Propagating uncertainty through spatial estimation processes for old-growth subalpine forests using sequential Gaussian simulation in GIS

Ecological Modelling

Volumn 98, Issue 1, 1997, Pages 73-86

  Mowrer, H Todd ^a  

^a USDA FOREST SERVICE   (United States)

Author keywords

Geographic information system; Sequential Gaussian simulation; Stochastic elements

Indexed keywords

EID: 0030943003     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0304-3800(96)01938-2     Document Type: Article

References (18)

1. Biondi, F., Meyers, D.E. and Avery, C.C., 1994. Geostatistically modeling stem size and increment in an old-growth forest. Can. J. For. Res., 24: 1354-1368.
2. Carr, J.R. and Myers, Donald E., 1985. COSIM: A Fortran IV program for coconditional simulation. Comput. Geosci., 11(6): 675-705.
3. Cressie, N.A.C., 1991. Statistics for Spatial Data. Wiley, New York, 900 pp.
4. Deutsch, C.V. and Journel, A.G., 1992. GSLIB: Geostatistical Software Library and User's Guide, Oxford University Press, New York, 340 pp.
5. Elston, D.A. and Buckland, S.T., 1993. Statistical modelling of regional GIS data: an overview. Ecol. Model., 67: 81-102.
6. Englund, E. and Sparks, A., 1991. Geo-Eas 1.2.1 Geostatistical Environmental Assessment Software User's Guide. U.S. Environmental Protection Agency, Las Vegas, Nevada, USA, 120 pp.
7. Gotway, C.A., 1994. The use of conditional simulation in nuclear waste-site performance assessment. Technometrics, 34(2): 129-141.
8. Haining, R. and Arbia, G., 1993. Error propagation though map operations. Technometrics, 35(3): 293-305.
9. Isaaks, E.H. and Srivastava, R.M., 1989. An Introduction to Applied Geostatistics. Oxford University Press, New York, 561 pp.
10. Journel, A.G., 1974. Geostatistics for conditional simulation of ore bodies, Econ. Geol., 69: 673-687.
11. Liebhold, A.M., Rossi, R.E. and Kemp, W.P., 1993. Geostatistics and geographic information systems in applied insect ecology. Ann. Rev. Entomol., 38: 303-327.
12. Mehl, M., 1992. Old-growth descriptions for the major forest cover types in the Rocky Mountain Region. In: Old-Growth Forests in the Southwest and Rocky Mountain Regions: Proc. of a Workshop. USDA Forest Service, Fort Collins, CO, General Technical Report RM-213, pp. 106-120.
13. Mowrer, H.T., 1991. Estimating components of propagated variance in growth simulation model projections. Can. J. For. Res., 21: 379-386.
14. Mowrer, H.T., 1994. Spatially quantifying attribute uncertainties in input data for propagation through raster-based GIS. In: Proc. of the Eighth Annual Symp. on Geographic Information Systems in Forestry, Environmental and Natural Resources Management, February 21-24, 1994, Vancouver, B.C. Polaris Conferences, Vancouver, B.C., pp. 371-382.
15. Pohlmann, H., 1993. Geostatistical modelling of environmental data. CATENA 20: 191-198.
16. Rogowski, A.S. and Wolf, J.K., 1994. Incorporating variability into soil map unit delineations. J. Soil Sci. Soc. Am., 58: 163-174.
17. Rossi, R.E., Mulla, D.J., Journel, A.G. and Franz, E.H., 1992. Geostatistical tools for modelling and interpreting ecological spatial dependence. Ecol. Monogr., 62(2): 277-314.
18. Wingle, W.L. and Poeter, E.P., 1993. Uncertainty associated with semivariograms used for site simulation. Ground Water 31(5): 725-734.