The simulation of land-cover change using a distributed computing environment

Simulation Practice and Theory

Volumn 5, Issue 6, 1997, Pages 489-514

  Hazen, B C ^a   Berry, M W ^a  

^a University of Tennessee   (United States)

Author keywords

Distributed computing environment; Geographic information system (GIS); Habitat suitability; Land cover change simulation; Parallel implementation; Socioeconomic model

Indexed keywords

COMPUTER WORKSTATIONS; ECOLOGY; GEOGRAPHIC INFORMATION SYSTEMS; PARALLEL PROCESSING SYSTEMS; VIRTUAL REALITY;

LAND COVER CHANGE SIMULATION; PARALLEL VIRTUAL MACHINE (PVM);

COMPUTER SIMULATION;

EID: 0031207890     PISSN: 09284869     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0928-4869(96)00026-2     Document Type: Article

References (30)

1. W.L. Baker, Y. Cai, The r . L e programs for multiscale analysis of landscape structure using the GRASS geographical information system, Landscape Ecol. 7 (4) (1992) 291-302.
2. M. Berry, J. Comiskey, K. Minser, Parallel analysis of clusters in landscape ecology, IEEE Comput. Sei. Eng. 1 (2) (1994) 24-38.
3. M.W. Berry, R.O. Flamm, B.C. Hazen, R.L. MacIntyre, LUCAS: A system for modeling land-use change, IEEE Comput. Sci. Eng. 3(1) (1996) 24-35.
4. P. Bratley, B.L. Fox, L.E. Schrage, A Guide to Simulation, 2nd ed., Springer-Verlag, New York, 1987.
5. E.F. Carter, The generation and application of random numbers, Forth Dimensions, XVI (1-2) (1994).
6. ERDAS Field Guide, ERDAS, Atlanta, GA, 1994.
7. R.O. Flamm, M.G. Turner, Alternative model formulations for a stochastic simulation of landscape change, Landscape Ecol. 9(1) (1994) 37-46.
8. R.O. Flamm, M.G. Turner, GIS applications perspective, Multidisciplinaxy modeling and GIS for landscape management, in: V. Alaric Sample (Ed.), Forest Ecosystem Management at the Landscape Level, The Role of Remote Sensing and Integrated GIS in Resource Management Planning, Analysis and Decision Making, Island Press, Washington, D.C., 1994, pp. 201-212.
9. R. Gardner, R.V. O'Neill, M.G. Turner, Ecological implications of landscape fragmentation, in: S.T.A. Pickett, M.J. McDonnell (Eds.), Humans as Components of Ecosystems, Subtle Human Effects and the Ecology of Populated Areas, Springer-Verlag, New York, 1992.
10. A. Geist et al., PVM. Parallel Virtual Machine a User's Guide and Tutorial for Networked Parallel Computing, MIT Press, Cambridge, MA, 1994.
11. B.C. Hazen, A Distributed Implementation of the Land-Use Change Analysis System (LUCAS) using PVM. Master's thesis, University of Tennessee, Knoxville, August 1995.
12. B.C. Hazen, M.W. Berry, The Design of the Land-Use Change Analysis System (LUCAS). Part II: Parallel and Distributed Implementation, Technical Report CS-95-298, University of Tennessee, Knoxville, August 1995.
13. K. Hwang, Advanced Computer Architecture, Parallelism, Scalability, Programmability, McGraw-Hill, New York, 1993.
14. B.W. Kernighan, D.M. Ritchie, The C Programming Language, 2nd ed., Prentice Hall, Englewood Cliffs, NJ, 1988.
15. S. Kirkpatrick, E.P. Stoll, A very fast shift-register sequence random number generator, J. Comput. Phys. 40 (1981) 517-526.
16. D.H. Lehmer, Mathematical methods in large-scale computing units, in: 2nd Symposium on Large-Scale Digital Calculating Machinery, Harvard University Press, Cambridge, MA, 1951, pp. 141-146.
17. R.L. MacIntyre, A graphical user interface for the land-use change analysis system, Master's thesis, University of Tennessee, Knoxville, December 1994.
18. R.L. MacIntyre, B.C. Hazen, M.W. Berry, The Design of the Land-Use Change Analysis System (LUCAS), Part I: Graphical User Interface, Technical Report CS-94-266, University of Tennessee, Knoxville, December 1994.
19. D.D. McCracken, The Monte Carlo method, Sci. Am. 192 (5) (1955) 90-96.
20. H. Niederreiter, Random Number Generation and Quasi-Monte Carlo Methods, SIAM, Philadelphia, 1992.
21. J.K. Ousterhout, Tcl and the Tk Toolkit, Addison-Wesley, Reading, MA, April 1994.
22. S.K. Park, K.W. Miller, Random number generators: Good ones are hard to find, Commun. ACM 31 (10) (1988) 1192-1200.
23. S.M. Pearson, Simulating the impacts of land cover change on native species in two forested watersheds. Ecol. Appl., July (1995), submitted.
24. R.Y. Rubinstein, Simulation and the Monte Carlo Method, Wiley Series in Probability and Mathematical Statistics, John Wiley and Sons, New York, 1981.
25. SAS User's Guide, Statistics, SAS Institute, Cary, NC, 1992.
26. J.C. Trexler, J. Travis, Nontraditional regression analyses, Ecology 74 (6) (1993) 1629-1637.
27. M.G. Turner, D.N. Wear, R.O. Flamm, Influence of land ownership on land-cover change in the southern Appalachian Highlands and the Olympic Peninsula, Ecol. Appl. (1996), in press.
28. GRASS 4.1 User's Reference Manual, U.S. Army Construction Engineering Research Laboratory, Champaign, IL, Spring 1993.
29. D.N. Wear, R.O. Flamm, Public and private forest disturbance regimes in the southern Appalachians, Nat. Res. Model. 7 (4) (1993) 379-397.
30. D.N. Wear, M.G. Turner, R.O. Flamm, Ecosystem management in a multi-ownership setting: Exploring landscape dynamics in a southern Appalachian watershed, Ecol. Appl. (1995), in press.