Geomatic Approaches for Modeling Land Change Scenarios / / edited by María Teresa Camacho Olmedo, Martin Paegelow, Jean-François Mas, Francisco Escobar
| Geomatic Approaches for Modeling Land Change Scenarios / / edited by María Teresa Camacho Olmedo, Martin Paegelow, Jean-François Mas, Francisco Escobar |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXIV, 525 p. 158 illus., 66 illus. in color.) |
| Disciplina | 910.285 |
| Collana | Lecture Notes in Geoinformation and Cartography |
| Soggetto topico |
Geographic information systems
Environmental monitoring Computer simulation Geographical Information Systems/Cartography Monitoring/Environmental Analysis Simulation and Modeling |
| ISBN | 3-319-60801-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Geomatic Approaches for Modeling Land Change Scenarios -- Part I: LUCC Modeling Approaches to Calibration -- The Simulation Stage in LUCC Modeling -- Techniques for the Validation of LUCC Modeling Outputs -- LUCC Scenarios -- Part II: Obtaining and Comparing Factors in Land Change Models Using One or Two Time Points Based Calibration -- Impact and Integration of Multiple Training Dates for Markov Based Land Change Modeling -- Land Use Change Modeling with SLEUTH: Improving alibration with a Genetic Algorithm -- Part III: Urban Land Use Change Analysis and Modeling: A Case Study of the Gaza Strip -- Constraint Cellular Automata for Urban Development Simulation: An Application to the Strasbourg-Kehl Cross-Border Area -- Part IV : Cellular Automaton -- Cellular Automata in CA_MARKOV -- Fuzzy Coincidence -- Part V : A Short Presentation of the Actor, Policy, and Land Use Simulator (APoLUS) -- A Short Presentation of CA_MARKOV. |
| Record Nr. | UNINA-9910299389103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Lo trovi qui: Univ. Federico II | ||
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Land Use Cover Datasets and Validation Tools : Validation Practices with QGIS / / edited by David García-Álvarez, María Teresa Camacho Olmedo, Martin Paegelow, Jean François Mas
| Land Use Cover Datasets and Validation Tools : Validation Practices with QGIS / / edited by David García-Álvarez, María Teresa Camacho Olmedo, Martin Paegelow, Jean François Mas |
| Autore | García-Álvarez David |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (460 pages) |
| Disciplina | 910.285 |
| Altri autori (Persone) |
Camacho OlmedoMaría Teresa
PaegelowMartin MasJean-François |
| Collana | Earth and Environmental Science Series |
| Soggetto topico |
Geographic information systems
Cartography Physical geography Geographical Information System Earth System Sciences |
| ISBN | 3-030-90998-0 |
| Classificazione | COM018000SCI019000SCI030000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. About this book -- Part I. Concepts, data and validation -- Chapter 2. Land Use Cover mapping, modelling and validation. A background -- Chapter 3. Validation of Land Use Cover maps: a guideline -- Chapter 4. Land Use Cover Datasets: a review -- Part II. Data access and visualization -- Chapter 5. Visualization and communication of LUC data -- Chapter 6. Sample data for thematic accuracy assessment in QGIS -- Part III. Tools to validate Land Use Cover maps: a review -- Chapter 7. Basic and Multiple-Resolution Cross Tabulation to validate Land Use Cover maps -- Chapter 8. Metrics based on a Cross-Tabulation matrix to validate Land Use Cover maps -- Chapter 9. Pontius Jr. methods based on a Cross Tabulation matrix to validate Land Use Cover maps -- Chapter 10. Validation of soft maps produced by a Land Use Cover Change model -- Chapter 11. Spatial metrics to validate Land Use Cover maps -- Chapter12. Advanced pattern analysis to validate Land Use Cover maps -- Chapter 13. Geographically Weighted methods to validate Land Use Cover maps -- Part IV. Land Use Cover datasets: a review -- Chapter 14. Global general Land Use Cover datasets with a single date,- Chapter 15. Global general Land Use Cover datasets with a time series of maps -- Chapter 16. General Land Use Cover datasets for Europe -- Chapter 17. General Land Use Cover datasets for Africa -- Chapter 18. General Land Use Cover datasets for America and Asia -- Chapter 19. Global thematic Land Use Cover datasets characterizing vegetation covers -- Chapter 20. Global thematic Land Use Cover datasets characterizing agricultural covers -- Chapter 21. Global thematic Land Use Cover datasets characterizing artificial covers -- Chapter 22. Supra-national thematic Land Use Cover datasets. |
| Record Nr. | UNINA-9910578688003321 |
García-Álvarez David
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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