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Biblioteca

MARC Lista (tabellare)
2018 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology : 18-19 September 2018, Jakarta, Indonesia / / Institute of Electrical and Electronics Engineers
2018 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology : 18-19 September 2018, Jakarta, Indonesia / / Institute of Electrical and Electronics Engineers
Pubbl/distr/stampa Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018
Descrizione fisica 1 online resource (18 pages)
Disciplina 550.285
Soggetto topico Geology - Data processing
Remote sensing - Data processing
Electronics
ISBN 1-5386-7777-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996280058203316
Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
2018 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology : 18-19 September 2018, Jakarta, Indonesia / / Institute of Electrical and Electronics Engineers
2018 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology : 18-19 September 2018, Jakarta, Indonesia / / Institute of Electrical and Electronics Engineers
Pubbl/distr/stampa Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018
Descrizione fisica 1 online resource (18 pages)
Disciplina 550.285
Soggetto topico Geology - Data processing
Remote sensing - Data processing
Electronics
ISBN 1-5386-7777-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910295816803321
Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
4003-2021 : IEEE Standard for Spaceborne Global Navigation Satellite System-Reflectometry (GNSS-R) Data and Metadata Content / / Institute of Electrical and Electronics Engineers
4003-2021 : IEEE Standard for Spaceborne Global Navigation Satellite System-Reflectometry (GNSS-R) Data and Metadata Content / / Institute of Electrical and Electronics Engineers
Pubbl/distr/stampa New York, NY, USA : , : IEEE, , 2021
Descrizione fisica 1 online resource (27 pages)
Disciplina 910.285
Soggetto topico Global Positioning System
Reflectometer
Remote sensing - Data processing
Speech processing systems
ISBN 1-5044-7994-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti 4003-2021 - IEEE Standard for Spaceborne Global Navigation Satellite System-Reflectometry
Record Nr. UNINA-9910503501403321
New York, NY, USA : , : IEEE, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
4003-2021 : IEEE Standard for Spaceborne Global Navigation Satellite System-Reflectometry (GNSS-R) Data and Metadata Content / / Institute of Electrical and Electronics Engineers
4003-2021 : IEEE Standard for Spaceborne Global Navigation Satellite System-Reflectometry (GNSS-R) Data and Metadata Content / / Institute of Electrical and Electronics Engineers
Pubbl/distr/stampa New York, NY, USA : , : IEEE, , 2021
Descrizione fisica 1 online resource (27 pages)
Disciplina 910.285
Soggetto topico Global Positioning System
Reflectometer
Remote sensing - Data processing
Speech processing systems
ISBN 1-5044-7994-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti 4003-2021 - IEEE Standard for Spaceborne Global Navigation Satellite System-Reflectometry
Record Nr. UNISA-996575059403316
New York, NY, USA : , : IEEE, , 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Actual evapotranspiration modeling using the operational Simplified Surface Energy Balance (SSEBop) approach / / by Mark E. Savoca [and four others]
Actual evapotranspiration modeling using the operational Simplified Surface Energy Balance (SSEBop) approach / / by Mark E. Savoca [and four others]
Autore Savoca Mark E.
Pubbl/distr/stampa Reston, Virginia : , : U.S. Department of the Interior, U.S. Geological Survey, , 2013
Descrizione fisica 1 online resource (iv, 15 pages) : color illustrations
Collana Scientific investigations report
Soggetto topico Evapotranspiration - Measurement
Remote sensing - Data processing
Water in agriculture
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Actual evapotranspiration modeling using the operational Simplified Surface Energy Balance
Record Nr. UNINA-9910704894403321
Savoca Mark E.  
Reston, Virginia : , : U.S. Department of the Interior, U.S. Geological Survey, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Multi-Sensor Information Fusion : Theory and Applications 2017 / / Xue-Bo Jin [and three others]
Advances in Multi-Sensor Information Fusion : Theory and Applications 2017 / / Xue-Bo Jin [and three others]
Autore Jin Xue-Bo
Pubbl/distr/stampa Basel, Switzerland : , : MDPI, , 2018
Descrizione fisica 1 online resource (vii, 558 pages) : illustrations
Disciplina 621.3678
Soggetto topico Remote sensing - Data processing
ISBN 3-03842-934-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Advances in Multi-Sensor Information Fusion
Record Nr. UNINA-9910688458303321
Jin Xue-Bo  
Basel, Switzerland : , : MDPI, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Analyzing the large numbers of variables in biomedical and satellite imagery [[electronic resource] /] / Phillip I. Good
Analyzing the large numbers of variables in biomedical and satellite imagery [[electronic resource] /] / Phillip I. Good
Autore Good Phillip I
Pubbl/distr/stampa Hoboken, N.J., : Wiley, c2011
Descrizione fisica xii, 185 p. : ill
Disciplina 006.3/12
Soggetto topico Data mining
Mathematical statistics
Biomedical engineering - Data processing
Remote sensing - Data processing
Functions of several complex variables
R (Computer program language)
ISBN 1-283-13877-8
0-470-93725-4
9786613138774
0-470-93727-0
1-118-00214-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto ; Machine generated contents note: ; 1. Very Large Arrays -- ; 1.1. Applications -- ; 1.2. Problems -- ; 1.3. Solutions -- ; 2. Permutation Tests -- ; 2.1. Two-Sample Comparison -- ; 2.1.1. Blocks -- ; 2.2. k-Sample Comparison -- ; 2.3. Computing The p-Value -- ; 2.3.1. Monte Carlo Method -- ; 2.3.2. An R Program -- ; 2.4. Multiple-Variable Comparisons -- ; 2.4.1. Euclidean Distance Matrix Analysis -- ; 2.4.2. Hotelling's T2 -- ; 2.4.3. Mantel's U -- ; 2.4.4. Combining Univariate Tests -- ; 2.4.5. Gene Set Enrichment Analysis -- ; 2.5. Categorical Data -- ; 2.6. Software -- ; 2.7. Summary -- ; 3. Applying the Permutation Test -- ; 3.1. Which Variables Should Be Included? -- ; 3.2. Single-Value Test Statistics -- ; 3.2.1. Categorical Data -- ; 3.2.2. A Multivariate Comparison Based on a Summary Statistic -- ; 3.2.3. A Multivariate Comparison Based on Variants of Hotelling's T2
; 3.2.4. Adjusting for Covariates -- ; 3.2.5. Pre-Post Comparisons -- ; 3.2.6. Choosing a Statistic: Time-Course Microarrays -- ; 3.3. Recommended Approaches -- ; 3.4. To Learn More -- ; 4. Biological Background -- ; 4.1. Medical Imaging -- ; 4.1.1. Ultrasound -- ; 4.1.2. EEG/MEG -- ; 4.1.3. Magnetic Resonance Imaging -- ; 4.1.3.1. MRI -- ; 4.1.3.2. fMRI -- ; 4.1.4. Positron Emission Tomography -- ; 4.2. Microarrays -- ; 4.3. To Learn More -- ; 5. Multiple Tests -- ; 5.1. Reducing the Number of Hypotheses to Be Tested -- ; 5.1.1. Normalization -- ; 5.1.2. Selection Methods -- ; 5.1.2.1. Univariate Statistics -- ; 5.1.2.2. Which Statistic? -- ; 5.1.2.3. Heuristic Methods -- ; 5.1.2.4. Which Method? -- ; 5.2. Controlling the Over All Error Rate -- ; 5.2.1. An Example: Analyzing Data from Microarrays -- ; 5.3. Controlling the False Discovery Rate -- ; 5.3.1. An Example: Analyzing Time-Course Data from Microarrays -- ; 5.4. Gene Set Enrichment Analysis
