11.8 References
Australia: Commonwealth Scientific and Industrial
Research Organization: 74-80.
Crossland, M. D.; Wynne, B. E.; Perkins, W. C. 1995.
Spatial decision support systems: An overview of technology and a test of efficacy. Decis. Support Syst.
14:219-235.
Curran, P. J. 1987. Remote sensing methodologies and
geography. Int. J. Remote Sens. 8:1255-1275.
Curry, M. R. 1997. The digital individual and the private
realm. Ann. Assoc. Amer. Geogr.: 681-699.
Daly, c.; Taylor, G. H. 1996. Development of a new Oregon precipitation map using the PRISM model. In:
Goodchild, M. F.; Steyaert, L. T.; Parks, B. 0., eds.
GIS and environmental modeling: progress and research issues. Fort Collins, CO: GIS World Books:
91-92.
Daly, C.; Neilson, R. P.; Phillips, D. L. 1994. A statistical-topographic model for mapping climatological
precipitation over mountainous terrain. J. Appl. Meteorol.33:140--158.
Davis, F. W.; Stine, P. A.; Stoms, D. M.; Borchert,
M. I.; Hollander, A. 1995. Gap analysis of the actual
vegetation of California: 1. The southwestern region.
Madrono 42:40--78.
DeMers, M. 1991. Classification and purpose in automated vegetation maps. Geogr. Rev. 81:267-280.
Dubayah, R. C. 1994. Modeling a solar radiation topoclimatology for the Rio Grande River Basin. J. Veg. Sci.
5:627-640.
Dubayah, R.; Rich, P. M. 1995. Topographic solar radiation for GIS. Int. J. Geogr. In! Syst. 9:405-419.
Egenhofer, M. J.; Golledge, R. G. 1998. Spatial and temporal reasoning in geographic information systems.
New York: Oxford University Press.
Ehleringer, J. R.; Field, C. B., editors. 1993. Scaling
physiological processes: leaf to globe. San Diego, CA:
Academic Press.
Ehlers, M.; Greenlee, D.; Smith, T.; Star, J. 1991. Integration of remote sensing and GIS: data and data access. Photogramm. Eng. Remote Sensing 57:669-675.
Elston, D. A.; Buckland, S. T. 1993. Statistical modelling of regional GIS data: an overview. Eco!. Model.
67:81-102.
Estes, J. E.; Mooneyhan, D. W. 1994. Of maps and
myths. Photogramm. Eng. Remote Sensing 60:517524.
Foody, G. M.; Curran, P. J., editors. 1994. Environmental remote sensing from regional to global scales.
Chichester, UK: John Wiley & Sons.
Franklin, J. 1995. Predictive vegetation mapping: geographic modeling of biospatial patterns in relation to
environmental gradients. Prog. Phys. Geog. 19:474499.
Franklin, J.; Woodcock, C. E. 1997. Multiscale vegetation data for the mountains of Southern California:
spatial and categorical resolution. In: Quattrochi,
D. A.; Goodchild, M. F., eds. Scale in remote sensing
and GIS. Boca Raton, FL: CRClLewis Publishers:
141-168.
Franklin, J.; McCullough, P.; Gray, C. 2000. Terrain
159
variables used for predictive mapping of vegetation
communities in Southern California. In: Gallant J.;
Wilson, J., eds. Terrain analysis: principles and applications. New York: John Wiley & Sons: 331-353.
Franklin, J. C.; Woodcock, C. E.; Warbington, R. 2000.
Digital vegetation maps of forest lands in California:
Integrating satellite imagery, GIS modeling, and field
data in support of resource management. Photogrammetric Engineering and Remote Sensing 66:12091217.
Franklin, J. F. 1993a. The fundamentals of ecosystem
management with applications in the Pacific Northwest. In: Aplet, G. H., et a!., eds. Defining sustainable
forestry. Washington, DC: Island Press: 127-143.
Franklin, J. F. 1993b. Preserving biodiversity: species,
ecosystems, or landscapes? Eco!. App!. 3:202-205.
Fuller, R. M.; Groom, G. B.; Jones, A. R. 1994. The land
cover map of Great Britain: an automated classification of Landsat Thematic Mapper data. Photogramm.
Eng. Remote Sensing 60:553-562.
Glassy, J. M.; Running, S. W. 1994. Validating diurnal
climatology logic of the MT -CUM model across a climatic gradient in Oregon. Eco!. Appl. 4:248-257.
Goodchild, M.F. 1985. Geographic information systems in undergraduate geography: a contemporary
dilemma. Operational Geographer 8:34-38.
Goodchild, M. F. 1988. Stepping over the line: technological constraints and the new cartography. Amer.
Cartographer 15:311-319.
Goodchild, M. F. 1992a. Geographical data modeling.
Comput. Geosci. 18:401-408.
Goodchild, M. F. 1992b. Geographical information science. Int. J. Geogr. In! Syst. 6:31-45.
Goodchild, M. F. 1994. Integrating GIS and remote sensing for vegetation analysis and modeling: methodological issues. J. Veg. Sci. 5:615-626.
Goodchild, M. F.; Gopal, S., editors. 1989. The accuracy
of spatial databases. London: Taylor & Francis.
Goodchild, M. F.; Guoqing, S.; Shiren, Y. 1992. Development and test of an error model for categorical data.
Int. J. Geogr. In! Syst. 6:87-104.
Goodchild, M. F.; Parks, B. 0.; Stayaert, L. T., editors.
1993. Environmental modeling with GIS. New York:
Oxford University Press.
Goodchild, M. F.: Steyaert, L. T.; Parks, B. 0., editors.
1996. GIS and environmental modeling: progress and
research issues. Fort Collins, CO: GIS World Books.
