Abstract
This chapter provides an overview of spatial dynamics in the field of regional science. After defining the context of spatial dynamics and the alternative conceptualizations of space and time, the chapter surveys the various areas of substantive interest where spatial dynamics come to the fore. A second focus is on the methodological and technical issues surrounding the methods of space-time data analysis. Here the emphasis is on exploratory methods for space-time data focusing on the evolution of spatial patterns as well as the identification of temporal dynamics that cluster in space.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abellan J, Richardson S, Best N (2008) Use of space–time models to investigate the stability of patterns of disease. Environ Health Perspect 116(8):1111–1119
Anselin L (1995) Local indicators of spatial association-LISA. Geogr Anal 27(2):93–115
Arbia G, Paelinck J (2003) Spatial econometric modelling of regional convergence in continuous time. Int Reg Sci Rev 26:342–362
Black D, Henderson V (2003) Urban evolution in the USA. J Econ Geogr 3(4):343–372
Bolton R (1985) Regional econometric models. J Reg Sci 25(4):495–520
Bosker M (2009) The spatial evolution of regional GDP disparities in the old and the new Europe. Pap Reg Sci 88(1):3–27
Clarke K, Gazulis N, Dietzel C, Goldstein N (2007) A decade of SLEUTHing: lessons learned from applications of a cellular automaton land use change model. In Fisher P (ed) Classics in IJGIS: twenty years of the International Journal of Geographical Information Science and Systems. CRC Press, Boca Raton, pp 413–427
Cressie N, Wikle C (2011) Statistics for spatio-temporal data. Wiley, New York
Duranton G, Overman H (2008) Exploring the detailed location patterns of UK manufacturing industries using microgeographic data. J Reg Sci 48(1):213–243
Fischer MM, Stumpner P (2008) Income distribution dynamics and cross-region convergence in Europe. J Geogr Syst 10(2):109–139
Fujita M, Krugman P, Venables AJ (2001) The spatial economy: cities, regions, and international trade. MIT Press, Cambridge
Goodchild M (2008) Combining space and time: new potential for temporal GIS. In: Knowles A (ed) Placing history: how maps, spatial data and GIS are changing historical scholarship. ESRI, Redlands, pp 179–198
Hägerstrand T (1970) What about people in regional science? Pap Reg Sci 24(1):6–21
Hammond GW (2004) Metropolitan/non-metropolitan divergence: a spatial Markov chains approach. Pap Reg Sci 83(3):543–563
Irwin E (2010) New directions for urban economic models of land use change: incorporating spatial dynamics and heterogeneity. J Reg Sci 50(1):65–91
Krugman P (1998) Space: the final frontier. J Econ Perspect 12(2):161–174
Le Gallo J (2004) Space-time analysis of GDP disparities across European Regions: a Markov chains approach. Int Reg Sci Rev 27(2):138–163
LeSage J, Reed J (1990) Testing criteria for determining leading regions in wage transmission models. J Reg Sci 30(1):37–50
Lloyd R, Steinke T (1977) Visual and statistical comparison of choropleth maps. Ann Assoc Am Geogr 67(3):429–436
Miller H (2006) Social exclusion in space and time. In: Axhausen K (ed) Moving through nets: The physical and social dimensions of travel. Elsevier, Amsterdam, pp 353–380
Partridge M, Rickman D (2005) Regional cyclical asymmetries in an optimal currency area: an analysis using US state data. Oxf Econ Pap 57(3):373–397
Quah DT (1993) Empirical cross-section dynamics in economic growth. Eur Econ Rev 37(2–3):426–434
Rey SJ (2001) Spatial empirics for economic growth and convergence. Geogr Anal 33(3):195–214
Rey SJ (2004) Spatial dependence in the evolution of regional income distributions. In: Getis A, Múr J, Zoeller H (eds) Spatial econometrics and spatial statistics. Palgrave, Hampshire, pp 193–213
Rey SJ, Le Gallo J (2009) Spatial analysis of economic convergence. In: Mills TC, Patterson K (eds) Handbook of econometrics volume II: applied econometrics. Palgrave Macmillan, New York
Rey SJ, Mack E, Koschinsky J (2012) Exploratory space–time analysis of burglary patterns. J Quant Criminol 28:509–531
Rey SJ, Murray AT, Anselin L (2011) Visualizing regional income distribution dynamics. Lett Spatial Resour Sci 4(1):81–90
Wikle C, Cressie N (2000) Space-time statistical modeling of environmental data. In Mowrer HT, Congalton RG (eds) Quantifying spatial uncertainty in natural resources. Ann Arbor Press, Chelsea, pp 213–235
Williamson J (1965) Regional inequality and the process of national development. Econ Dev Cult Change 13(4):3–47
Yang L, Xian G, Klaver J, Deal B (2003) Urban land-cover change detection through sub-pixel imperviousness mapping using remotely sensed data. Photogramm Eng Rem Sens 69(9):1003–1010
Acknowledgments
This research was funded in part by Award No. 2009-SQ-B9-K101 from the National Institute of Justice, Office of Justice Programs, US Department of Justice.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this entry
Cite this entry
Rey, S.J. (2014). Spatial Dynamics and Space-Time Data Analysis. In: Fischer, M., Nijkamp, P. (eds) Handbook of Regional Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23430-9_78
Download citation
DOI: https://doi.org/10.1007/978-3-642-23430-9_78
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23429-3
Online ISBN: 978-3-642-23430-9
eBook Packages: Business and Economics