; 5.5. Software for Performing Multiple Simultaneous Tests -- ; 5.5.1. AFNI -- ; 5.5.2. Cyber-T -- ; 5.5.3. dChip -- ; 5.5.4. ExactFDR -- ; 5.5.5. GESS -- ; 5.5.6. HaploView -- ; 5.5.7. MatLab -- ; 5.5.8. R -- ; 5.5.9. SAM -- ; 5.5.10. ParaSam -- ; 5.6. Summary -- ; 5.7. To Learn More -- ; 6. The Bootstrap -- ; 6.1. Samples and Populations -- ; 6.2. Precision of an Estimate -- ; 6.2.1. R Code -- ; 6.2.2. Applying the Bootstrap -- ; 6.2.3. Bootstrap Reproducibility Index -- ; 6.2.4. Estimation in Regression Models -- ; 6.3. Confidence Intervals -- ; 6.3.1. Testing for Equivalence -- ; 6.3.2. Parametric Bootstrap -- ; 6.3.3. Blocked Bootstrap -- ; 6.3.4. Balanced Bootstrap -- ; 6.3.5. Adjusted Bootstrap -- ; 6.3.6. Which Test? -- ; 6.4. Determining Sample Size -- ; 6.4.1. Establish a Threshold -- ; 6.5. Validation -- ; 6.5.1. Cluster Analysis -- ; 6.5.2. Correspondence Analysis -- ; 6.6. Building a Model -- ; 6.7. How Large Should The Samples Be?
; 6.8. Summary -- ; 6.9. To Learn More -- ; 7. Classification Methods -- ; 7.1. Nearest Neighbor Methods -- ; 7.2. Discriminant Analysis -- ; 7.3. Logistic Regression -- ; 7.4. Principal Components -- ; 7.5. Naive Bayes Classifier -- ; 7.6. Heuristic Methods -- ; 7.7. Decision Trees -- ; 7.7.1. A Worked-Through Example -- ; 7.8. Which Algorithm Is Best for Your Application? -- ; 7.8.1. Some Further Comparisons -- ; 7.8.2. Validation Versus Cross-validation -- ; 7.9. Improving Diagnostic Effectiveness -- ; 7.9.1. Boosting -- ; 7.9.2. Ensemble Methods -- ; 7.9.3. Random Forests -- ; 7.10. Software for Decision Trees -- ; 7.11. Summary -- ; 8. Applying Decision Trees -- ; 8.1. Photographs -- ; 8.2. Ultrasound -- ; 8.3. MRI Images -- ; 8.4. EEGs and EMGs -- ; 8.5. Misclassification Costs -- ; 8.6. Receiver Operating Characteristic -- ; 8.7. When the Categories Are As Yet Undefined -- ; 8.7.1. Unsupervised Principal Components Applied to fMRI
; 8.7.2. Supervised Principal Components Applied to Microarrays -- ; 8.8. Ensemble Methods -- ; 8.9. Maximally Diversified Multiple Trees -- ; 8.10. Putting It All Together -- ; 8.11. Summary -- ; 8.12. To Learn More -- Glossary of Biomedical Terminology -- Glossary of Statistical Terminology -- Appendix: An R Primer -- ; R1. Getting Started -- ; R1.1. R Functions -- ; R1.2. Vector Arithmetic -- ; R2. Store and Retrieve Data -- ; R2.1. Storing and Retrieving Files from Within R -- ; R2.2. The Tabular Format -- ; R2.3. Comma Separated Format -- ; R3. Resampling -- ; R3.1. The While Command -- ; R4. Expanding R's Capabilities -- ; R4.1. Downloading Libraries of R Functions -- ; R4.2. Programming Your Own Functions.
Record Nr. UNINA-9910208830603321
Good Phillip I  
Hoboken, N.J., : Wiley, c2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Analyzing the large numbers of variables in biomedical and satellite imagery / / Phillip I. Good
Analyzing the large numbers of variables in biomedical and satellite imagery / / Phillip I. Good
Autore Good Phillip I
Edizione [1st ed.]
Pubbl/distr/stampa Hoboken, N.J., : Wiley, c2011
Descrizione fisica xii, 185 p. : ill
Disciplina 006.3/12
Soggetto topico Data mining
Mathematical statistics
Biomedical engineering - Data processing
Remote sensing - Data processing
Functions of several complex variables
R (Computer program language)
ISBN 1-283-13877-8
0-470-93725-4
9786613138774
0-470-93727-0
1-118-00214-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto ; Machine generated contents note: ; 1. Very Large Arrays -- ; 1.1. Applications -- ; 1.2. Problems -- ; 1.3. Solutions -- ; 2. Permutation Tests -- ; 2.1. Two-Sample Comparison -- ; 2.1.1. Blocks -- ; 2.2. k-Sample Comparison -- ; 2.3. Computing The p-Value -- ; 2.3.1. Monte Carlo Method -- ; 2.3.2. An R Program -- ; 2.4. Multiple-Variable Comparisons -- ; 2.4.1. Euclidean Distance Matrix Analysis -- ; 2.4.2. Hotelling's T2 -- ; 2.4.3. Mantel's U -- ; 2.4.4. Combining Univariate Tests -- ; 2.4.5. Gene Set Enrichment Analysis -- ; 2.5. Categorical Data -- ; 2.6. Software -- ; 2.7. Summary -- ; 3. Applying the Permutation Test -- ; 3.1. Which Variables Should Be Included? -- ; 3.2. Single-Value Test Statistics -- ; 3.2.1. Categorical Data -- ; 3.2.2. A Multivariate Comparison Based on a Summary Statistic -- ; 3.2.3. A Multivariate Comparison Based on Variants of Hotelling's T2
; 3.2.4. Adjusting for Covariates -- ; 3.2.5. Pre-Post Comparisons -- ; 3.2.6. Choosing a Statistic: Time-Course Microarrays -- ; 3.3. Recommended Approaches -- ; 3.4. To Learn More -- ; 4. Biological Background -- ; 4.1. Medical Imaging -- ; 4.1.1. Ultrasound -- ; 4.1.2. EEG/MEG -- ; 4.1.3. Magnetic Resonance Imaging -- ; 4.1.3.1. MRI -- ; 4.1.3.2. fMRI -- ; 4.1.4. Positron Emission Tomography -- ; 4.2. Microarrays -- ; 4.3. To Learn More -- ; 5. Multiple Tests -- ; 5.1. Reducing the Number of Hypotheses to Be Tested -- ; 5.1.1. Normalization -- ; 5.1.2. Selection Methods -- ; 5.1.2.1. Univariate Statistics -- ; 5.1.2.2. Which Statistic? -- ; 5.1.2.3. Heuristic Methods -- ; 5.1.2.4. Which Method? -- ; 5.2. Controlling the Over All Error Rate -- ; 5.2.1. An Example: Analyzing Data from Microarrays -- ; 5.3. Controlling the False Discovery Rate -- ; 5.3.1. An Example: Analyzing Time-Course Data from Microarrays -- ; 5.4. Gene Set Enrichment Analysis
; 5.5. Software for Performing Multiple Simultaneous Tests -- ; 5.5.1. AFNI -- ; 5.5.2. Cyber-T -- ; 5.5.3. dChip -- ; 5.5.4. ExactFDR -- ; 5.5.5. GESS -- ; 5.5.6. HaploView -- ; 5.5.7. MatLab -- ; 5.5.8. R -- ; 5.5.9. SAM -- ; 5.5.10. ParaSam -- ; 5.6. Summary -- ; 5.7. To Learn More -- ; 6. The Bootstrap -- ; 6.1. Samples and Populations -- ; 6.2. Precision of an Estimate -- ; 6.2.1. R Code -- ; 6.2.2. Applying the Bootstrap -- ; 6.2.3. Bootstrap Reproducibility Index -- ; 6.2.4. Estimation in Regression Models -- ; 6.3. Confidence Intervals -- ; 6.3.1. Testing for Equivalence -- ; 6.3.2. Parametric Bootstrap -- ; 6.3.3. Blocked Bootstrap -- ; 6.3.4. Balanced Bootstrap -- ; 6.3.5. Adjusted Bootstrap -- ; 6.3.6. Which Test? -- ; 6.4. Determining Sample Size -- ; 6.4.1. Establish a Threshold -- ; 6.5. Validation -- ; 6.5.1. Cluster Analysis -- ; 6.5.2. Correspondence Analysis -- ; 6.6. Building a Model -- ; 6.7. How Large Should The Samples Be?
