More ananylsis to follow...
Friday, December 16, 2011
More ananylsis to follow...
Monday, December 12, 2011
Vegetation Growth Model:
Tuesday, December 06, 2011
Wednesday, November 30, 2011
Tuesday, November 29, 2011
To see a sample of the book click here.
Part 1: Computational Modelling: Techniques for Simulating Geographical Systems
- Perspectives on Agent-Based Models and Geographical Systems.
- A Generic Framework for Computational Spatial Modelling.
- A Review of Microsimulation and Hybrid Agent Based Approach.
- Cellular Automata in Urban Spatial Modelling.
- Introduction to Agent-Based Modelling.
- Agent-Based Models - Because they're Worth it?
- Agent-Based Modelling and Complexity.
- Designing and Building an Agent-Based Model.
- Modelling Human Behaviour in Agent-Based Models.
- Calibration and Validation of Agent-Based Models of Land Cover Change.
- Networks in Agent-Based Social Simulation.
- The Integration of Agent-Based Modelling and Geographical Information for Geospatial Simulation.
- Space in Agent-Based Models.-
- Large Scale Agent-Based Modelling: A Review and Guidelines for Model Scaling.
- Uncertainty and Error.-
- Agent-Based Extensions to a Spatial Microsimulation Model of Demographic Change.
- Designing, Formulating, and Communicating Agent-Based Models.-
- Agent Tools Techniques and Methods for Macro and Microscopic Simulation.
- Using Agent-Based Models to Simulate Crime.
- Urban Geosimulation.
- Applied Pedestrian Modelling.
- Business Applications and Research Questions using Spatial Agent-Based Models.
- Using Agent-Based Models for Education Planning. Is the UK Education System Agent Based?
- Simulating Spatial Health Inequalities.
- ABM of Residential Mobility, Housing Choice and Regeneration.-
- Do Land Markets Matter? A Modelling Ontology and Experimental Design to Test the Effects of Land Markets for an Agent-Based Model of Ex-urban Residential Land-Use Change.
- Exploring Coupled Housing and Land Market Interactions Through an Economic Agent-Based Model (CHALMS).
- Exploring Urban Dynamics in Latin American Cities using an Agent-Based Simulation Approach.
- An Agent-Based/Network Approach to Spatial Epidemics.
- An Agent-Based Modelling Application of Shifting Cultivation.
- Towards New Metrics for Urban Road Networks. Some Preliminary Evidence from Agent-Based Simulations.
- A Logistic Based Cellular Automata Model for Continuous Urban Growth Simulation: A Case Study of the Gold Coast City, Australia.
- Exploring Demographic and Lot Effects in an ABM/LUCC of Agriculture in the Brazilian Amazon.
- Beyond Zipf: An Agent Based Understanding of City Size Distributions.
- The Relationship of Dynamic Entropy Maximising and Agent Based Approaches in Urban Modelling.
- Multi-Agent System Modelling for Urban Systems: The Series of SIMPOP Models.
- Reflections and Conclusions: Geographical Models to Address Grand Challenges
Reviews of the book:
By José Manuel Galán for Journal of Artificial Societies and Social Simulation:
"To sum up, this book is an essential reference for any researcher in the field of ABM and geographical systems. Although a more than 700 pages book can scare everyone, the admirably collective effort to synthesize and provide an up-to-date overview of the most relevant methodological and applied works in the field is worth the challenge. Furthermore, it must be said that it can also be recommended to any reader interested in ABM in general, even if initially unconcerned about geographical applications. Indeed, the first book section covers most of the relevant topics to be considered as a primer in ABM, regardless of the context of application, especially the second ("Principles and Concepts of Agent-Based Modelling") and many chapters of the third part ("Methods, Techniques and Tools for the Design and Construction of Agent-Based Models")."By Itzhak Benenson for International Journal of Geographical Information Science:
"To conclude, the 37 chapters of this fundamental volume provide a comprehensive perspective of the state of the art in the intensively developing field of modern geographic enquiry to the community of Agent-Based (AB) modelers in geography. I enjoyed reading the book and I am sure it will have an essential influence on the AB modeling community and inspire numerous further developments in the field."By Suzana Dragićević for Environment and Planning B:
"Overall, this edited book provides a comprehensive overview of the emerging area of ABM. Together, the chapters provide a rich source of bibliographic references, detailed illustrations to support visual understanding, and a logical presentation of the science behind ABM. This would make the book useful for a variety of target audiences ranging from established professionals who are interested in the current state of ABM to graduate and undergraduate students who need a systematic introduction to ABM. This book will be an essential reference text for academics, students, and decision makers who design and interpret spatial models to understand geographical processes."
