Muutke küpsiste eelistusi

E-raamat: Geomatic Approaches for Modeling Land Change Scenarios

  • Formaat - EPUB+DRM
  • Hind: 147,58 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

This book provides a detailed overview of the concepts, techniques, applications, and methodological approaches involved in land use and cover change (LUCC) modeling, also known simply as land change modeling. More than 40 international experts in this field have participated in this book, which illustrates recent advances in LUCC modeling with examples from North and South America, the Middle East, and Europe. Given the broad range of geomatic approaches available, it helps readers select the approach that best meets their needs. The book is structured into three parts preceded by a foreword written by Roger White and a general introduction. Part A consists of four chapters, each of which focuses on a specific stage in the modeling process: calibration, simulation, validation, and scenarios. It presents and explains the fundamental ideas and concepts underlying LUCC modeling. This is complemented by a comparative analysis of the selected software packages, practically applied in various case studies in Part B and described in Part C. Part B is subdivided into two sections: the first discusses recently proposed methodological developments that have enhanced modeling procedures and results, while the second offers case studies as well as interesting, innovative methodological proposals. Part C includes two extensive chapters with technical notes on the different techniques used in LUCC modeling and the best-known software packages used in the applications presented in Parts A and B.
1 Geomatic Approaches for Modeling Land Change Scenarios. An Introduction
1(10)
M.T. Camacho Olmedo
M. Paegelow
J.F. Mas
F. Escobar
Part I Concepts and Tools
2 LUCC Modeling Approaches to Calibration
11(16)
J.F. Mas
M. Paegelow
M.T. Camacho Olmedo
3 The Simulation Stage in LUCC Modeling
27(26)
M.T. Camacho Olmedo
J.F. Mas
M. Paegelow
4 Techniques for the Validation of LUCC Modeling Outputs
53(28)
M. Paegelow
M.T. Camacho Olmedo
J.F. Mas
5 LUCC Scenarios
81(20)
F. Escobar
H. van Delden
R. Hewitt
Part II Methodological Developments and Case Studies: Methodological Developments
6 Obtaining and Comparing Factors in Land Change Models Using One or Two Time Points Based Calibration
101(20)
M.T. Camacho Olmedo
7 Impact and Integration of Multiple Training Dates for Markov Based Land Change Modeling
121(18)
M. Paegelow
8 Land Use Change Modeling with SLEUTH: Improving Calibration with a Genetic Algorithm
139(24)
K.C. Clarke
9 The Importance of Scale in Land Use Models: Experiments in Data Conversion, Data Resampling, Resolution and Neighborhood Extent
163(24)
J. Diaz-Pacheco
H. van Delden
R. Hewitt
10 The Influence of Scale in LULC Modeling. A Comparison Between Two Different LULC Maps (SIOSE and CORINE)
187(28)
D. Garcia-Alvarez
11 Who Knows Best? The Role of Stakeholder Knowledge in Land Use Models---An Example from Donana, SW Spain
215(26)
R.J. Hewitt
V. Hernandez Jimenez
L. Roman Bermejo
F. Escobar
12 Land Use and Cover Change Modeling as an Integration Framework: A Mixed Methods Approach for the Southern Coast of Jalisco (Western Mexico)
241(30)
M. Kolb
P.R.W. Gerritsen
G. Garduno
E. Lazos Chavero
S. Quijas
P. Balvanera
N. Alvarez
J. Solis
Part III Methodological Developments and Case Studies: Case Studies
13 Urban Land Use Change Analysis and Modeling: A Case Study of the Gaza Strip
271(22)
B. Abuelaish
14 Constraint Cellular Automata for Urban Development Simulation: An Application to the Strasbourg-Kehl Cross-Border Area
293(14)
J.P. Antoni
V. Judge
G. Vuidel
O. Klein
15 Modeling Land-Use Scenarios in Protected Areas of an Urban Region in Spain
307(22)
M. Gallardo
J. Martinez-Vega
16 Navigating the Future: Land Redevelopment Scenarios and Broader Impact Assessment in Southern California
329(18)
J.H. Kim
J.R. Hipp
V. Basolo
17 Modeling the Future Evolution of Chilean Forests to Guide Current Practices. Native Forest and Industrial Timber Plantations in Southern Chile
347(20)
N. Maestripieri
M. Paegelow
G. Selleron
18 Urban Transportation Scenarios in a LUCC Model: A Case Study in Bogota, Colombia
367(32)
D. Paez
F. Escobar
19 Integrating Econometric and Spatially Explicit Dynamic Models to Simulate Land Use Transitions in the Cerrado Biome
399(22)
T. Carvalho Lima
S. Carvalho Ribeiro
B. Soares-Filho
Part IV Technical Notes
20 Cellular Automaton
421(4)
J.F. Mas
H. Rodrigues
21 Cellular Automata in CA_MARKOV
425(4)
M.T. Camacho Olmedo
J.F. Mas
22 Fuzzy Coincidence
429(4)
J.F. Mas
23 LUCC Based Validation Indices: Figure of Merit, Producer's Accuracy and User's Accuracy
433(4)
M. Paegelow
24 LUCC Budget
437(4)
M. Paegelow
25 Markov Chain
441(6)
M.T. Camacho Olmedo
J.F. Mas
26 Multi Criteria Evaluation (MCE)
447(4)
M. Paegelow
27 Multilayer Perceptron (MLP)
451(6)
H. Taud
J.F. Mas
28 Multi-objective Land Allocation (MOLA)
457(4)
M.T. Camacho Olmedo
29 The NASZ Model
461(4)
F. Escobar
30 Receiver Operating Characteristic (ROC) Analysis
465(4)
J.F. Mas
31 Weights of Evidence
469(6)
J.F. Mas
Part V Short Presentations About the Modeling Software Packages
32 A Short Presentation of the Actor, Policy, and Land Use Simulator (APoLUS)
475(6)
R.J. Hewitt
33 A Short Presentation of CA_MARKOV
481(4)
J.R. Eastman
J. Toledano
34 A Short Presentation of CLUMondo
485(8)
J. van Vliet
P.H. Verburg
35 A Short Presentation of Dinamica EGO
493(6)
H. Rodrigues
B. Soares-Filho
36 A Short Presentation of the Land Change Modeler (LCM)
499(8)
J.R. Eastman
J. Toledano
37 A Short Presentation of LucSim
507(4)
J.P. Antoni
38 A Short Presentation of Metronamica
511(10)
H. van Delden
R. Vanhout
39 A Short Presentation of SLEUTH
521
K.C. Clarke
María Teresa Camacho Olmedo, PhD, is a tenured Professor at the University of Granada, Spain, where she is currently Head of the Department of Geographical Regional Analysis and Physical Geography. She is also head of the Geomatic simulations for modeling environmental dynamics II. Horizon 2020 project, funded by the Spanish Ministry of the Economy and Competitiveness and the FEDER European Regional Development Fund. Her current research areas are land use and cover modeling, simulation models and scenarios, and environmental dynamics. She has published numerous scientific papers and books. 