; 6.8. Summary -- ; 6.9. To Learn More -- ; 7. Classification Methods -- ; 7.1. Nearest Neighbor Methods -- ; 7.2. Discriminant Analysis -- ; 7.3. Logistic Regression -- ; 7.4. Principal Components -- ; 7.5. Naive Bayes Classifier -- ; 7.6. Heuristic Methods -- ; 7.7. Decision Trees -- ; 7.7.1. A Worked-Through Example -- ; 7.8. Which Algorithm Is Best for Your Application? -- ; 7.8.1. Some Further Comparisons -- ; 7.8.2. Validation Versus Cross-validation -- ; 7.9. Improving Diagnostic Effectiveness -- ; 7.9.1. Boosting -- ; 7.9.2. Ensemble Methods -- ; 7.9.3. Random Forests -- ; 7.10. Software for Decision Trees -- ; 7.11. Summary -- ; 8. Applying Decision Trees -- ; 8.1. Photographs -- ; 8.2. Ultrasound -- ; 8.3. MRI Images -- ; 8.4. EEGs and EMGs -- ; 8.5. Misclassification Costs -- ; 8.6. Receiver Operating Characteristic -- ; 8.7. When the Categories Are As Yet Undefined -- ; 8.7.1. Unsupervised Principal Components Applied to fMRI
; 8.7.2. Supervised Principal Components Applied to Microarrays -- ; 8.8. Ensemble Methods -- ; 8.9. Maximally Diversified Multiple Trees -- ; 8.10. Putting It All Together -- ; 8.11. Summary -- ; 8.12. To Learn More -- Glossary of Biomedical Terminology -- Glossary of Statistical Terminology -- Appendix: An R Primer -- ; R1. Getting Started -- ; R1.1. R Functions -- ; R1.2. Vector Arithmetic -- ; R2. Store and Retrieve Data -- ; R2.1. Storing and Retrieving Files from Within R -- ; R2.2. The Tabular Format -- ; R2.3. Comma Separated Format -- ; R3. Resampling -- ; R3.1. The While Command -- ; R4. Expanding R's Capabilities -- ; R4.1. Downloading Libraries of R Functions -- ; R4.2. Programming Your Own Functions.
Record Nr. UNINA-9910825098303321
Good Phillip I  
Hoboken, N.J., : Wiley, c2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Assessment of the usefulness and availability of NASA's earth and space science mission data [[electronic resource] /] / Task Group on the Usefulness and Availability of NASA's Space Mission Data, Space Studies Board, Division on Engineering and Physical Sciences, Board on Earth Science and Resources, Division on Earth and Life Studies, National Research Council
Assessment of the usefulness and availability of NASA's earth and space science mission data [[electronic resource] /] / Task Group on the Usefulness and Availability of NASA's Space Mission Data, Space Studies Board, Division on Engineering and Physical Sciences, Board on Earth Science and Resources, Division on Earth and Life Studies, National Research Council
Pubbl/distr/stampa Washington, D.C., : National Academy Press, c2002
Descrizione fisica 1 online resource (112 p.)
Disciplina 621.3678
Soggetto topico Earth sciences - Data processing
Space sciences - Data processing
Remote sensing - Data processing
Soggetto genere / forma Electronic books.
