Accuracy assessments and uncertainty analysis of spatially explicit modeling for land use/cover change and urbanization: A case in Beijing metropolitan area

Science China Earth Sciences

Volumn 53, Issue 2, 2010, Pages 173-180

  Zhang, Jie ^a,b   Zhou, Yin Kang ^b   Li, Ren Qiang ^c   Zhou, Zhao Jun ^d   Zhang, Li Quan ^a   Shi, Qing Dong ^e   Pan, Xiao Ling ^e  

^a EAST CHINA NORMAL UNIVERSITY   (China)

^b NANJING UNIVERSITY   (China)

^c INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^d Xinjiang Polytechnic College   (China)

^e XINJIANG UNIVERSITY   (China)

Author keywords

Accuracy assessment; Beijing metropolitan area; Scale effect; Spatially explicit modeling; Uncertainty analysis; Urbanization

Indexed keywords

ACCURACY ASSESSMENT; CURRENT MODELS; GENERAL PUBLICS; INFORMED DECISION; KAPPA INDEX; LAND USE/COVER CHANGE; LAND-USE CHANGE; METROPOLITAN AREA; MODEL ACCURACY; MODEL PREDICTION; MODELING ACCURACY; MULTIPLE RESOLUTIONS; POLICY MAKERS; RESOURCES MANAGEMENT; SCALE EFFECTS; SPATIAL RESOLUTION; SPATIAL SCALE; SPATIALLY EXPLICIT MODELING; SPATIALLY EXPLICIT MODELS; URBAN SPRAWL;

APPROXIMATION THEORY; FORESTRY; LAND USE; SPECIFICATIONS;

UNCERTAINTY ANALYSIS;

ACCURACY ASSESSMENT; LAND COVER; LAND USE CHANGE; METROPOLITAN AREA; NUMERICAL MODEL; PLANNING METHOD; SCALE EFFECT; UNCERTAINTY ANALYSIS; URBAN PLANNING; URBANIZATION;

BEIJING [CHINA]; CHINA;

EID: 77950460334     PISSN: 16747313     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11430-009-0199-4     Document Type: Article

References (27)

1. Pontius R G, Huffaker D, Denman K. Useful techniques of validation for spatially-explicit land-change models. Ecol Model, 2004, 179: 445-461.
2. Li X, Yeh A G O. Modeling sustainable urban development by the integration of constrained cellular automata and GIS. Int J Geogr Inf Sci, 2000, 14: 131-152.
3. Li X, Yeh A G O. Neural-network-based cellular automata for simulating multiple land use changes using GIS. Int J Geogr Inf Sci, 2002, 16: 323-343.
4. Yeh A G O, Li X. Errors and uncertainties in urban cellular automata. Comput Environ Environ Syst, 2006, 30: 10-28.
5. Congalton R G, Green K. Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. Boca Raton: CRC/Lewis Press, 1999. 137.
6. Lowell K E. Probabilistic temporal GIS modeling involving more than two map classes. Int J Geogr Inf Syst, 1994, 8: 73-93.
7. Kok K, Farrow A, Veldkamp T, et al. A method and application of multi-scale validation in spatial land use models. Agr Ecosyst Environ, 2001, 85: 223-238.
8. Pontius R G, Schneider L. Land-cover change model validation by a ROC method for the Ipswich watershed, Massachusetts, USA. Agr Ecosyst Environ, 2001, 85: 239-248.
9. Brennan R L, Prediger D J. Coefficient kappa: Some uses, misuses and alternatives. Educ Psychol Meas, 1981, 41: 687-698.
10. Pontius R G, Agrawal A, Huffaker D. Estimating the uncertainty of land-cover extrapolations while constructing a raster map from tabular data. J Geogr Syst, 2003, 5: 253-273.
11. Woodcock C E, Gopal S. Fuzzy set theory and thematic maps: Accuracy assessment and area estimation. Int J Geogr Inf Sci, 2000, 14: 153-172.
12. Hay A M. The derivation of global estimates from a confusion matrix. Int J Remote Sens, 1988, 9: 1395-1398.
13. Veldkamp A, Lambin E F. Predicting land-use change. Agr Ecosyst Environ, 2001, 85: 1-6.
14. Zhang J, Pan X L, Gao Z Q, et al. Modeling the dynamics of urban sprawl and spatial landscape pattern in Beijing metropolitan area. In: Proceedings of SPIE Int Soc Opt Eng. San Diego: SPIE, CA, USA, 2005. 289-301.
15. Chen J, Gong P, He C, et al. Assessment of the urban development plan of Beijing by using a CA-based urban growth model. Photogramm Eng Rem Sens, 2002, 68: 1041-1049.
16. Versluis A J, Pontius Jr R G, Malizia N R. Visualizing the rate at which the accuracy of a land change prediction decays. In: Proceedings of the University Consortium for Geographic Information Science. Silver Spring MD, 2004. 29.
17. Veldkamp A, Fresco L O. CLUE-CR: An integrated multi-scale model to simulate land use change scenarios in Costa Rica. Ecol Model, 1996, 91: 231-248.
18. Verburg P H, de Koning G H J, Kok K, et al. A spatial explicit allocation procedure for modeling the pattern of land use change based upon actual land use. Ecol Model, 1999, 116: 45-61.
19. Verburg P H, Soepboer W, Limpiada R, et al. Land use change modeling at the regional scale: The CLUE-S model. Environ Manage, 2002, 30: 391-405.
20. Pontius R G. Quantification error versus location error in comparison of categorical maps. Photogramm Eng Rem Sens, 2000, 66: 1011-1016.
21. Pontius R G. Statistical methods to partition effects of quantity and location during comparison of categorical maps at multiple resolutions. Photogramm Eng Rem Sens, 2002, 68: 1041-1049.
22. Monserud R A, Leemans R. Comparing global vegetation maps with the Kappa statistics. Ecol Model, 1992, 62: 275-293.
23. Cohen J. A coefficient of agreement for nominal scales. Educ Psychol Meas, 1960, 20: 37-46.
24. Congalton R G. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sens Environ, 1991, 37: 35-46.
25. Jensen J R. Introductory Digital Image Processing: A Remote Sensing Perspective. Second edition. Upper Saddle River: Prentice Hall, Inc., 1996.
26. Zhang J. Spatio-temporal modeling the dynamics of urban sprawl and the impacts on carbon uptake in net primarily productivity of urban ecosystem: A case in Beijing metropolitan area (in Chinese). Doctoral Dissertation. Nanjing: Nanjing University, 2006.
27. Foody G. On the compensation for chance agreement in image classification accuracy assessment. Photogramm Eng Rem Sens, 1992, 58: 1459-1460.