Spatial simulation : exploring pattern and process /

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: O'Sullivan, David, 1966-
Άλλοι συγγραφείς: Perry, George L. W.
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Chichester, West Sussex, UK : Wiley-Blackwell, 2013.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 05346nam a2200745 4500
001 ocn828334122
003 OCoLC
005 20170124071523.1
006 m o d
007 cr |||||||||||
008 130222s2013 enk ob 001 0 eng
010 |a  2013007573 
040 |a DLC  |b eng  |e rda  |e pn  |c DLC  |d DG1  |d CUS  |d N$T  |d IDEBK  |d YDXCP  |d YBM  |d CDX  |d COO  |d OCLCQ  |d EBLCP  |d DG1  |d GrThAP 
019 |a 856626063 
020 |a 9781118527078  |q (ePub) 
020 |a 1118527070  |q (ePub) 
020 |a 9781118554722  |q (MobiPocket) 
020 |a 1118554728  |q (MobiPocket) 
020 |a 9781118555071  |q (Adobe PDF) 
020 |a 1118555074  |q (Adobe PDF) 
020 |a 9781118527085  |q (electronic bk.) 
020 |a 1118527089  |q (electronic bk.) 
020 |a 1299804373  |q (ebk) 
020 |a 9781299804371  |q (ebk) 
020 |a 1119970806  |q (cloth) 
020 |a 9781119970804  |q (cloth) 
020 |a 9781119970798  |q (paper) 
020 |a 1119970792  |q (paper) 
020 |z 9781119970804  |q (cloth) 
029 1 |a CHBIS  |b 010027024 
029 1 |a CHVBK  |b 306229536 
029 1 |a DEBBG  |b BV041907378 
029 1 |a NZ1  |b 15351101 
029 1 |a DEBBG  |b BV041829144 
035 |a (OCoLC)828334122  |z (OCoLC)856626063 
037 |a 511688  |b MIL 
042 |a pcc 
050 0 0 |a QA402 
072 7 |a SCI  |x 064000  |2 bisacsh 
072 7 |a TEC  |x 029000  |2 bisacsh 
082 0 0 |a 003  |2 23 
049 |a MAIN 
100 1 |a O'Sullivan, David,  |d 1966- 
245 1 0 |a Spatial simulation :  |b exploring pattern and process /  |c David O'Sullivan, George L.W. Perry. 
264 1 |a Chichester, West Sussex, UK :  |b Wiley-Blackwell,  |c 2013. 
300 |a 1 online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record and CIP data provided by publisher. 
505 0 |a Chapter 1 Spatial Simulation Models: What? Why? How?; 1.1 What are simulation models?; 1.1.1 Conceptual models; 1.1.2 Physical models; 1.1.3 Mathematical models; 1.1.4 Empirical models; 1.1.5 Simulation models; 1.2 How do we use simulation models?; 1.2.1 Using models for prediction; 1.2.2 Models as guides to data collection; 1.2.3 Models as t̀ools to think with'; 1.3 Why do we use simulation models?; 1.3.1 When experimental science is difficult (or impossible). 
505 8 |a 1.3.2 Complexity and nonlinear dynamics 1.4 Why dynamic and spatial models?; 1.4.1 The strengths and weaknesses of highly general models; 1.4.2 From abstract to more realistic models: controlling the cost; Chapter 2 Pattern, Process and Scale; 2.1 Thinking about spatiotemporal patterns and processes; 2.1.1 What is a pattern?; 2.1.2 What is a process?; 2.1.3 Scale; 2.2 Using models to explore spatial patterns and processes; 2.2.1 Reciprocal links between pattern and process: a spatial model of forest structure; 2.2.2 Characterising patterns: first- and second-order structure. 
505 8 |a 2.2.3 Using null models to evaluate patterns 2.2.4.2.4 Density-based (first-order) null models; 2.2.5 Interaction-based (second-order) null models; 2.2.6 Inferring process from (spatio-temporal) pattern; 2.2.7 Making the virtual forest more realistic; 2.3 Conclusions; Chapter 3 Aggregation and Segregation; 3.1 Background and motivating examples; 3.1.1 Basics of (discrete spatial) model structure; 3.2 Local averaging; 3.2.1 Local averaging with noise; 3.3 Totalistic automata; 3.3.1 Majority rules; 3.3.2 Twisted majority annealing; 3.3.3 Life-like rules. 
505 8 |a 3.4 A more general framework: interacting particle systems3.4.1 The contact process; 3.4.2 Multiple contact processes; 3.4.3 Cyclic relationships between states: rock-scissors-paper; 3.4.4 Voter models; 3.4.5 Voter models with noise mutation; 3.5 Schelling models; 3.6 Spatial partitioning; 3.6.1 Iterative subdivision; 3.6.2 Voronoi tessellations; 3.7 Applying these ideas: more complicated models; 3.7.1 Pattern formation on animals' coats: reaction-diffusion models; 3.7.2 More complicated processes: spatial evolutionary game theory; 3.7.3 More realistic models: cellular urban models. 
505 8 |a Chapter 4 Random Walks and Mobile Entities4.1 Background and motivating examples; 4.2 The random walk; 4.2.1 Simple random walks; 4.2.2 Random walks with variable step lengths; 4.2.3 Correlated walks; 4.2.4 Bias and drift in random walks; 4.2.5 Ĺevy flights: walks with non-finite step length variance; 4.3 Walking for a reason: foraging and search; 4.3.1 Using clues: localised search; 4.3.2 The effect of the distribution of resources; 4.3.3 Foraging and random walks revisited; 4.4 Moving entities and landscape interaction; 4.5 Flocking: entity-entity interaction; 4.6 Applying the framework. 
650 0 |a Spatial data infrastructures  |x Mathematical models. 
650 0 |a Spatial analysis (Statistics) 
650 7 |a SCIENCE  |x System Theory.  |2 bisacsh 
650 7 |a TECHNOLOGY & ENGINEERING  |x Operations Research.  |2 bisacsh 
655 4 |a Electronic books. 
700 1 |a Perry, George L. W. 
776 0 8 |i Print version:  |a O'Sullivan, David, 1966-  |t Spatial simulation.  |d Chichester, West Sussex, UK : John Wiley & Sons Inc., 2013  |z 9781119970804  |w (DLC) 2012043887 
856 4 0 |u https://doi.org/10.1002/9781118527085  |z Full Text via HEAL-Link 
994 |a 92  |b DG1