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto ""Assessment of the Usefulness and Availability of NASA�s Earth and Space Science Mission Data""; ""Copyright""; ""Preface""; ""Acknowledgment of Reviewers""; ""Contents""; ""Executive Summary""; ""AVAILABILITY AND USEFULNESS OF NASA�S SPACE MISSION DATA""; ""MANAGEMENT OF DATA WITHIN NASA""; ""INVESTMENTS IN SOFTWARE AND DATA ANALYSIS""; ""LONG-TERM MAINTENANCE OF DATA""; ""FEDERATED DATA SYSTEMS""; ""EARTH SCIENCES DATA SYSTEM""; ""USERS OF NASA DATA""; ""STRATEGIES FOR MEETING THE REQUIREMENTS OF THERESEARCH COMMUNITY""; ""1 NASA: A Knowledge Agency""; ""INTRODUCTION""
""SPACE SCIENCE ENTERPRISE""""Astrophysics: Origins and the Structure and Evolution of the Universe""; ""The Sun-Earth Connection""; ""Solar System Exploration""; ""EARTH SCIENCE ENTERPRISE""; ""THE CHANGING PARADIGM FOR NASA""; ""2 Accessibility of Data: The Architectureof the Archives""; ""SPACE SCIENCE DATA SYSTEMS""; ""Astrophysics Data Systems""; ""Planetary Data Systems""; ""Solar and Space Physics Data Systems""; ""Solar Data Analysis Center""; ""Space Plasma Physics""; ""EARTH OBSERVING SYSTEM DATA AND INFORMATION SYSTEM""; ""STRATEGIC EVOLUTION OF ESE DATA SYSTEMS""
""LONG-TERM MAINTENANCE OF DATA""""Space Science Data and the National Space Science Data Center""; ""Earth Science Data""; ""Conclusions""; ""3 The Users of NASA Data""; ""USER PROFILE""; ""AVAILABILITY OF EARTH AND SPACE SCIENCE DATA""; ""SCIENTIFIC COMMUNITY USERS""; ""NONSCIENTIST USERS""; ""Education Community""; ""Formal Education""; ""Informal Education""; ""Usefulness of Data to the Education Community""; ""Online Outreach""; ""News Media""; ""Commercial Users and Decision Makers""; ""CONCLUSIONS""; ""4 Strategies for Managing Earth andSpace Science Data""
""A COMPREHENSIVE APPROACH TO INFORMATION MANAGEMENT""""ISSUES OF BALANCE: ACQUISITION, ANALYSIS, AND ARCHIVING""; ""Data Analysis Funding""; ""Timeliness of Data Analysis""; ""FEDERATED DATABASES""; ""The National Virtual Observatory""; ""Planetary Data System""; ""Federation of Earth Science Information Partners""; ""ELEMENTS OF EFFECTIVE DATA MANAGEMENT""; ""Appendixes""; ""Appendix A Letter of Request""; ""Appendix B The Data Life Cycle""; ""Appendix C Questionnaire to the Active Archives, Data Centers,and Data Services""
""Information Requested from the Space Science and Earth Science Facilities""""Additional Information Requested of the Space Science Active Facilities""; ""Additional Information Requested of the Distributed Active Archive Centers""; ""Appendix D Biographies of Task Group Members""; ""Appendix E Meeting Agendas""; ""Appendix F Acronyms""
Record Nr. UNINA-9910451498403321
Washington, D.C., : National Academy Press, c2002
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Assessment of the usefulness and availability of NASA's earth and space science mission data [[electronic resource] /] / Task Group on the Usefulness and Availability of NASA's Space Mission Data, Space Studies Board, Division on Engineering and Physical Sciences, Board on Earth Science and Resources, Division on Earth and Life Studies, National Research Council
Assessment of the usefulness and availability of NASA's earth and space science mission data [[electronic resource] /] / Task Group on the Usefulness and Availability of NASA's Space Mission Data, Space Studies Board, Division on Engineering and Physical Sciences, Board on Earth Science and Resources, Division on Earth and Life Studies, National Research Council
Pubbl/distr/stampa Washington, D.C., : National Academy Press, c2002
Descrizione fisica 1 online resource (112 p.)
Disciplina 621.3678
Soggetto topico Earth sciences - Data processing
Space sciences - Data processing
Remote sensing - Data processing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto ""Assessment of the Usefulness and Availability of NASA�s Earth and Space Science Mission Data""; ""Copyright""; ""Preface""; ""Acknowledgment of Reviewers""; ""Contents""; ""Executive Summary""; ""AVAILABILITY AND USEFULNESS OF NASA�S SPACE MISSION DATA""; ""MANAGEMENT OF DATA WITHIN NASA""; ""INVESTMENTS IN SOFTWARE AND DATA ANALYSIS""; ""LONG-TERM MAINTENANCE OF DATA""; ""FEDERATED DATA SYSTEMS""; ""EARTH SCIENCES DATA SYSTEM""; ""USERS OF NASA DATA""; ""STRATEGIES FOR MEETING THE REQUIREMENTS OF THERESEARCH COMMUNITY""; ""1 NASA: A Knowledge Agency""; ""INTRODUCTION""
""SPACE SCIENCE ENTERPRISE""""Astrophysics: Origins and the Structure and Evolution of the Universe""; ""The Sun-Earth Connection""; ""Solar System Exploration""; ""EARTH SCIENCE ENTERPRISE""; ""THE CHANGING PARADIGM FOR NASA""; ""2 Accessibility of Data: The Architectureof the Archives""; ""SPACE SCIENCE DATA SYSTEMS""; ""Astrophysics Data Systems""; ""Planetary Data Systems""; ""Solar and Space Physics Data Systems""; ""Solar Data Analysis Center""; ""Space Plasma Physics""; ""EARTH OBSERVING SYSTEM DATA AND INFORMATION SYSTEM""; ""STRATEGIC EVOLUTION OF ESE DATA SYSTEMS""
""LONG-TERM MAINTENANCE OF DATA""""Space Science Data and the National Space Science Data Center""; ""Earth Science Data""; ""Conclusions""; ""3 The Users of NASA Data""; ""USER PROFILE""; ""AVAILABILITY OF EARTH AND SPACE SCIENCE DATA""; ""SCIENTIFIC COMMUNITY USERS""; ""NONSCIENTIST USERS""; ""Education Community""; ""Formal Education""; ""Informal Education""; ""Usefulness of Data to the Education Community""; ""Online Outreach""; ""News Media""; ""Commercial Users and Decision Makers""; ""CONCLUSIONS""; ""4 Strategies for Managing Earth andSpace Science Data""
""A COMPREHENSIVE APPROACH TO INFORMATION MANAGEMENT""""ISSUES OF BALANCE: ACQUISITION, ANALYSIS, AND ARCHIVING""; ""Data Analysis Funding""; ""Timeliness of Data Analysis""; ""FEDERATED DATABASES""; ""The National Virtual Observatory""; ""Planetary Data System""; ""Federation of Earth Science Information Partners""; ""ELEMENTS OF EFFECTIVE DATA MANAGEMENT""; ""Appendixes""; ""Appendix A Letter of Request""; ""Appendix B The Data Life Cycle""; ""Appendix C Questionnaire to the Active Archives, Data Centers,and Data Services""
""Information Requested from the Space Science and Earth Science Facilities""""Additional Information Requested of the Space Science Active Facilities""; ""Additional Information Requested of the Distributed Active Archive Centers""; ""Appendix D Biographies of Task Group Members""; ""Appendix E Meeting Agendas""; ""Appendix F Acronyms""
Record Nr. UNINA-9910777451303321
Washington, D.C., : National Academy Press, c2002
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui