Sensitivity analysis of logistic regression parameterization for land use and land cover probability estimation

International Journal of Geographical Information Science

Volumn 25, Issue 3, 2011, Pages 489-508

  van Dessela, Wim ^a   van Rompaeya, Anton ^a   Szilassib, Peter ^b  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b UNIVERSITY OF SZEGED   (Hungary)

Author keywords

Data quality; Land cover change; Logistic regression

Indexed keywords

DATA QUALITY; ESTIMATION METHOD; GIS; LAND COVER; LAND USE CHANGE; NUMERICAL MODEL; PARAMETERIZATION; PROBABILITY; REGRESSION ANALYSIS; SENSITIVITY ANALYSIS; SPATIAL DATA; WATERSHED;

HUNGARY; LAKE BALATON;

EID: 79957585021     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/13658810903194256     Document Type: Article

References (46)

1. Archer, D.R., 2007. The use of flow variability analysis to assess the impact of land use change on the paired Plynlimon catchments, mid-Wales. Journal of Hydrology, 347, 487-496.
2. Bach, M., et al., 2006. Accuracy and congruency of three different digital land-use maps. Landscape and Urban Planning, 78, 289-299.
3. Baker, W.L., 1989. A review of models of landscape change. Landscape Ecology, 2 (2), 111-133.
4. Batty, M., Xie, Y., and Sun, Z., 1999. Modeling urban dynamics through GIS-based cellular automata. Computers, Environment and Urban Systems, 23, 205-233.
5. Boserup, E., 1981. Population-growth and agrarian change - an historical-perspective. Journal of Historical Geography, 7 (4), 439-441.
6. Brown, D.G., et al., 2004. Modeling land use and land cover change. In: G. Gutman, et al., eds. Land change science: observing, monitoring and understanding trajections of change on the earth's surface. New York: Springer, ch. 23, 395-409.
7. Candau, J., 2000. Calibration a cellular automaton model of urban growth in a timely manner. In: B.O. Parks, K.M. Clarke, and M.P. Crane, eds. Proceedings of the 4th international conference on integrating geographic information systems and environmental modeling: problems, prospects, and needs for research, 2-8 September. Boulder, CO: University of Colorado.
8. Chrisman, N.R., 1987. The accuracy of map overlays: a reassessment. Landscape and Urban Planning, 14 (5), 427-439.
9. Clarke, K.C. and Gaydos, L.J., 1998. Loose-coupling a cellular automaton model and GIS: long-term urban growth prediction for San Francisco and Washington/Baltimore. International Journal of Geographical Information Science, 12 (7), 699-714.
10. Congalton, R.G. and Green, K., 1993. A practical look at the sources of confusion in error matrix generation. Photogrammetric Engineering and Remote Sensing, 59 (5), 641-644.
11. EEA-ETC/TE, 2002. CORINE land cover update. I&CLC2000 project. Technical guidelines, http://terrestrial.eionet.eu.int (accessed May 2005).
12. Ferreira, J.G., Hawkins, A.J.S., and Bricker, S.B., 2007. Management of productivity, environmental effects and profitability of shellfish aquaculture - the Farm Aquaculture Resource Management (FARM) model. Aquaculture, 264, 160-174.
13. Garfi, G., et al., 2007. Fan morphodynamics and slope instability in the Mucone River basin (Sila Massif, southern Italy): significance of weathering and role of land use changes. Catena, 69, 181-196.
14. Hansen, M.C. and Reed, B., 2000. A comparison of the IGBP DISCover and University of Maryland 1 km global land cover products. International Journal of Remote Sensing, 21 (6-7), 1365-1373.
15. Herold, M., Goldstein, N.C., and Clarke, K.C., 2003. The spatiotemporal form of urban growth: measurement, analysis and modeling. Remote Sensing of Environment, 86 (3), 286-302.
16. Horvath, R.J., 1966. Vonthünen's isolated state - Hall, P. Professional Geographer, 18 (6), pp. 403.
17. Krause, S., Jacobs, J., and Bronstert, A., 2007. Modelling the impacts of land-use and drainage density on the water balance of a lowland-floodplain landscape in northeast Germany. Ecological Modelling, 200, 475-492.
18. Lambin, E.F., Rounsevell, M.D.A., and Geist, H.J., 2000. Are agricultural land-use models able to predict changes in land-use intensity? Agriculture, Ecosystems and Environment, 82 (1-3), 321-331.
19. Leh, M.D. and Bajwa, S.G., 2007. Land use change in NWArkansas: implications for runoff potential on the West Fork watershed. In: Proceedings IEEE region 5 technical conference, 20-23 April, Picataway, NJ, 419.
20. Loveland, T.R. and Belward, A.S., 1997. The IGBP-DIS Global 1km Land Cover Data Set, Discover First Results. International Journal of Remote Sensing, 18 (15), 3291-3295.
