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2012 | 31 | 2 |
Tytuł artykułu

Behaviour of humans and behaviour of models in dynamic space

Autorzy
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Wydawca
-
Rocznik
Tom
31
Numer
2
Opis fizyczny
p.7-19,fig.,ref.
Twórcy
autor
  • Department of Spatial Economics, Free University, Amsterdam, The Netherlands
Bibliografia
  • Ahas R., Aasa a., Mark U., Pae T. & Kull T., 2006. Seasonal tourism spaces in Estonia: Case study with mobile positioning data. Tourism Management, 28(3): 898-910.
  • Ahas R., Aasa A., Silm S. & Tiru M., 2007. Mobile positioning data in tourism studies and monitoring: Case study in Tartu, Estonia. In: Sigala M., Mich L. & Murphy J. (eds), Springer computer science: Information and communication technologies in tourism. Springer, Berlin: 119-128.
  • Ahas R., Saluveer E., Tiru M. & Silm S., 2008. Mobile positioning based tourism monitoring system: Positium barometer. In: O'Connor P., Hopken W. & Gretzel U. (eds), Information and communication technologies in tourism 2008. Springer, Berlin: 475-485.
  • Andersson C., Frenken K. & Hellervik A., 2006. A complex networks approach to urban growth. Environment and Planning A, 38: 1941-1964.
  • Anselin L. & Rey S.J. (eds), 2010. Perspectives on spatial data analysis. Springer Verlag, Berlin.
  • Arribas D., Nijkamp P. & Scholten H., 2010. Multidimensional urban sprawl in Europe: A self-organizing map approach. Technical report. Department of Spatial Economics, VU University, Amsterdam. Research Paper.
  • Bar-Gera H., 2007. Evaluation of a cellular phone-based system for measurements of traffic speeds and travel times: A case study from Israel. Transportation Research, Part C, 15(6): 380-391.
  • Barabasi A.L., 2009. We are at the threshold of understanding complexity. In: 12 Scientists on the 21st Century. World Science Forum, Budapest: 19-26.
  • Barabasi A.L. & Albert R., 1999. Emergence of scaling in random networks. Science, 286: 509-512.
  • Batty M., 2005. Cities and complexity. MIT Press, Cambridge, MA.
  • Bavaud F. & Mager C. (eds), 2009. Handbook of theoretical and quantitative geography. UNIL, Lausanne.
  • Bergh J.C.J.M. van den, 2004. Optimal climate policy is a utopia: From quantitative to qualitative cost-benefit analysis. Ecological Economics, 48: 385-393.
  • Bergh J.C.J.M. van den, 2007. Evolutionary thinking in environmental economics. Journal of Evolutionary Economics, 17: 521-549.
  • Bergh J.C.J.M. van den, Faber a., Idenburg A.M. & Oosterhuis F.H., 2007. Evolutionary economics and environmental policy: Survival of the greenest. Edward Elgar, Cheltenham.
  • Bertuglia C.S. & Vaio F., 2009. The complexity approach to urban and regional systems and to the economy in general. Review of Economic Conditions in Italy, 2: 123-176.
  • Boccaletti S., Latora V., Moreno Y., Chavez M. & Hwang D.- U., 2006. Complex networks: Structures and dynamics. Physics Report, 424 (4-5): 175-308.
  • Boschma R.A., 2004. Competitiveness of regions from an evolutionary perspective. Regional Studies, 38(9): 1001-1014.
  • Boschma R.A. & Frenken K., 2006. Why is economic geography not an evolutionary science? Towards an evolutionary economic geography. Journal of Economic Geography, 6(3): 273-302.
  • Boschma R.A. & Lambooy J.G., 1999. Evolutionary economics and economic geography. Journal of Evolutionary Economics, 9: 411-429.
  • Boulding K.E., 1981. Evolutionary economics. Sage Publications, Beverly Hills.
  • Boutilier C., Brafman R.I., Domshlak C., Hoos H.H. & Poole D., 2004. CP-Nets: A tool for representing and reasoning with conditional ceteris paribus preference statements. Journal of Artificial Intelligence Research, 21: 135-141.
  • Brenner T., 2004. Local industrial clusters - existence, emergence and evolution. Routledge, London and New York.
  • Calabrese F., Ratti C. & Reades J., 2001. Eigenplaces: segmenting space through digital signatures. Pervasive Computing, 10: 1-6.
  • Casson M., 2009. The efficiency of the Victorian British railway network: A counterfactual analysis. Networks and Spatial Economics, 9(3): 339-378.
  • Codd E., 1968. Cellular automata. Academic Press, New York.
