GLORIA

GEOMAR Library Ocean Research Information Access

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    Cham :Springer International Publishing AG,
    Keywords: Sociology, Military -- Mathematical models. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (82 pages)
    Edition: 1st ed.
    ISBN: 9783319010380
    Series Statement: SpringerBriefs in Applied Sciences and Technology Series
    Language: English
    Note: Intro -- Foreword -- Contents -- 1 Conflict Data Sets and Point Patterns -- 1.1 Conflict Data -- 1.2 Abstracting Conflicts: Micro- and Macro-Scale Modeling -- 1.3 Spatio-Temporal Modeling in Practice -- 1.4 Quantifying Uncertainty: The Bayesian Way -- 1.5 Conclusion -- References -- 2 Theory -- 2.1 Point Processes -- 2.1.1 Random Point Patterns and the Poisson Process -- 2.1.2 The Cox Process -- 2.1.3 The Poisson Process Likelihood Function -- 2.2 Spatio-Temporal Dynamic Models -- 2.2.1 Partial Differential Equations and Their Stochastic Counterpart -- 2.2.2 Integro-Difference Equation Models -- 2.2.3 Dimensionality Reduction in Spatio-Temporal Models -- 2.3 Smoothing and Approximate Inference -- 2.3.1 State Estimation -- 2.3.2 Filtering and Smoothing -- 2.3.3 The VBEM Algorithm -- 2.4 Implementation Tools -- 2.4.1 Non-Parametric Description of Point Patterns -- 2.4.2 Basis Selection from Point-Process Observations -- 2.4.3 Approximate Inference from Point Observations -- 2.4.4 VB-Laplace Inference from Point-Process Observations -- 2.5 Conclusion -- References -- 3 Modeling and Prediction in Conflict: Afghanistan -- 3.1 Background to the Afghan Conflict -- 3.2 The WikiLeaks Afghan War Diary -- 3.3 Exploratory Study -- 3.3.1 Consistency with Other Data Sets -- 3.3.2 Non-Parametric Analysis and Model Construction -- 3.3.3 Adding Spatial Fixed Effects -- 3.4 Results -- 3.4.1 Conflict Intensity and Fixed Effects -- 3.4.2 Escalation and Volatility -- 3.4.3 Prediction -- 3.5 Conclusion -- References -- Epilogue -- Appendix A VB-Laplace Inference for the AWD -- Index.
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    Publication Date: 2016-08-15
    Description: We present spatiotemporal mass balance trends for the Antarctic Ice Sheet from a statistical inversion of satellite altimetry, gravimetry, and elastic-corrected GPS data for the period 2003–2013. Our method simultaneously determines annual trends in ice dynamics, surface mass balance anomalies, and a time-invariant solution for glacio-isostatic adjustment while remaining largely independent of forward models. We establish that over the period 2003–2013, Antarctica has been losing mass at a rate of −84 ± 22 Gt yr−1, with a sustained negative mean trend of dynamic imbalance of −111 ± 13 Gt yr−1. West Antarctica is the largest contributor with −112 ± 10 Gt yr−1, mainly triggered by high thinning rates of glaciers draining into the Amundsen Sea Embayment. The Antarctic Peninsula has experienced a dramatic increase in mass loss in the last decade, with a mean rate of −28 ± 7 Gt yr−1 and significantly higher values for the most recent years following the destabilization of the Southern Antarctic Peninsula around 2010. The total mass loss is partly compensated by a significant mass gain of 56 ± 18 Gt yr−1 in East Antarctica due to a positive trend of surface mass balance anomalies.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...