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1. |
Record Nr. |
UNINA9910451637703321 |
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Titolo |
The security of the Persian Gulf / / edited by Hossein Amirsadeghi |
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Pubbl/distr/stampa |
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London : , : Routledge, , 2011 |
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ISBN |
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1-280-67005-3 |
9786613646989 |
1-136-83455-9 |
0-203-83218-3 |
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Descrizione fisica |
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1 online resource (315 p.) |
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Collana |
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Routledge library editions. Iran ; ; v. 26 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Security, International - Persian Gulf Region |
Electronic books. |
Persian Gulf Region Politics and government |
Persian Gulf Region Strategic aspects |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Cover; The security of the persian gulf; Copyright; Contents; Figures and tables; Acknowledgements; Editor's preface; Maps; Introduction; 1. The Gulf Region in the Global Setting; 2. The Strategic Balance and the Control of the Persian Gulf; 3. The Soviet Union and the Persian Gulf; 4. The United States-Iranian Relationship 1948-1978: a Study in Reverse Influence; 5. Persian Gulf Nuclearisation: Prospects and Implications; 6. The Iranian Military: Political Symbolism Versus Mili-tary Usefulness Steven L. Canby; 7. Arms Transfers, Indigenous Defence Production and Dependency: the Case of Iran |
8. Saudi Arabia and Iran: the Twin Pillars in Revolutionary Times9. The Persian Gulf in Regional and International Politics: the Arab Side of the Gulf; 10. Iraq: Emergent Gulf Power; 11. The Iranian Revolution: Triumph or Tragedy?; 12. Revolution and Energy Policy in Iran: International and Domestic Implications; Bibliography; Notes on Contributors; Index |
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Sommario/riassunto |
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The Persian Gulf, important because of its vast energy resources, emerged into the limelight of geopolitics at the time of the British Labour government's policy of withdrawal from East of Suez in 1968. |
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Before 1968 it had been recognised that the Gulf lay in the legitimate sphere of influence of Britain, while the United States exerted its influence in the two pivotal littoral states of Iran and Saudi Arabia. The Soviets had been gaining influence in Iraq ever since the overthrow of the monarchy in 1958 and the Chinese were also fishing for influence by their support of the Popular Front fo |
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2. |
Record Nr. |
UNINA9910779568203321 |
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Autore |
Wildi Otto |
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Titolo |
Data Analysis in Vegetation Ecology [[electronic resource]] |
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Pubbl/distr/stampa |
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ISBN |
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1-118-56252-6 |
1-299-46461-0 |
1-118-56253-4 |
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Edizione |
[2nd ed.] |
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Descrizione fisica |
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1 online resource (332 p.) |
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Disciplina |
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Soggetti |
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Plant communities -- Data processing |
Plant communities -- Mathematical models |
Plant ecology -- Data processing |
Plant ecology -- Mathematical models |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di contenuto |
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Cover; Title Page; Copyright; Contents; Preface to the second edition; Preface to the first edition; List of figures; List of tables; About the companion website; Chapter 1 Introduction; Chapter 2 Patterns in vegetation ecology; 2.1 Pattern recognition; 2.2 Interpretation of patterns; 2.3 Sampling for pattern recognition; 2.3.1 Getting a sample; 2.3.2 Organizing the data; 2.4 Pattern recognition in R; Chapter 3 Transformation; 3.1 Data types; 3.2 Scalar transformation and the species enigma; 3.3 Vector transformation; 3.4 Example: Transformation of plant cover data |
Chapter 4 Multivariate comparison4.1 Resemblance in multivariate space; 4.2 Geometric approach; 4.3 Contingency measures; 4.4 Product |
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moments; 4.5 The resemblance matrix; 4.6 Assessing the quality of classifications; Chapter 5 Classification; 5.1 Group structures; 5.2 Linkage clustering; 5.3 Average linkage clustering; 5.4 Minimum-variance clustering; 5.5 Forming groups; 5.6 Silhouette plot and fuzzy representation; Chapter 6 Ordination; 6.1 Why ordination?; 6.2 Principal component analysis; 6.3 Principal coordinates analysis; 6.4 Correspondence analysis; 6.5 Heuristic ordination |
6.5.1 The horseshoe or arch effect6.5.2 Flexible shortest path adjustment; 6.5.3 Nonmetric multidimensional scaling; 6.5.4 Detrended correspondence analysis; 6.6 How to interpret ordinations; 6.7 Ranking by orthogonal components; 6.7.1 RANK method; 6.7.2 A sampling design based on RANK (example); Chapter 7 Ecological patterns; 7.1 Pattern and ecological response; 7.2 Evaluating groups; 7.2.1 Variance testing; 7.2.2 Variance ranking; 7.2.3 Ranking by indicator values; 7.2.4 Contingency tables; 7.3 Correlating spaces; 7.3.1 The Mantel test; 7.3.2 Correlograms |
7.3.3 More trends: `Schlaenggli' data revisited7.4 Multivariate linear models; 7.4.1 Constrained ordination; 7.4.2 Nonparametric multiple analysis of variance; 7.5 Synoptic vegetation tables; 7.5.1 The aim of ordering tables; 7.5.2 Steps involved in sorting tables; 7.5.3 Example: ordering Ellenberg's data; Chapter 8 Static predictive modelling; 8.1 Predictive or explanatory?; 8.2 Evaluating environmental predictors; 8.3 Generalized linear models; 8.4 Generalized additive models; 8.5 Classification and regression trees; 8.6 Building scenarios; 8.7 Modelling vegetation types |
8.8 Expected wetland vegetation (example)Chapter 9 Vegetation change in time; 9.1 Coping with time; 9.2 Temporal autocorrelation; 9.3 Rate of change and trend; 9.4 Markov models; 9.5 Space-for-time substitution; 9.5.1 Principle and method; 9.5.2 The Swiss National Park succession (example); 9.6 Dynamics in pollen diagrams (example); Chapter 10 Dynamic modelling; 10.1 Simulating time processes; 10.2 Simulating space processes; 10.3 Processes in the Swiss National Park; 10.3.1 The temporal model; 10.3.2 The spatial model; Chapter 11 Large data sets: wetland patterns; 11.1 Large data sets differ |
11.2 Phytosociology revisited |
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Sommario/riassunto |
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The first edition of Data Analysis in Vegetation Ecology provided an accessible and thorough resource for evaluating plant ecology data, based on the author's extensive experience of research and analysis in this field. Now, the Second Edition expands on this by not only describing how to analyse data, but also enabling readers to follow the step-by-step case studies themselves using the freely available statistical package R. The addition of R in this new edition has allowed coverage of additional methods for classification and ordination, and also logistic regression, GLM |
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