Martin Paegelow, PhD, is a Professor at the Department of Geography, Land Planning and Environment at the University of Toulouse Jean Jaurès, France and a member of GEODE (Geography of Environment) UMR 5602 CNRS laboratory.  In 1991 he obtained his PhD in geography and was accredited to supervise research in 2004. He is a specialist in environmental geography and geomatics. His principal research areas are environmental management and geomatic solutions with a special focus on geomatic land change modeling and its validation.  

Jean-Francois Mas, PhD, is a tenured Professor at the National University of Mexicos Center of Research in Environmental Geography. His research interests include land use/cover change monitoring and modeling, accuracy assessment of spatial data, forest inventory and vegetation cartography. He has published more than 70 peer-reviewed scientific publications and participated in 34 research projects.  





Francisco Escobar, PhD, is a tenured Professor at the Department of Geology, Geography and Environmental Sciences at the University of Alcalá, Spain. He has previously worked as a researcher at the European Commission, RMIT University and the University of Melbourne, and as Guest Professor at the University of Strasbourg and the Luxembourg Institute of Socio-Economic Research. His current research areas include the analysis and evaluation of modeling outcomes, and developing geospatial techniques for the characterization of neighborhoods in relationship to cardiovascular health, as well as for the analysis of the spatial distribution of rare and work-related diseases. He has published numerous scientific papers, books and atlases, and web-based cartographic tools in these areas.