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Modelling landscape dynamics = determinism, stochasticity and complexity /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modelling landscape dynamics/ by Fivos Papadimitriou.
Reminder of title:	determinism, stochasticity and complexity /
Author:	Papadimitriou, Fivos.
Published:	Wiesbaden :Springer Fachmedien Wiesbaden : : 2023.,
Description:	xii, 136 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Dynamical Systems Modelling of Landscape Transformations -- Modelling Nonlinear and Complex Landscape Dynamics -- Landscape Stability, Instability and Civilization Collapse -- Markov Models of Landscape Dynamics -- Stochastic Landscape Simulation -- Stochastic Models of Complex Landscape Dynamics -- Modelling Landscape Sustainability -- Modelling Landscape Resilience -- Complexity, Non-Locality and Riddledness in Landscape Dynamics.
Contained By:	Springer Nature eBook
Subject:	Landscape assessment - Mathematical models. -
Online resource:	https://doi.org/10.1007/978-3-658-42496-1
ISBN:	9783658424961

Modelling landscape dynamics = determinism, stochasticity and complexity /
Papadimitriou, Fivos.

Modelling landscape dynamicsdeterminism, stochasticity and complexity /[electronic resource] :by Fivos Papadimitriou. - Wiesbaden :Springer Fachmedien Wiesbaden :2023. - xii, 136 p. :ill. (some col.), digital ;24 cm. - RaumFragen: Stadt - Region - Landschaft,2625-7009. - RaumFragen: Stadt - Region - Landschaft..

Dynamical Systems Modelling of Landscape Transformations -- Modelling Nonlinear and Complex Landscape Dynamics -- Landscape Stability, Instability and Civilization Collapse -- Markov Models of Landscape Dynamics -- Stochastic Landscape Simulation -- Stochastic Models of Complex Landscape Dynamics -- Modelling Landscape Sustainability -- Modelling Landscape Resilience -- Complexity, Non-Locality and Riddledness in Landscape Dynamics.

This book offers a comprehensive exposition of the mathematical methods that can be used to model landscape dynamics. It is systematically shown how mathematical models of progressively higher complexity can be derived from ordinary landscape maps and related data in ways that enable researchers to predict future landscape transformations and to assess landscape stability, sustainability and resilience. These models are deterministic (i.e. linear or non-linear systems of differential equations), stochastic (i.e. Markovian), or combined deterministic-and-stochastic (using stochastic differential equations), whereas topics and challenging problems related to complexity (spatial randomness, chaotic behaviors, riddled systems etc) are also examined in the book. The author Dr. Dr. Fivos Papadimitriou is at the University of Tübingen and he is the author of "Spatial Entropy and Landscape Analysis" (Springer VS) and "Spatial Complexity: Theory, Mathematical Methods and Applications" (Springer)

ISBN: 9783658424961

Standard No.: 10.1007/978-3-658-42496-1doiSubjects--Topical Terms:

3756653
Landscape assessment
--Mathematical models.

LC Class. No.: GF90

Dewey Class. No.: 304.20151

Modelling landscape dynamics = determinism, stochasticity and complexity /
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245 1 0 $a Modelling landscape dynamics $h [electronic resource] : $b determinism, stochasticity and complexity / $c by Fivos Papadimitriou.
260 $a Wiesbaden : $b Springer Fachmedien Wiesbaden : $b Imprint: Springer VS, $c 2023.
300 $a xii, 136 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a RaumFragen: Stadt - Region - Landschaft, $x 2625-7009
505 0 $a Dynamical Systems Modelling of Landscape Transformations -- Modelling Nonlinear and Complex Landscape Dynamics -- Landscape Stability, Instability and Civilization Collapse -- Markov Models of Landscape Dynamics -- Stochastic Landscape Simulation -- Stochastic Models of Complex Landscape Dynamics -- Modelling Landscape Sustainability -- Modelling Landscape Resilience -- Complexity, Non-Locality and Riddledness in Landscape Dynamics.
520 $a This book offers a comprehensive exposition of the mathematical methods that can be used to model landscape dynamics. It is systematically shown how mathematical models of progressively higher complexity can be derived from ordinary landscape maps and related data in ways that enable researchers to predict future landscape transformations and to assess landscape stability, sustainability and resilience. These models are deterministic (i.e. linear or non-linear systems of differential equations), stochastic (i.e. Markovian), or combined deterministic-and-stochastic (using stochastic differential equations), whereas topics and challenging problems related to complexity (spatial randomness, chaotic behaviors, riddled systems etc) are also examined in the book. The author Dr. Dr. Fivos Papadimitriou is at the University of Tübingen and he is the author of "Spatial Entropy and Landscape Analysis" (Springer VS) and "Spatial Complexity: Theory, Mathematical Methods and Applications" (Springer)
650 0 $a Landscape assessment $x Mathematical models. $3 3756653
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