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

References

• 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 .
   Web of Science ®Google Scholar
• Bach , M. 2006 . Accuracy and congruency of three different digital land-use maps . Landscape and Urban Planning , 78 : 289 – 299 .
   Web of Science ®Google Scholar
• Baker , W.L. 1989 . A review of models of landscape change . Landscape Ecology , 2 ( 2 ) : 111 – 133 .
   Web of Science ®Google Scholar
• Batty , M. , Xie , Y. and Sun , Z. 1999 . Modeling urban dynamics through GIS-based cellular automata . Computers, Environment and Urban Systems , 23 : 205 – 233 .
   Google Scholar
• Boserup , E. 1981 . Population-growth and agrarian change – an historical-perspective . Journal of Historical Geography , 7 ( 4 ) : 439 – 441 .
   Web of Science ®Google Scholar
• Brown , D.G. 2004 . “ Modeling land use and land cover change ” . In Land change science: observing, monitoring and understanding trajections of change on the earth's surface , Edited by: Gutman , G. 395 – 409 . New York : Springer . ch. 23
   Google Scholar
• Candau , J. Calibration a cellular automaton model of urban growth in a timely manner . Proceedings of the 4th international conference on integrating geographic information systems and environmental modeling: problems, prospects, and needs for research . September , Boulder, CO. Edited by: Parks , B.O. , Clarke , K.M. and Crane , M.P. pp. 2 – 8 . University of Colorado .
   Google Scholar
• Chrisman , N.R. 1987 . The accuracy of map overlays: a reassessment . Landscape and Urban Planning , 14 ( 5 ) : 427 – 439 .
   Web of Science ®Google Scholar
• 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 .
   PubMed Web of Science ®Google Scholar
• 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 .
   Web of Science ®Google Scholar
• EEA-ETC/TE, 2002. CORINE land cover update. I&CLC2000 project. Technical guidelines http://terrestrial.eionet.eu.int (accessed May 2005) (http://terrestrial.eionet.eu.int (accessed May 2005))
   Google Scholar
• 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 .
   Web of Science ®Google Scholar
• Garfi , G. 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 .
   Google Scholar
• 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 .
   Web of Science ®Google Scholar
• 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 .
   Web of Science ®Google Scholar
• Horvath , R.J. 1966 . Vonthünen's isolated state – Hall, P . Professional Geographer , 18 ( 6 ) : 403
   Web of Science ®Google Scholar
• 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 .
   Web of Science ®Google Scholar
• 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 .
   Web of Science ®Google Scholar
• Leh , M.D. and Bajwa , S.G. Land use change in NW Arkansas: implications for runoff potential on the West Fork watershed . Proceedings IEEE region 5 technical conference . April 20–23 , Picataway, NJ. pp. 419
   Google Scholar
• 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 .
   Web of Science ®Google Scholar
• 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 .
   Web of Science ®Google Scholar
• 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 .
   Web of Science ®Google Scholar
• Mucher , C.A. 2000 . Land cover characterization and change detection for environmental monitoring of pan-Europe . International Journal of Remote Sensing , 21 ( 6–7 ) : 1159 – 1181 .
   Web of Science ®Google Scholar
• 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 .
   Web of Science ®Google Scholar
• Nelson , G.C. and Geoghegan , J. 2001 . Deforestation and land use change: sparse data environments . Agricultural Economics , 27 : 201 – 216 .
   Web of Science ®Google Scholar
• Pontius , R.G. Jr. , Huffaker , D. and Denkman , K. 2004 . Useful techniques of validation for spatially explicit land change models . Ecological Modelling , 179 : 445 – 461 .
   Web of Science ®Google Scholar
• Pontius , R.G. Jr. 2008a . Comparing the input, output, and validation maps for several models of land change . Annals of Regional Science , 42 : 11 – 37 .
   Web of Science ®Google Scholar
• Pontius , R.G. Jr. , 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 .
   Web of Science ®Google Scholar
• 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 .
   Web of Science ®Google Scholar
• Rounsevell , M.D.A. 2005 . Future scenarios of European agricultural land use II. Projecting changes in cropland and grassland . Agriculture, Ecosystems and Environment , 107 : 117 – 135 .
   Web of Science ®Google Scholar
• Institute , SAS . 1985 . SAS users guide: statistics , 5th , 956 Cary, NC : SAS Institute Inc .
   Google Scholar
• 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 .
   Web of Science ®Google Scholar
• Schneider , L.C. and Pontius , R.G. Jr. 2001 . Modeling land-use change in the Ipswich watershed; Massachusetts, USA . Agriculture, Ecosystems and Environment , 85 : 83 – 94 .
   Web of Science ®Google Scholar
• 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 .
   Web of Science ®Google Scholar
• Shao , G. and Wu , J. 2008 . On the accuracy of landscape pattern analysis using remote sensing data . Landscape Ecology , 23 : 505 – 511 .
   Web of Science ®Google Scholar
• Van Dessel , W. 2008 . Predicting land cover changes and their impact on the sediment influx in the Lake Balaton catchment . Landscape Ecology , 23 ( 6 ) : 645 – 656 .
   Web of Science ®Google Scholar
• 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 .
   Web of Science ®Google Scholar
• 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 .
   Web of Science ®Google Scholar
• 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 .
   Web of Science ®Google Scholar
• Verburg , P.H. 2002 . Modeling the spatial dynamics of regional land use: the CLUE-S model . Environmental Management , 30 ( 30 ) : 391 – 405 .
   PubMedGoogle Scholar
• Verburg , P.H. 2004 . A method to analyse neighbourhood characteristics of land use patterns . Computers, Environment and Urban Systems , 28 : 667 – 690 .
   Google Scholar
• Verburg , P.H. 2006 . Downscaling of land use change scenarios to asses the dynamics of European landscapes . Agriculture, Ecosystems and Environment , 114 : 39 – 56 .
   Web of Science ®Google Scholar
• Veregin , H. 1989 . A review of error models for vector to raster conversion . Operational Geographer , 7 ( 1 ) : 11 – 15 .
   Google Scholar
• Wang , G. 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 .
   Web of Science ®Google Scholar
• Wear , D.N. and Bolstad , P. 1998 . Land-use changes in southern Appalachian landscapes: spatial analysis and forecast evaluation . Ecosystems , 1 : 575 – 594 .
   Web of Science ®Google Scholar
• 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 .
   Web of Science ®Google Scholar