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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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui