Assessing spatial uncertainty in predictive geomorphological mapping: A multi-modelling approach

Computers and Geosciences

Volumn 36, Issue 3, 2010, Pages 355-361

  Luoto, Miska ^a   Marmion, Mathieu ^a   Hjort, Jan ^b  

^a UNIVERSITY OF OULU   (Finland)

^b UNIVERSITY OF HELSINKI   (Finland)

Author keywords

Accuracy; Modelling; Patterned ground; Periglacial; Uncertainty

Indexed keywords

AREA UNDER THE CURVES; DEGREE OF UNCERTAINTY; EARTH SURFACE PROCESS; FINLAND; GEOMORPHOLOGICAL MAPPING; MODELLING TECHNIQUES; MULTI-MODELLING; NEGATIVE CORRELATION; PERIGLACIAL; POTENTIAL DISTRIBUTIONS; SPATIAL MODELS; SPATIAL UNCERTAINTY;

FORECASTING; GEOMORPHOLOGY; LANDFORMS;

UNCERTAINTY ANALYSIS;

ACCURACY ASSESSMENT; DATA INTERPRETATION; GEOMORPHOLOGICAL MAPPING; NUMERICAL MODEL; PATTERNED GROUND; PERIGLACIAL LANDFORM; SPATIAL RESOLUTION; SUBARCTIC REGION; UNCERTAINTY ANALYSIS;

FINLAND;

EID: 75749140043     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2009.07.008     Document Type: Article

References (39)

1. Araújo M.B., Pearson R.G., Thuiller W., and Erhard M. Validation of species-climate impact models under climate change. Global Change Biology 11 (2005) 1504
2. Austin M. Species distribution models and ecological theory: a critical assessment and some possible new approaches. Ecological Modelling 200 (2007) 1-19
3. Brenning A., Grasser M., and Friend D.A. Statistical estimation and generalized additive modeling of rock glacier distribution in the San Juan Mountains, Colorado, United States. Journal of Geophysical Research 112 (2007) F02-S15 10.1029/2006JF000528
4. Carrara A., and Pike R.J. GIS technology and models for assessing landslide hazard and risk. Geomorphology 94 (2008) 257-260
5. Congalton R.G. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 37 (1991) 35-46
6. Drebs A., Nordlund A., Karlsson P., Helminen J., and Rissanen P. Climatological statistics of Finland 1971-2000. Climatic Statistics of Finland (2002), Finnish Meteorological Institute, Helsinki 99 pp
7. Fielding A., and Bell J. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation 24 (1997) 38-49
8. Fronzek S., Luoto M., and Carter T.R. Potential effect of climate change on the distribution of palsa mires in subarctic Fennoscandia. Climate Research 32 (2006) 1-12
9. Gruber S., and Hoelzle M. Statistical modelling of mountain permafrost distribution: local calibration and incorporation of remotely sensed data. Permafrost and Periglacial Processes 12 (2001) 69-77
10. Guisan A., and Zimmermann N.E. Predictive habitat distribution models in ecology. Ecological Modelling 135 (2000) 147-186
11. Guzzetti F., Carrara A., Cardinali M., and Reichenbach P. Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology 31 (1999) 181-216
12. Hartley S., Harris R., and Lester P.J. Quantifying uncertainty in the potential distribution of an invasive species: climate and the Argentine ant. Ecology Letters 9 (2006) 1068-1079
13. Heikkinen R.K., Luoto M., Araújo M.B., Virkkala R., Thuiller W., and Sykes M.T. Methods and uncertainties in bioclimatic envelope modelling under climate change. Progress in Physical Geography 30 (2006) 751-777
14. Hjort J. Environmental factors affecting the occurrence of periglacial landforms in Finnish Lapland: A numerical approach (2006), Shaker Verlag, Aachen 162 pp
15. Hjort J., and Luoto M. Can abundance of geomorphological features be predicted using presence-absence data?. Earth Surface Processes and Landforms 33 (2008) 741-750
16. Hjort J., Luoto M., and Seppälä M. Landscape scale determinants of periglacials features in Subarctic Finland: a grid-based modelling approach. Permafrost and Periglacial Processes 18 (2007) 115-127
17. Johnson J.B., and Omland K.S. Model selection in ecology and evolution. Trends in Ecology & Evolution 19 (2004) 101-108
18. King L., and Seppälä M. Permafrost thickness and distribution in Finnish Lapland-Results of Geoelectrical soundings. Polarforshung 57 (1987) 127-147
19. Legendre P. Spatial autocorrelation: trouble or new paradigm?. Ecology 74 (1993) 1659-1673
20. Liu C., Berry P.M., Dawson T.P., and Pearson R.G. Selecting thresholds of occurrence in the prediction of species distributions. Ecography 28 (2005) 385-393
21. Luoto M., Fronzek S., and Zuidhoff F. Spatial modelling of palsa mires in relation to climate in northern Europe. Earth Surface Processes and Landforms 29 (2004) 1373-1387
22. Luoto M., and Hjort J. Generalized linear models in periglacial studies: terrain parameters and patterned ground. Permafrost and Periglacial Processes 15 (2004) 327-338
23. Luoto M., and Hjort J. Evaluation of current statistical approaches for predictive geomorphological mapping. Geomorphology 67 (2005) 299-315
24. Luoto M., and Hjort J. Scale matters-a multi-resolution study of the determinants of patterned ground activity in subarctic Finland. Geomorphology 80 (2006) 282-294
25. Luoto M., and Seppälä M. Summit peats ('peat cakes') on the fells of Finnish Lapland: continental fragments of blanket mires?. Holocene 10 (2000) 229-241
26. Luoto M., and Seppälä M. Modelling the distribution of palsas in Finnish Lapland with logistic regression and GIS. Permafrost and Periglacial Processes 13 (2002) 17-28
27. Marmion M., Hjort J., Thuiller W., and Luoto M. A comparison of predictive methods in modelling the distribution of periglacial landforms in Finnish Lapland. Earth Surface Processes and Landforms 33 (2008) 2241-2254
28. Marmion M., Hjort J., Thuiller W., and Luoto M. Statistical consensus methods for improving predictive geomorphology maps. Computers & Geosciences 35 (2009) 615-625
29. Marmion M., Parviainen M., Luoto M., Heikkinen R.K., and Thuiller W. Evaluation of consensus methods in predictive species distribution modelling. Diversity and Distributions 15 (2009) 59-69
30. Matsuoka N. Solifluction rates, processes and landforms: a global review. Earth-Science Reviews 55 (2001) 107-134
31. Phillips S.J., Anderson R.P., and Schapire R.E. Maximum entropy modeling of species geographic distributions. Ecological Modelling 190 (2006) 231-259
32. R Development Core Team, 2004. R: A language and environment for statistical computing. Vienna, Austria; 〈http://www.R-project.org〉
33. Scull P., Franklin J., Chadwick O.A., and McArthur D. Predictive soil mapping: a review. Progress in Physical Geography 27 (2003) 171-197
34. Swets K. Measuring the accuracy of diagnostic systems. Science 240 (1988) 1285-1293
35. Thuiller W. BIOMOD-optimizing predictions of species distributions and projecting potential future shifts under global change. Global Change Biology 9 (2003) 1353-1362
36. Thuiller W. Patterns and uncertainties of species' range shifts under climate change. Global Change Biology 10 (2004) 2020-2027
37. Vitek J.D., Giardino T.R., and Fitzgerald J.W. Mapping geomorphology: a journey from paper maps, through computer mapping to GIS and virtual reality. Geomorphology 16 (1996) 233-249
38. Walsh S.J., Butler D.R., and Malanson G.P. An overview of scale, pattern, process relationships in geomorphology: a remote sensing and GIS perspective. Geomorphology 21 (1998) 183-205
39. Washburn A.L. Geocryology-A Survey of Periglacial Processes and Environments (1979), Arnold, London 406 pp