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Geomatic Approaches for Modeling Land Change Scenarios

ISBN-13: 9783319869360 / Angielski / Miękka / 2018 / 525 str.

Maria Teresa Camacho Olmedo; Martin Paegelow; Jean-Francois Mas
Geomatic Approaches for Modeling Land Change Scenarios Maria Teresa Camach Martin Paegelow Jean-Francois Mas 9783319869360 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Geomatic Approaches for Modeling Land Change Scenarios

ISBN-13: 9783319869360 / Angielski / Miękka / 2018 / 525 str.

Maria Teresa Camacho Olmedo; Martin Paegelow; Jean-Francois Mas
cena 564,88 zł
(netto: 537,98 VAT:  5%)

Najniższa cena z 30 dni: 539,74 zł
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Kategorie:
Nauka, Geografia
Kategorie BISAC:
Science > Earth Sciences - Geography
Science > Environmental Science (see also Chemistry - Environmental)
Computers > Computer Simulation
Wydawca:
Springer
Seria wydawnicza:
Lecture Notes in Geoinformation and Cartography
Język:
Angielski
ISBN-13:
9783319869360
Rok wydania:
2018
Wydanie:
Softcover Repri
Ilość stron:
525
Oprawa:
Miękka
Wolumenów:
01

1 Geomatic Approaches for Modeling Land Change Scenarios.

An Introduction

M.T. Camacho Olmedo, M. Paegelow, J.F. Mas and F. Escobar

Part I Concepts and Tools

2 LUCC Modeling Approaches to Calibration

J.F. Mas, M. Paegelow and M.T. Camacho Olmedo

3 The Simulation Stage in LUCC Modeling

M.T. Camacho Olmedo, J.F. Mas and M. Paegelow

4 Techniques for the Validation of LUCC Modeling Outputs

M. Paegelow, M.T. Camacho Olmedo and J.F. Mas

5 LUCC Scenarios

F. Escobar, H. van Delden and 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

M.T. Camacho Olmedo

7 Impact and Integration of Multiple Training Dates for Markov

Based Land Change Modeling

M. Paegelow

8 Land Use Change Modeling with SLEUTH: Improving

Calibration with a Genetic Algorithm

K.C. Clarke

9 The Importance of Scale in Land Use Models: Experiments

in Data Conversion, Data Resampling, Resolution and

Neighborhood Extent

J. Díaz-Pacheco, H. van Delden and R. Hewitt

10 The Influence of Scale in LULC Modeling. A Comparison

Between Two Different LULC Maps (SIOSE and CORINE)

D. García-Álvarez

11 Who Knows Best? The Role of Stakeholder Knowledge

in Land Use Models—An Example from Doñana, SW Spain

R.J. Hewitt, V. Hernández Jiménez, L. Román Bermejo

and 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)

M. Kolb, P.R.W. Gerritsen, G. Garduño, E. Lazos Chavero, S. Quijas,

P. Balvanera, N. Álvarez and J. Solís

Part III Methodological Developments and Case Studies:

Case Studies

13 Urban Land Use Change Analysis and Modeling:

A Case Study of the Gaza Strip

B. Abuelaish

14 Constraint Cellular Automata for Urban Development

Simulation: An Application to the Strasbourg-Kehl

Cross-Border Area

J.P. Antoni, V. Judge, G. Vuidel and O. Klein

15 Modeling Land-Use Scenarios in Protected Areas of an Urban

Region in Spain

M. Gallardo and J. Martínez-Vega

16 Navigating the Future: Land Redevelopment Scenarios

and Broader Impact Assessment in Southern California

J.H. Kim, J.R. Hipp and V. Basolo

17 Modeling the Future Evolution of Chilean Forests to Guide

Current Practices. Native Forest and Industrial Timber

Plantations in Southern Chile

N. Maestripieri, M. Paegelow and G. Selleron

18 Urban Transportation Scenarios in a LUCC Model: A Case

Study in Bogota, Colombia

D. Páez and F. Escobar

19 Integrating Econometric and Spatially Explicit Dynamic Models

to Simulate Land Use Transitions in the Cerrado Biome

T. Carvalho Lima, S. Carvalho Ribeiro and B. Soares-Filho

Part IV Technical Notes

20 Cellular Automaton

J.F. Mas and H. Rodrigues

21 Cellular Automata in CA_MARKOV

M.T. Camacho Olmedo and J.F. Mas

22 Fuzzy Coincidence

J.F. Mas

23 LUCC Based Validation Indices: Figure of Merit, Producer’s

Accuracy and User’s Accuracy

M. Paegelow

24 LUCC Budget

M. Paegelow

25 Markov Chain

M.T. Camacho Olmedo and J.F. Mas

26 Multi Criteria Evaluation (MCE)

M. Paegelow

27 Multilayer Perceptron (MLP)

H. Taud and J.F. Mas

28 Multi-objective Land Allocation (MOLA)

M.T. Camacho Olmedo

29 The NASZ Model

F. Escobar

30 Receiver Operating Characteristic (ROC) Analysis

J.F. Mas

31 Weights of Evidence

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)

R.J. Hewitt

33 A Short Presentation of CA_MARKOV

J.R. Eastman and J. Toledano

34 A Short Presentation of CLUMondo

J. van Vliet and P.H. Verburg

35 A Short Presentation of Dinamica EGO

H. Rodrigues and B. Soares-Filho

36 A Short Presentation of the Land Change Modeler (LCM)

J.R. Eastman and J. Toledano

37 A Short Presentation of LucSim

J.P. Antoni

38 A Short Presentation of Metronamica

H. van Delden and R. Vanhout

39 A Short Presentation of SLEUTH

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 Mexico’s 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. 

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 five parts preceded by a foreword written by Roger White and a general introduction. Part I 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 II and Part III. Part II discusses recently proposed methodological developments that have enhanced modeling procedures and results while Part III offers case studies as well as interesting, innovative methodological proposals. Part IV revises different fundamental techniques used in LUCC modeling and finally Part V describes the best-known software packages used in the applications presented in Parts II and III.



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