Skip to main content

Introduction

  • Chapter
  • First Online:
Computational Movement Analysis

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    There is a large body of literature on movement analysis with a medical kinetics perspective, studying the movement of body parts. Such movement is not covered in this book.

References

  • 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 

  • Claussen, D. L., Finkler, M. S., & Smith, M. M. (1997). Thread trailing of turtles: Methods for evaluating spatial movements and pathway structure. Canadian Journal of Zoology-Revue Canadienne De Zoologie, 75(12), 2120–2128.

    Article  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 

  • Galton, A. (2005). Dynamic collectives and their collective dynamics. In A. Cohn & D. M. Mark (Eds.), Spatial information theory, proceedings (Vol. 3693, pp. 300–315)., Lecture Notes in Computer Science Berlin: Springer.

    Chapter  Google Scholar 

  • Goodchild, M. F. (1992). Geographical information science. International Journal of Geographical Information Systems, 6(1), 31–45.

    Article  Google Scholar 

  • Goodchild, M. F. (2001). A geographer looks at spatial information theory. Spatial information theory (Vol. 2205, pp. 1–13)., Lecture Notes in Computer Science Berlin: Springer.

    Chapter  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 

  • Holyoak, M., Casagrandi, R., Nathan, R., Revilla, E., & Spiegel, O. (2008). Trends and missing parts in the study of movement ecology. Proceedings of the National Academy of Sciences, 105(49), 19060–19065.

    Article  Google Scholar 

  • Miller, H., & Han, J. (Eds.). (2009). Geographic data mining and knowledge discovery (2nd ed.). Boca Raton, FL: CRC Press.

    Google Scholar 

  • Shamoun-Baranes, J., van Loon, E. E., Purves, R. S., Speckmann, B., Weiskopf, D., & Camphuysen, C. J. (2012). Analysis and visualization of animal movement. Biology Letters, 8(1), 6–9.

    Article  Google Scholar 

  • Walker, M. M. (1998). On a wing and a vector: A model for magnetic navigation by homing pigeons. Journal of Theoretical Biology, 192(3), 341–349.

    Article  Google Scholar 

  • Worboys, M., & Duckham, M. (2004). GIS—A computing perspective (2nd ed.). New York: CRC Press.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Patrick Laube .

Rights and permissions

Reprints and permissions

Copyright information

© 2014 The Author(s)

About this chapter

Cite this chapter

Laube, P. (2014). Introduction. In: Computational Movement Analysis. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-10268-9_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-10268-9_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10267-2

  • Online ISBN: 978-3-319-10268-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics