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The demography of disasters : impacts for population and place / / edited by Dávid Karácsonyi, Andrew Taylor, Deanne Bird
| The demography of disasters : impacts for population and place / / edited by Dávid Karácsonyi, Andrew Taylor, Deanne Bird |
| Autore | Karácsonyi Dávid |
| Edizione | [First edition, 2021.] |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (xvii, 268 pages) : colour illustrations; digital , PDF file(s) |
| Disciplina | 304.6 |
| Soggetto topico |
Demography
Human geography Climate change Statistics Population Natural disasters Natural Hazards |
| Soggetto non controllato |
Demography
Human Geography Climate Change Statistics for Social Sciences, Humanities, Law Population Economics Natural Hazards Population and Demography Environmental Sciences Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Impact of disasters Demograhic change Regional effects of disasters Population dynamics Environmental change Open access Population & demography Human geography Climate change Social research & statistics Political economy Natural disasters |
| ISBN | 3-030-49920-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part 1 People, Vulnerability and Resilience -- Demographic approaches to understanding impacts from disasters -- The four periods of natural and technological disasters -- Demographic and vulnerability aspects of affected populations and regionalization of natural hazards related with extreme rainfall events in Brazil -- Natural Disaster and Social Capital Nexus for Resilience: A study of Jeddah City, Kingdom of Saudi Arabia -- Part 2 – Migration & Relocation, Climate Change and Spatial Impacts -- Relocation of Communities after Natural Disasters in Taiwan and Japan -- Long-term mass displacements after nuclear disasters – Are they the largest emergency displacements of human history?- The demography of Climate change -- Indigenous demographic change and climate change -- Part 3 – Community Life and Recovery -- Communities in Fukushima and Chernobyl – enabling and inhibiting factors for recovery in nuclear disaster areas -- Community Life in the Aftermath of Catastrophe-Caused Demographic Change -- More than time? How Gallivare coped with the 1868 Deprivation and Katherine conceded to the 1998 Cyclone Les -- Indigenous cultural and demographic assets for managing disasters -- Part 4 – Planning for Future -- Planning for population loss -- Lifeline networks: Disruption from disasters or disasters from disruption? OR Reliance, vulnerability and disruption -- Exploring indigenous knowledge for assessing volcanic hazards and improving emergency communication -- Population urbanisation and disaster risks -- Conclusion. |
| Record Nr. | UNINA-9910420943203321 |
Karácsonyi Dávid
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Developments in demographic forecasting / / edited by Stefano Mazzuco, Nico Keilman
| Developments in demographic forecasting / / edited by Stefano Mazzuco, Nico Keilman |
| Autore | Mazzuco Stefano |
| Edizione | [First edition, 2020.] |
| Pubbl/distr/stampa | Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (viii, 258 pages) : illustrations; digital, PDF file(s) |
| Disciplina | 304.6 |
| Collana | The Springer Series on Demographic Methods and Population Analysis |
| Soggetto topico |
Demography
Statistics Statistics for Social Sciences, Humanities, Law |
| Soggetto non controllato |
Demography
Statistics for Social Sciences, Humanities, Law Population and Demography Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Population forecasting Fertility Mortality Migration Forecasting evaluation Social Media data Population statistics Population modelling Bayesian population models Open access Population & demography Social research & statistics |
| ISBN | 3-030-42472-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction -- Chapter 2. Stochastic population forecasting: A Bayesian approach based on evaluation by experts -- Chapter 3. Using expert elicitation to build long-term projection assumptions -- Chapter 4. Post-Transitional Demography and Convergence: What can we Learn from Half a Century of World Population Prospects? -- Chapter 5. Projecting Proportionate Age–Specific Fertility Rates via Bayesian Skewed Processes -- Chapter 6. A Three-component Approach to Model and Forecast Age-at-death Distributions -- Chapter 7. Alternative forecasts of Danish life expectancy -- Chapter 8. Coherent mortality forecasting with standards: low mortality serves as a guide -- Chapter 9. European mortality forecasts: Are the targets still moving? -- Chapter 10. Bayesian disaggregated forecasts: Internal migration in Iceland -- Chapter 11. Forecasting origin-destination-age-sex migration flow tables with multiplicative components -- Chapter 12. New Approaches to the Conceptualization and Measurement of Age and Ageing. |
| Record Nr. | UNINA-9910418324703321 |
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Mazzuco Stefano
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| Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Innovative Learning Environments in STEM Higher Education [[electronic resource] ] : Opportunities, Challenges, and Looking Forward / / edited by Jungwoo Ryoo, Kurt Winkelmann
| Innovative Learning Environments in STEM Higher Education [[electronic resource] ] : Opportunities, Challenges, and Looking Forward / / edited by Jungwoo Ryoo, Kurt Winkelmann |
| Autore | Ryoo Jungwoo |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (XV, 137 p. 8 illus., 7 illus. in color.) |
| Disciplina | 519.5 |
| Collana | SpringerBriefs in Statistics |
| Soggetto topico |
Statistics
Machine learning Learning Instruction Knowledge representation (Information theory) Statistics for Social Sciences, Humanities, Law Machine Learning Statistics and Computing/Statistics Programs Learning & Instruction Knowledge based Systems Educació STEM Educació superior |
| Soggetto genere / forma | Llibres electrònics |
| Soggetto non controllato |
Statistics for Social Sciences, Humanities, Law
Machine Learning Statistics and Computing/Statistics Programs Learning & Instruction Knowledge based Systems Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Statistics and Computing Education Innovative Learning Environments ILEs Science, Technology, Engineering, and Math STEM virtual reality VR augmented reality mixed reality cross reality extended reality artificial intelligence AI adaptive learning personalized learning higher education multimodal learning mobile learning Open Access Social research & statistics Mathematical & statistical software Teaching skills & techniques Cognition & cognitive psychology Expert systems / knowledge-based systems |
| ISBN | 3-030-58948-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction -- 2. X-FILEs Vision for personalized and Adaptive Learning -- 3. X-FILEs Vision for Multi-modal Learning Formats -- 4. X-FILEs Vision for Extended/Cross Reality (XR) -- 5. X-FILEs Vision for Artificial Intelligence (AI) and Machine Learning (ML) -- 6. Cross-Cutting Concerns -- 7. Epilogue. |
| Record Nr. | UNISA-996466564503316 |
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Ryoo Jungwoo
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Innovative Learning Environments in STEM Higher Education [[electronic resource] ] : Opportunities, Challenges, and Looking Forward / / edited by Jungwoo Ryoo, Kurt Winkelmann
| Innovative Learning Environments in STEM Higher Education [[electronic resource] ] : Opportunities, Challenges, and Looking Forward / / edited by Jungwoo Ryoo, Kurt Winkelmann |
| Autore | Ryoo Jungwoo |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (XV, 137 p. 8 illus., 7 illus. in color.) |
| Disciplina | 519.5 |
| Collana | SpringerBriefs in Statistics |
| Soggetto topico |
Statistics
Machine learning Learning Instruction Knowledge representation (Information theory) Statistics for Social Sciences, Humanities, Law Machine Learning Statistics and Computing/Statistics Programs Learning & Instruction Knowledge based Systems Educació STEM Educació superior |
| Soggetto genere / forma | Llibres electrònics |
| Soggetto non controllato |
Statistics for Social Sciences, Humanities, Law
Machine Learning Statistics and Computing/Statistics Programs Learning & Instruction Knowledge based Systems Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Statistics and Computing Education Innovative Learning Environments ILEs Science, Technology, Engineering, and Math STEM virtual reality VR augmented reality mixed reality cross reality extended reality artificial intelligence AI adaptive learning personalized learning higher education multimodal learning mobile learning Open Access Social research & statistics Mathematical & statistical software Teaching skills & techniques Cognition & cognitive psychology Expert systems / knowledge-based systems |
| ISBN | 3-030-58948-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction -- 2. X-FILEs Vision for personalized and Adaptive Learning -- 3. X-FILEs Vision for Multi-modal Learning Formats -- 4. X-FILEs Vision for Extended/Cross Reality (XR) -- 5. X-FILEs Vision for Artificial Intelligence (AI) and Machine Learning (ML) -- 6. Cross-Cutting Concerns -- 7. Epilogue. |
| Record Nr. | UNINA-9910473457603321 |
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Ryoo Jungwoo
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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