  • Couclelis H., 1997. From cellular automata to urban models. Environment and Planning B, 24: 165-174.
  • Dobson J.E., Fisher P.F., 2003. Geoslavery. IEEE Technology and Society Magazine, Spring: 47-52.
  • Eagle N., Pentland A. & Lazer D., 2009. Inferring friendship network structure by using mobile phone data. PNAS, 9(36): 15274-15278.
  • Elhorst J.P., 2010. Applied spatial econometrics: Raising the bar. Spatial Economic Analysis, 5(1): 10-28.
  • Erdos P. & Renyi A., 1959. On random graphs. Publicationes Mathematicae, 6: 290-297.
  • ESRI, 2010. ESRI press release. Retrieved from http: //www. esri.com/.
  • Feynman R., 1960. There is plenty of room at the bottom. Engineering and Science, 23(5): 22-36.
  • Fischer M.M., Reismann M. & Scherngell T., 2010. Spatial interaction and spatial autocorrelation. In: Anselin L. & Rey S.J. (eds), Perspectives on spatial data analysis. Springer-Verlag, Berlin: 61-82.
  • Fotheringham A.S., Brunsdon C. & Charlton M., 2002. Geographically weighted regression. John Wiley, Chichester, UK.
  • Frenken K. (ed.), 2007. Applied evolutionary economics and economic geography. Edward Elgar, Cheltenham.
  • Georgescu-Roegen N., 1971. The entropy law and the economic process. Harvard University Press, Cambridge, MA.
  • Gibson J., 1979. The ecological approach to visual perception. Houghton Mifflin, Boston MA.
  • Gonzalez M.C., Hidalgo C.A. & Barabasi A.L., 2008. Understanding individual human mobility patterns. Nature, 453: 779-782.
  • Gorman S.P. & Kulkarni R., 2004. Spatial small worlds. Environment and Planning, B, 31(2): 273-296.
  • Goss J., 1995. We know who you are and we know where you live. Economic Geography, 71(2): 171-198.
  • Gough I., Runciman G., Mace R., Hodgson G. & Rustin M., 2008. Darwinian evolutionary theory and the social sciences. 21st Century Society, 3(1): 65-86.
  • Hägerstrand T., 1970. What about people in regional science? Papers of the Regional Science Association, 24: 7-21.
  • Haining R.P., Kerry R. & Oliver M.A., 2010. Geography, spatial data analysis and geostatistics: An overview. Geographical Analysis, 42(1): 7-31.
  • Jiang B. & Yao X., 2006. Location-based services and GIS in perspective. Computers, Environment and Urban Systems, 30: 712-725.
  • Kaldor N., 1985. Economics without equilibrium. University College Cardiff Press, Cardiff.
  • Kohonen T., 2000. Self-organising maps. Springer-Verlag, New York.
  • Krugman P.R., 1991. Increasing returns and economic geography. Journal of Political Economy, 99(3): 483-499.
  • Kulkarni R., Schintler L.A., Stough R.R. & Button K., 2002. A Kohonen self-organizing map approach to modeling growth pole dynamics. Networks and Spatial Economics, 2: 175-189.
  • Kumar K. & Lu Y., 2010. Cloud computing for mobile users: Can offloading computation save energy? Search, 43(4): 51-56.
  • Lambooy J.G. & Boschma R.A., 2001. Evolutionary economics and regional policy. Annals of Regional Science, 35: 113-131.
  • Lazer D., Pentland A., Adamic L., Aral S., Barabasi A.L., Brewer D., Christakis N., Contractor N., Fowler J., Gutmann M., Jebara T., King G., Macy M., Roy D. & Alstyne M. van, 2009. Computational social science. Science, 323: 721-724.
  • LeSage J.P. & Pace R.K., 2009. Introduction to spatial econometrics. Taylor and Francis, Boca Raton.
  • Maggioni M.A., 2002. Clustering dynamics and the location of high-tech firms. Springer, Heidelberg.
  • Marshall A., 1898. Principles of economics. MacMillan, London.
  • McGeachie M. & Doyle J., 2002. Efficient utility functions for ceteris paribus preferences. American Association for Artificial Intelligence: 279-284.
  • Medda F., Nijkamp P. & Rietveld P., 2009. Dynamic effects of private costs on urban shape. In: Reggiani A. & Nijkamp P. (eds), Complexity and spatial networks. Springer-Verlag, Berlin: 51-60.
  • Nelson R. & Winter S., 1982. An evolutionary theory of economic change. Harvard University Press, Cambridge, MA.
  • Nijkamp P., 2007. Ceteris paribus, spatial complexity and spatial equilibrium - an interpretative perspective. Regional Science and Urban Economics, 37: 509-516.
