer eBooks
776
0
8
$i Printed edition: $z 9781402086236
856
4
0
$u http://dx.doi.org/10.1007/978-1-4020-8624-3
912
$a ZDB-2-SBL
950
$a Biomedical and Life Sciences (Springer-11642)
999
$a VIRTUA               
No Reviews to Display
Summary
Many texts on ecological models jump to describing either particular relations or computational results, without treating in detail the conceptual and mathematical basis of many steps in modelling: why set up models, what are basic conceptual models, how do conservation laws come in, how are models solved, what are steady states. This book is intended to bridge this gap. It is intended as an introductory text for graduate and post-graduate students, but also as a help for experienced ecologists who want to make more of their data by modelling. It contains many examples, all worked out in the open-source package R, providing the reader the opportunity to practice all methods and get hands-on experience. Audience: This book will be of interest to advanced undergraduate and graduate students in ecology, biology, geology, bio-engineering, and to some extent students from physics and chemistry.
Contents
Model Formulation -- Spatial Components and Transport -- Parameterization -- Model Solution – Analytical Methods -- Model Solution –Numerical Methods -- Stability and Steady-State -- Multiple Time Scales and Equilibrium Processes -- Discrete Time Models -- Dynamic Programming -- Testing and Validating the Model -- Further Reading and References.
Subject
LIFE SCIENCES.
Geobiology.
COMPUTER SIMULATION.
ECOLOGY.
Applied ecology.
Life Sciences.
Applied Ecology.
Ecology.
Simulation and Modeling.
Environmental Monitoring/Analysis.
Biogeosciences.
Multimedia