This book has a thesis, it makes the case for Computational Movement Analysis (CMA), as an interdisciplinary umbrella for contributions from a wide range of fields aiming for a better understanding of movement processes. This first chapter explains why this inclusive umbrella is a contribution, what it involves, and which fields it borrows methods and concepts from.
KeywordsMovement Data Movement Trace Movement Ecology Geographic Information Science Move Object Database
- Anselin, L. (1990). What is special about spatial data? In D. A. Griffith (Ed.), Statistics, past, present, and future, monograph Series (pp. 63–77). Ann Arbor, MI: Institute of Mathematical Geography.Google Scholar
- Frank, A. U. (1998). Different types of times in GIS. In M. J. Egenhofer & R. G. Colledge (Eds.), Spatial and temporal reasoning in geographic information systems (pp. 40–62). Oxford, UK: Oxford University Press.Google Scholar
- Frank, A. U. (2001). Socio-economic units: Their life and motion. In A. U. Frank, J. Raper, & J. P. Cheylan (Eds.), Life and motion of socio-economic units (Vol. 8, pp. 21–34)., GISDATA London, UK: Taylor & Francis.Google Scholar
- Gudmundsson, J., Laube, P., & Wolle, T. (2012). Computational movement analysis. In W. Kresse & D. M. Danko (Eds.), Springer handbook of geographic information (pp. 423–438). Berlin: Springer.Google Scholar
- Miller, H., & Han, J. (Eds.). (2009). Geographic data mining and knowledge discovery (2nd ed.). Boca Raton, FL: CRC Press.Google Scholar
- Worboys, M., & Duckham, M. (2004). GIS—A computing perspective (2nd ed.). New York: CRC Press.Google Scholar