  • Pagliara F. & Timmermans H.J.P., 2009. Choice set generations in spatial contexts. In: Bavaud F. & Mager C. (eds), Handbook of theoretical and quantitative geography. UNIL, Lausanne: 335-364.
  • Patuelli R., Griffith D.A., Tiefelsdorf M. & Nijkamp P., 2010. Spatial filtering methods for tracing space-time developments in an open regional system. In: Frenckel A., McCann Ph. & Nijkamp P. (eds), Societies in motion. Edward Elgar, Cheltenham (forthcoming).
  • Penn D.J., 2003. The evolutionary roots of our environmental problems: Towards a Darwinian ecology. The Quarterly Review of Biology, 78(3): 275-301.
  • Persky J., 1990. Retrospectives: Ceteris paribus. Journal of Economic Perspectives, 4(2): 187-193.
  • Portugali J., 2000. Self-organization and the city. Springer-Verlag, Berlin.
  • Portugali J., 2004. Toward a cognitive approach to urban dynamics. Environment and Planning, B, 31: 598-613.
  • Portugali J. (ed.), 2006. Complex artificial environments. Springer-Verlag, Berlin.
  • Portugali J., 2008. Learning from paradoxes about predictions in self-organizing cities. Planning Theory, 7: 248262.
  • Pred A., 1977. The choreography of existence. Economic Geography, 53: 207-221.
  • Raubal M., Miller H. & Bridwell S., 2004. User centered time geography for location-based services. Geografiska Anna- ler, B, 86(4): 245-265.
  • Reades J., Calabrese F. & Ratti C., 2009. Eigenplaces: Analyzing cities using the space-time structure of the mobile phone network. Environment and Planning, B, 36: 824-836.
  • Reades J., Calabrese F., Sevtsuk A. & Ratti C., 2007. Cellular census: Explorations in urban data collection. IEEE Pervasive Computing, 6(3): 30-38.
  • Reggiani A. & Nijkamp P. (eds), 2009. Complexity and spatial networks. Springer-Verlag, Berlin.
  • Reggiani A. & Nijkamp P., 2010. Connectivity and concentration in airline networks. European Journal of Information Systems, March: 1-13.
  • Rozenblat C. & Melancon G., 2009. A small world perspective on urban systems. In: Bavaud F. & Mager C. (eds), Handbook of theoretical and quantitative geography. UNIL, Lausanne: 431-457.
  • Safarzynska K., 2010. Evolutionary modelling of transitions to sustainable development. PhD thesis, VU University, Amsterdam.
  • Shiode N., Li C., Batty M., Longley P. & Maguire D., 2002. Digital cities: Impacts and penetration of location- based services. University College, London. UCL Working Papers.
  • Simon H., 1962. The architecture of complexity. Proceedings of the American Philosophical Society, 106(6): 467-482.
  • Stam E., 2006. A process model of locational change: implications for an evolutionary economic geography. In: Pyka A. & Hanusch H. (eds), Applied evolutionary economics and the knowledge-based economy. Edward Elgar, Cheltenham: 143-165.
  • Steenbruggen J., Borzacchiello M.T., Nijkamp P. & Scholten H., 2010. Real-time data from mobile phone networks for traffic management. Research memorandum 2010-3. Dept. of Spatial Economics, VU University, Amsterdam.
  • Storper M., 1997. The regional world. Territorial development in a global economy. Guilford Press, London.
  • Sui D.Z., 2004. GIS, Cartography and the 'Third Culture': Geographic imaginations in the computer age. The Professional Geographer, 56(1): 62-72.
  • Tobler W., 1970. A computer movie simulating urban growth in the Detroit region. Economic Geography, 46(2): 234-240.
  • Tobler W., 2004. On the first law of geography: A reply. Annals of the Association of American Geographers, 94(2): 304-310.
  • Tranos E., 2010. The geography of the Internet infrastructure in Europe. PhD thesis, Newcastle University, Newcastle.
  • Warf B. (ed.), 2006. Encyclopedia of human geography. Sage, Thousand Oaks, CA.
  • Watts D.J. & Strogatz S.H., 1998. Collective dynamics of 'small-world' networks. Nature, 393: 440-442.
  • Wilson A.G., 2009. The thermodynamics of the city. In: Reggiani A. & Nijkamp P. (eds), Complexity and spatial networks. Springer-Verlag, Berlin: 11-31.
  • Yu H. & Shaw S., 2008. Exploring potential human activities in physical and virtual spaces: A spatio-temporal GIS approach. International Journal of Geographical Information Science, 22(4): 409-430.
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Bibliografia
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