Skip to main content

Modeling Uncertainty for Change Analysis

  • Chapter
  • First Online:
Geoinformation from the Past
  • 358 Accesses

Abstract

Uncertainty is inherent to all data, experiments, and measurements. This holds also true for observations conducted using the most precise instrument as well as at the smallest, subatomic scale. The latter is known as the Principle of Uncertainty of quantum mechanics formulated by Werner Heisenberg (Heisenberg, 1927; for English, cf. Heisenberg, 1949, pp. 20-22). To the current state of knowledge, this fundamental physical principle defines by its nature the ultimate limit of human cognitive faculty.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hendrik Herold .

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Fachmedien Wiesbaden GmbH

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Herold, H. (2018). Modeling Uncertainty for Change Analysis. In: Geoinformation from the Past. Springer Spektrum, Wiesbaden. https://doi.org/10.1007/978-3-658-20570-6_5

Download citation

Publish with us

Policies and ethics