World Map of authors who contributed to Agent-Based Models of Geographical Systems
View Contributors to Agent-Based Models of Geographical Systems in a larger map
Thursday, November 10, 2011
The workshop webpage is at http://www1.spms.ntu.edu.sg/~cheongsa/acss.html
Advances in computational systems and methods (parallel, distributed, cloud; agents, networks) are revolutionizing how social science research is done. It is now possible to simulate entire cities, for example, in tremendous detail, not only in terms of technical infrastructures like traffic, but also in terms of the social choices of individuals and how these interact with each other to produce complex phenomena. At the same time, advances in informatics infrastructures mean that more data and more detailed data are collected. These data are not just on our physical environment, but are also along social dimensions. The confluence of these two developments open up many possibilities, and social scientists are now probing questions that they could never ask before. Frequently, asking these questions generate even more inquiry into the interfaces between social science, computer science, information science, and engineering.
In this workshop, we aim to provide a forum for computational social scientists to share advances made in their respective fields, and the innovations they have developed across disciplinary boundaries: on models, methods, data integration and analysis, as well as interpretation of diverse social phenomena. We also hope to foster an environment for earnest dialogue between social scientists keen to employ sophisticated computational models and methods in their research, and computer/information scientists and engineers interested in understanding social science problems.
We invite original research papers on the following topics:
- Modeling methodologies
- Simulation strategies and algorithms
- Organization of heterogeneous social data
- Data-mining and machine learning on social, behavioral, and economic data
- Integration of social data into simulations
- Computational studies of specific social science problems
Computational social science papers that are relevant to this workshop, but cannot be easily classified based on the topics above will also be considered.
Papers should be written in English, up to a page limit of 10 pages. The papers should follow the Procedia format, and be submitted electronically through the ICCS submission engine.
Please remember to select the workshop ADVANCES IN COMPUTATIONAL SOCIAL SCIENCES in the last field of the submissions page.
We ask authors to also send a note to firstname.lastname@example.org after their submission.
All papers will be peer reviewed. Accepted papers will be published by Elsevier in the open-access Procedia Computer Science series. The proceedings will be available at the conference.
At least one author of an accepted paper must register for the ICCS 2012 conference to present the paper at the workshop.
A selected number of papers will be invited to be extended for inclusion in a special issue of the Journal of Computational Science.
Full paper submission: January 9, 2012
Notification of acceptance: February 9, 2012
Camera-ready papers: March 1, 2012
Early registration ends: April 15, 2012
Conference: June 4–6, 2012
Heiko AYDT Nanyang Technological University, Singapore
Tibor BOSSE Vrije Universiteit Amsterdam, the Netherlands
Siew Ann CHEONG Nanyang Technological University, Singapore
Andrew CROOKS George Mason University, USA
Nicolas MALLESON University of Leeds, UK
Paul TORRENS University of Maryland, College Park, USA
Friday, October 21, 2011
//landscape = setupLandscape(); // uniform landscape, completely flat
//landscape = setupLandscapeGradientIn(); // landscape that slopes in
WaterWorld.javafile but ensure you comment out the (e.g. add '//' ) to the following line:
landscape = setupLandscapeReadIn("elevation.txt"); // read landscape from file
sim.app.geo.campusworldexample.The model demonstrates how you can make agents move along networks (in this case road lines in the form of ESRI shapefiles) from their origin to their destination via a shortest path algorithm.
Point Schelling Model
SLEUTH: Urban Growth Model
Thursday, October 13, 2011
Wednesday, October 12, 2011
More information can be found at:
Epstein JM, Pankajakshan R, Hammond RA, 2011 Combining Computational Fluid Dynamics and Agent-Based Modeling: A New Approach to Evacuation Planning. PLoS ONE 6(5): e20139. doi:10.1371/journal.pone.0020139
Monday, October 10, 2011
"The FuturICT flagship proposal intends to unify hundreds of the best scientists in Europe in a 10 year 1 billion EUR program to explore social life on earth and everything it relates to."
The movie below gives a nice overview of its aim:
More movies about the project can be found here or follow them on twitter
Sunday, October 02, 2011
"Virtual Geographic Environments, edited by Hui Lin and Michael Batty, collects key papers that define the current momentum in GIS and "virtual geographies." Contributions by leading members of the geospatial community to Virtual Geographic Environments illustrate the cutting edge of GIScience, as well as new applications of GIS with the processing and delivery of geographic information through the Web and handheld devices, forming two major directions to these developments. The four-part organization leads from a primer on VGEs to virtual cities and landscapes, interface design and public participation, and finally mobile and networked VGEs. Current topics, such as crowd sourcing and related services, point to the development of new business models that merge proprietary and nonproprietary systems."
Andrew Hudson-Smith and myself have contributed a chapter entitled "The Renaissance of Geographic Information: Neogeography, Gaming and Second Life". The abstract for our paper is:
"Web 2.0, specifically The Cloud, GeoWeb and Wikitecture are revolutionising the way in which we present, share and analyse geographic data. In this paper we outline and provide working examples a suite of tools which are detailed below, aimed at developing new applications of GIS and related technologies. GeoVUE is one of seven nodes in the National Centre for e-Social Science whose mission it is to develop web-based technologies for the social and geographical sciences. The Node, based at the Centre for Advanced Spatial Analysis, University College London has developed a suite of free software allowing quick and easy visualisation of geographic data in systems such as Google Maps, Google Earth, Crysis and Second Life. These tools address two issues, firstly that spatial data is still inherently difficult to share and visualise for the non-GIS trained academic or professional and secondly that a geographic data social network has the potential to dramatically open up data sources for both the public and professional geographer. With our applications of GMap Creator, and MapTube to name but two, we detail ways to intelligently visualise and share spatial data. This paper concludes with detailing usage and outreach as well as an insight into how such tools are already providing a significant impact to the outreach of geographic information."
Monday, September 26, 2011
Crooks, A. T., Hudson-Smith, A. and Patel, A. (2011), Advances and Techniques for Building 3D Agent-Based Models for Urban Systems, in Marceau D. and Benenson, I. (eds.), Advanced Geosimulation Models, Bentham Science Publishers, Hilversum, The Netherlands, pp 49-65.(pdf)
Monday, September 19, 2011
Wednesday, June 22, 2011
SPECIAL SESSION(S): Agent-Based Models and Geographical Systems
LOCATION AND DATES
Association of American Geographers Annual Meeting
February, 24-28th, 2012, New York, USA
Agent-based modeling (ABM) within geographical systems is starting to mature as a methodology in geography and across the social sciences. The aim of this session(s) is to bring together researchers utilizing agent-based models (and associated methodologies) to discuss topics relating to: theory, technical issues and applications domains of ABM within geographical systems.
We would particularly welcome papers relating to:
- Validation, verification and calibration of Agent-based models
- Hybrid modeling approaches (e.g. utilizing Cellular Automata, Spatial Interaction, Microsimulation, etc.)
- Handling scale and space issues
- Visualization of agent-based models (along with their outputs)
- Ways of representing behavior within models of geographical systems
- Participatory modeling and simulation
- Applications: Ranging from the micro to macro scale
Please e-mail the abstract and key words with your expression of intent to Alison Heppenstall <A.J.Heppenstall@leeds.ac.uk> by September 15th, 2011. Please make sure that your abstract conforms to the AAG guidelines in relation to title, word limit and key words and as specified at <http://www.aag.org/cs/annualmeeting/call_for_papers/abstract_guidelines>. An abstract should be no more than 250 words that describes the presentation's purpose, methods, and conclusions as well as to include keywords. Full submissions will be given priority over submissions with just a paper title.