21. Mertens, B. and Lambin, E.F., 2000. Land-cover-change trajectories in southern Cameroon. Annals of the Association of American Geographers, 90 (3), 467-494.
22. Moody, A. and Woodcock, C.E., 1994. Scale-dependent errors in the estimation of land-cover proportions-implications for global land-cover datasets. Photogrammetric Engineering and Remote Sensing, 60 (5), 585-594.
23. Mucher, C.A., et al., 2000. Land cover characterization and change detection for environmental monitoring of pan-Europe. International Journal of Remote Sensing, 21 (6-7), 1159-1181.
24. Munroe, D.K., Southworth, J., and Tucker, C.M., 2002. The dynamics of land-cover change in western Honduras: exploring spatial and temporal complexity. Agricultural Economics, 27 (3), 355-369.
25. Nelson, G.C. and Geoghegan, J., 2001. Deforestation and land use change: sparse data environments. Agricultural Economics, 27, 201-216.
26. Pontius Jr., R.G., Huffaker, D., and Denkman, K., 2004. Useful techniques of validation for spatially explicit land change models. Ecological Modelling, 179, 445-461.
27. Pontius Jr., R.G., et al., 2008a. Comparing the input, output, and validation maps for several models of land change. Annals of Regional Science, 42, 11-37.
28. Pontius, Jr., R.G., Thontteh, O., and Chen, H., 2008b. Components of information for multiple resolution comparison between maps that share a real variable. Environmental and Ecological Statistics, 15, 111-142.
29. Rounsevell, M.D.A., Berry, P.M., and Harrison, P.A., 2006. Future environmental change impacts on rural land use and biodiversity: a synthesis of the ACCELERATES project. Environmental Science and Policy, 9, 93-100.
30. Rounsevell, M.D.A., et al., 2005. Future scenarios of European agricultural land use II. Projecting changes in cropland and grassland. Agriculture, Ecosystems and Environment, 107, 117-135.
31. SAS Institute, 1985. SAS users guide: statistics. 5th ed. Cary, NC: SAS Institute Inc., 956pp.
32. Schmit, C., Rounsevell, M.D.A., and La Jeunesse, I., 2006. The limitations of spatial land use data in environmental analysis. Environmental Science and Policy, 9, 174-188.
33. Schneider, L.C. and Pontius Jr., R.G., 2001. Modeling land-use change in the Ipswich watershed; Massachusetts, USA. Agriculture, Ecosystems and Environment, 85, 83-94.
34. Serneels, S. and Lambin, E.F., 2001. Proximate causes of land use change in Narok district Kenya: a spatial statistical model. Agriculture, Ecosystems and Environment, 85, 65-82.
35. Shao, G. and Wu, J., 2008. On the accuracy of landscape pattern analysis using remote sensing data. Landscape Ecology, 23, 505-511.
36. Van Dessel, W., et al., 2008. Predicting land cover changes and their impact on the sediment influx in the Lake Balaton catchment. Landscape Ecology, 23 (6), 645-656.
37. Van Rompaey, A. and Govers, G., 2002. Data quality and model complexity for regional scale erosion prediction. International Journal of GIS, 16 (7), 663-680.
38. Van Rompaey, A.J.J., Govers, G., and Puttemans, C., 2002. Modelling land use changes and their impact on soil erosion and sediment supply to rivers. Earth Surface Processes and Landforms, 27, 481-494.
39. Van Rompaey, A.J.J., Verstraeten, G., and Van Oost, K., 2001. Modelling mean annual sediment yield using a distributed approach. Earth Surface Processes and Landforms, 26 (11), 1221-1236.
40. Verburg, P.H., et al., 2002. Modeling the spatial dynamics of regional land use: the CLUE-S model. Environmental Management, 30 (30), 391-405.
41. Verburg, P.H., et al., 2004. A method to analyse neighbourhood characteristics of land use patterns. Computers, Environment and Urban Systems, 28, 667-690.
42. Verburg, P.H., et al., 2006. Downscaling of land use change scenarios to asses the dynamics of European landscapes. Agriculture, Ecosystems and Environment, 114, 39-56.
43. Veregin, H. 1989. A review of error models for vector to raster conversion. Operational Geographer, 7 (1), 11-15.
44. Wang, G., et al., 2007. Effects of land-use changes on hydrological processes in the middle basin of the Heihe River, northwest China. Hydrological Processes, 21 (10), 1370-1382.
45. Wear, D.N. and Bolstad, P., 1998. Land-use changes in southern Appalachian landscapes: spatial analysis and forecast evaluation. Ecosystems, 1, 575-594.
46. Westhoek, H.J., van den Berg, M., and Bakkes, J.A., 2006. Scenario development to explore the future of Europe's rural areas. Agriculture, Ecosystems and Environment, 114, 7-20.