LEADER 00681nam0-22002531i-450- 001 990007017670403321 035 $a000701767 035 $aFED01000701767 035 $a(Aleph)000701767FED01 035 $a000701767 100 $a20010921d19439999km-y0itay50------ba 101 $aita 105 $ay-------001yy 200 1 $aCapricci di Vegliardo$fBruno Barilli 210 $aMilano$cMeridiana$d1943 215 $a112 p.$d21 cm 700 1$aBarilli,$bBruno$f<1880-1952>$0327896 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990007017670403321 952 $aBIB. BAT.5708$b7321$fBAT 959 $aBAT 996 $aCapricci di Vegliardo$9697050 997 $aUNINA LEADER 05315nam 2200361 450 001 9910674401003321 005 20230629190253.0 035 $a(CKB)3880000000044193 035 $a(NjHacI)993880000000044193 035 $a(EXLCZ)993880000000044193 100 $a20230629d2016 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAgent-based modelling and landscape change /$fedited by James D. A. Millington, John Wainwright 210 1$aBasel, Switzerland :$cMDPI - Multidisciplinary Digital Publishing Institute,$d2016. 215 $a1 online resource (326 pages) $cillustrations 311 $a3-03842-280-0 327 $aList of Contributors -- About the Guest Editors -- Preface to "Agent-Based Modelling and Landscape Change" -- James D. A. Millington and John Wainwright Landscape Change Comparative Approaches for Innovation in Agent-Based Modelling of http://www.mdpi.com/2073-445X/5/2/13, Reprinted from: Land 2016, 5(2), 13 -- Fraser J. Morgan, Philip Brown and Adam J. Daigneault Simulation vs. Definition: Differing Approaches to Setting Probabilities for Agent Behaviour, Reprinted from: Land 2015, 4(4), 914-937, http://www.mdpi.com/2073-445X/4/4/914 -- Julia Maria Bra?ndle, Gaby Langendijk, Simon Peter, Sibyl Hanna Brunner and Robert Huber Sensitivity Analysis of a Land-Use Change Model with and without Agents to Assess Land Abandonment and Long-Term Re-Forestation in a Swiss Mountain Region, Reprinted from: Land 2015, 4(2), 475-512, http://www.mdpi.com/2073-445X/4/2/475 -- Deng Ding, David Bennett and Silvia Secchi Investigating Impacts of Alternative Crop Market Scenarios on Land Use Change with an Agent-Based Model, Reprinted from: Land 2015, 4(4), 1110-1137 http://www.mdpi.com/2073-445X/4/4/1110 -- Laura Schmitt Olabisi, Ryan Qi Wang and Arika Ligmann-Zielinska, Why Don't More Farmers Go Organic? Using A Stakeholder-Informed Exploratory Agent-Based Model to Represent the Dynamics of Farming Practices in the Philippines, Reprinted from: Land 2015, 4(4), 979-1002 http://www.mdpi.com/2073-445X/4/4/979 -- Biola K. Badmos, Sampson K. Agodzo, Grace B. Villamor and Samuel N. Odai An Approach for Simulating Soil Loss from an Agro-Ecosystem Using Multi-Agent Simulation: A Case Study for Semi-Arid Ghana Reprinted from: Land 2015, 4(3), 607-626 http://www.mdpi.com/2073-445X/4/3/607 -- C. Michael Barton, Isaac Ullah and Arjun Heimsath How to Make a Barranco: Modeling Erosion and Land-Use in Mediterranean Landscapes Reprinted from: Land 2015, 4(3), 578-606 http://www.mdpi.com/2073-445X/4/3/578 -- Julia K. Clark and Stefani A. Crabtree Examining Social Adaptations in a Volatile Landscape in Northern Mongolia via the Agent-Based Model Ger Grouper Reprinted from: Land 2015, 4(1), 157-181, http://www.mdpi.com/2073-445X/4/1/157 -- Stefani A. Crabtree Simulating Littoral Trade: Modeling the Trade of Wine in the Bronze to Iron Age Transition in Southern France, Reprinted from: Land 2016, 5(1), 5, http://www.mdpi.com/2073-445X/5/1/5 -- S. M. Niaz Arifin, Rumana Reaz Arifin, Dilkushi de Alwis Pitts, M. Sohel Rahman, Sara Nowreen, Gregory R. Madey and Frank H. Collins Landscape Epidemiology Modeling Using an Agent-Based Model and a Geographic Information System, Reprinted from: Land 2015, 4(2), 378-412 http://www.mdpi.com/2073-445X/4/2/378 -- Peter George Johnson Agent-Based Models as "Interested Amateurs" Reprinted from: Land 2015, 4(2), 281-299 http://www.mdpi.com/2073-445X/4/2/281. 330 $aThe use of agent-based models (ABMs) and modelling for understanding landscape change and dynamics continues to grow. One reason for the popularity of ABMs is that they provide a framework to represent multiple, discrete, multi-faceted, heterogeneous actors (human or otherwise) and their relationships and interactions between one another and their environment, through time and across space. This collection showcases innovative uses of ABMs for investigating and explaining landscape change and dynamics and to explore and identify how researchers in different disciplines can learn from one another to further innovate. The diverse range of processes and landscapes that ABMs are currently used to examine is clearly demonstrated, including: land-use decision making in agricultural landscapes; soil erosion in semi-arid environments; forest change in mountainous landscapes; trade in 1st Century BC southern France; social adaptations of herders in northern Mongolia; and malaria epidemiology in Kenya. A range of agent-based representation is used from the implied presence of agents, through comparing heterogeneous vs. aggregated representation of human activity, to alternative means of parameterizing individual agent behaviour. The collection will be of interest to all interested in innovative agent-based modelling for understanding landscape change, its causes and consequences for sustainability in the Anthropocene. 606 $aLandscapes 615 0$aLandscapes. 676 $a111.85 702 $aMillington$b James D. A. 702 $aWainwright$b John 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910674401003321 996 $aAgent-Based Modelling and Landscape Change$92936251 997 $aUNINA