We are currently investigating journals (e.g. Environment and Planning B) in order to widely disseminate the ideas emerging from this session(s). Authors will have the opportunity to suitably revise their presentations for publication.
Alison Heppenstall, School of Geography, University of Leeds, Leeds, UK
Andrew Crooks, Krasnow Institute for Advanced Study, George Mason University, USA,
Linda See, International Institute of Applied Systems Analysis (IIASA), Laxenburg, Austria
Mark Birkin, School of Geography, University of Leeds, Leeds, UK
Michael Batty, Centre for Advanced Spatial Analysis (CASA), University College London, London, UK
September 15th, 2011: Abstract submission and expression of intent to session organizers. E-mail Alison Heppenstall <A.J.Heppenstall@leeds.ac.uk> by this date if you are interested in being in this session. Please submit an abstract and key words with your expression of intent. Full submissions will be given priority over submissions with just a paper title.
September 22th, 2011: Session finalization. Session organizers determine session order and content and notify authors.
September 26th, 2011: Final abstract submission to AAG, via www.aag.org. All participants must register individually via this site. Upon registration you will be given a participant number (PIN). Send the PIN and a copy of your final abstract to Alison Heppenstall
September 28th, 2011: AAG registration deadline. Sessions submitted to AAG for approval.
February 24-28th, 2012: AAG meeting, New York, USA
Friday, May 06, 2011
"Complex Systems and Complex Networks"
Paris, July 4th to 16th, 2011
- Marc barthelemy, CEA (IPhT)/EHESS (CAMS), France
- Nathalie Corson, Laboratoire de Mathématiques Appliquées du Havre, France
- René Doursat, ISC-PIF, France
- Sebastian Grauwin, ENS Lyon/IXXI, France
- Jean-Loup Guillaume, LIP6, France
- Hidde de Jong, INRIA, France
- Luciano Pietronero, Physics Department, Rome University "La Sapienza", Italy
- Camille Roth, CAMS/ISC-PIF, France
Tutorials and/or group projects following
Netlogo Arnaud Banos | Nathalie Corson | Jeremy Fiegel | Sebastian Grauwin |Nicolas Marilleau | Clara Schmitt
GEPHI Julian Bilcke | David Chavalarias
Open Mole Mathieu Leclaire | Romain Reuillon
Applying to the Summer School
The application tuition rate is €500 for the whole school. Tuition rate includes:
- attendance to all courses
- housing in Paris at the Cité Internationale Universitaire de Paris
- lunches and coffee breaks
- transport tickets in Paris during school days
Overview of important dates:
- Application deadline: May 31
- Notification of acceptance of applications: after reception of each application (first-come, first-served)
- Payment website opening: May 15
WE STRONGLY RECOMMEND YOU TO APPLY AS SOON AS YOU CAN (the school is limited to 25!).
Tuesday, May 03, 2011
To quote from the site:
"The mission of the Geospatial Revolution Project is to expand public knowledge about the history, applications, related privacy and legal issues, and the potential future of location-based technologies"
The other three episodes are:
Friday, April 29, 2011
From a local scene we can also turn to exploring more larger scenes such as entire metropolitan regions. The movie below is of that of TRANSIMS microsimulation-agent based model applied to downtown Chicago:
Tuesday, March 29, 2011
Monday, February 28, 2011
BAM computes the cumulative di difference between predictions of the perturbed and original 3P trajectories in order to conduct analysis of decisions within the medium run planning horizon.
Who is behind BAM?
Where can I see BAM?
- Read an early working paper (pdf, 13 pages);
- Download self contained, ready to run version of the BAM simulation used in the "Comprehensive Assessment of Businesss Decisions" working paper (zip file) and associated presentation (ppt file) on running and interpreting outputs;
- See Validation Verification experiments we have performed with the current revision of the BAM, not included in the working paper;
Wednesday, February 09, 2011
The course description is as follows:
This six-day, non-credit, course is a unique opportunity to work with a team of experienced computational social scientists to explore and understand the application of new interdisciplinary approaches to modeling and making decisions involving the operations of social systems. Participants will imerse themselves in an intensive tour of the field of Computational Social Science, a broad set of efforts that seek to explain and predict how large-scale human systems from organizations to urban systems, from economies to society as a whole, evolve, react to stresses and stimuli, and cooperate and compete. Participants will hear presentations from experts in the field and engage in intensive dialoguing, demonstrations, and policy scenarios.
For further information and details see: http://krasnow.gmu.edu/DMSC/dmsc-css.html
Computational Social Science (CSS) is a relatively new interdisciplinary science in which social science questions are investigated with modern computational tools. Computational social scientists investigate complex social phenomenon such as economic markets, traffic control, and political systems by simulating the interactions of the many actors in such systems, on computers. They hope to gain insights which will lead to better management of the behavior of the larger social systems, i.e., prevention of market crashes, smoothed traffic flow, or maintenance of political stability. The intractability of many social problems calls for the new approaches provided by computational social science.
CSS is a highly interdisciplinary field that requires teams to plan and complete projects, be they undertaken by government, industry, or non-profit entities. Project managers of such teams, overseeing all elements of project design and execution, tend to hold PhDs. The MAIS concentration will train students to be members of these project teams, able to meaningfully contribute to background research and to project design, execution, and communication.
Prior background should include a bachelor’s degree in one of the social sciences, in computer science, in engineering, or in a relevant discipline, as well as undergraduate courses in these and related areas. Bachelor’s degrees in other areas are also eligible, but the student may be required to take additional courses in social science, mathematics, or computer science as prerequisites to admission.
This concentration will be available in fall 2011.
Concentration Requirements (Catalog Year 2010-2011)
Six core courses (18 credits)
- Three required courses (9 credits): CSS 600, 605, 610
The required CSS courses provide an understanding of the conceptual, technical, and practical foundations of computational social science.
- Three elective courses (9 credits) chosen from: CSS 620, 625, 645, 692, 739
The electives provide an understanding of the technical foundations and current work in at least two subfields of computational social science.
- One research courses (3 credits) chosen from: CSS 796, 898, 899
The research course provides students with exposure to the most current ongoing research in the field and allows them to further develop their computational research expertise.
- Three-four elective courses (9-12 credits)
The electives allow students to acquire a substantive specialization as well as additional training in social and computational science. Because of the broad spectrum of social science phenomena, methodologies, and student backgrounds, there is a large pool of potential courses. Electives may include any Mason master’s-level course in computational social science, social science, computer science, statistics, or other quantitative methods such as data visualization, information technology, and geographic information science. Electives should be selected in conjunction with and approval of the student’s advisor and the Director of CSS Graduate Studies. If the student does not have prior coursework in multivariate statistical analysis, the electives should include at least one such course relevant for the student’s chosen specialization.
Students who elect to do a 5-credit project or a thesis take 9 elective credits. Students who do a 2-credit project take 12 credits.
- Proposal (1 credit): MAIS 797
- Project (2-5 credits) or thesis (5 credits): MAIS 798 or MAIS 799.
Total: 36 CreditsRequirements may be different for earlier catalog years. See the University Catalog archives.
Head of the Concentration in Computational Social Science
Contact: Karen Underwood
Academic Department Coordinator
Department of Computational Social Science
Research 1, Room 373, MSN 6B2
Fairfax, VA 22030
Monday, January 31, 2011
The reason I bring this up are twofold. First I recently stumbled upon a site from the NY Times entitled "Mapping America: Every City, Every Block" which shows data from the US Census Bureau's American Community Survey from 2005 to 2009. What is interesting is that there are several maps showing the distribution of racial and ethnic groups throughout the US along with the percentage of foreign born and how neighborhood have changed over time (similar work is also being done at CASA for the UK's population). Such data could come in handy for residential segregation models.