He, H.; Mladenoff, D. J. 1999. Dynamics of fire disturbance and succession on a heterogeneous forest landscape: a spatially explicit and stochastic simulation approach. Ecology 80:81-99.
Hearnshaw, H. M.; Unwin, D. J., editors. 1994. Visualization in geographical information systems. New
York: John Wiley & Sons.
Heuvelink, G. B. M.; Burrough, P. A. 1993. Error propagation in cartographic modelling using Boolean logic
and continuous classification. Int. J. Remote Sens.
7:231-246.
Hunsaker, C. T.; Nisbet, R. A.; Lam, D. C. L.; Browder,
J. A.; Baker, W. L.; Turner, M. G.; Botkin, D. B. 1993.
Australia: Commonwealth Scientific and Industrial
Research Organization: 74-80.
Crossland, M. D.; Wynne, B. E.; Perkins, W. C. 1995.
Spatial decision support systems: An overview of technology and a test of efficacy. Decis. Support Syst.
14:219-235.
Curran, P. J. 1987. Remote sensing methodologies and
geography. Int. J. Remote Sens. 8:1255-1275.
Curry, M. R. 1997. The digital individual and the private
realm. Ann. Assoc. Amer. Geogr.: 681-699.
Daly, c.; Taylor, G. H. 1996. Development of a new Oregon precipitation map using the PRISM model. In:
Goodchild, M. F.; Steyaert, L. T.; Parks, B. 0., eds.
GIS and environmental modeling: progress and research issues. Fort Collins, CO: GIS World Books:
91-92.
Daly, C.; Neilson, R. P.; Phillips, D. L. 1994. A statistical-topographic model for mapping climatological
precipitation over mountainous terrain. J. Appl. Meteorol.33:140--158.
Davis, F. W.; Stine, P. A.; Stoms, D. M.; Borchert,
M. I.; Hollander, A. 1995. Gap analysis of the actual
vegetation of California: 1. The southwestern region.
Madrono 42:40--78.
DeMers, M. 1991. Classification and purpose in automated vegetation maps. Geogr. Rev. 81:267-280.
Dubayah, R. C. 1994. Modeling a solar radiation topoclimatology for the Rio Grande River Basin. J. Veg. Sci.
5:627-640.
Dubayah, R.; Rich, P. M. 1995. Topographic solar radiation for GIS. Int. J. Geogr. In! Syst. 9:405-419.
Egenhofer, M. J.; Golledge, R. G. 1998. Spatial and temporal reasoning in geographic information systems.
New York: Oxford University Press.
Ehleringer, J. R.; Field, C. B., editors. 1993. Scaling
physiological processes: leaf to globe. San Diego, CA:
Academic Press.
Ehlers, M.; Greenlee, D.; Smith, T.; Star, J. 1991. Integration of remote sensing and GIS: data and data access. Photogramm. Eng. Remote Sensing 57:669-675.
Elston, D. A.; Buckland, S. T. 1993. Statistical modelling of regional GIS data: an overview. Eco!. Model.
67:81-102.
Estes, J. E.; Mooneyhan, D. W. 1994. Of maps and
myths. Photogramm. Eng. Remote Sensing 60:517524.
Foody, G. M.; Curran, P. J., editors. 1994. Environmental remote sensing from regional to global scales.
Chichester, UK: John Wiley & Sons.
Franklin, J. 1995. Predictive vegetation mapping: geographic modeling of biospatial patterns in relation to
environmental gradients. Prog. Phys. Geog. 19:474499.
Franklin, J.; Woodcock, C. E. 1997. Multiscale vegetation data for the mountains of Southern California:
spatial and categorical resolution. In: Quattrochi,
D. A.; Goodchild, M. F., eds. Scale in remote sensing
and GIS. Boca Raton, FL: CRClLewis Publishers:
141-168.
Franklin, J.; McCullough, P.; Gray, C. 2000. Terrain
159
variables used for predictive mapping of vegetation
communities in Southern California. In: Gallant J.;
Wilson, J., eds. Terrain analysis: principles and applications. New York: John Wiley & Sons: 331-353.
Franklin, J. C.; Woodcock, C. E.; Warbington, R. 2000.
Digital vegetation maps of forest lands in California:
Integrating satellite imagery, GIS modeling, and field
data in support of resource management. Photogrammetric Engineering and Remote Sensing 66:12091217.
Franklin, J. F. 1993a. The fundamentals of ecosystem
management with applications in the Pacific Northwest. In: Aplet, G. H., et a!., eds. Defining sustainable
forestry. Washington, DC: Island Press: 127-143.
Franklin, J. F. 1993b. Preserving biodiversity: species,
ecosystems, or landscapes? Eco!. App!. 3:202-205.
Fuller, R. M.; Groom, G. B.; Jones, A. R. 1994. The land
cover map of Great Britain: an automated classification of Landsat Thematic Mapper data. Photogramm.
Eng. Remote Sensing 60:553-562.
Glassy, J. M.; Running, S. W. 1994. Validating diurnal
climatology logic of the MT -CUM model across a climatic gradient in Oregon. Eco!. Appl. 4:248-257.
Goodchild, M.F. 1985. Geographic information systems in undergraduate geography: a contemporary
dilemma. Operational Geographer 8:34-38.
Goodchild, M. F. 1988. Stepping over the line: technological constraints and the new cartography. Amer.
Cartographer 15:311-319.
Goodchild, M. F. 1992a. Geographical data modeling.
Comput. Geosci. 18:401-408.
Goodchild, M. F. 1992b. Geographical information science. Int. J. Geogr. In! Syst. 6:31-45.
Goodchild, M. F. 1994. Integrating GIS and remote sensing for vegetation analysis and modeling: methodological issues. J. Veg. Sci. 5:615-626.
Goodchild, M. F.; Gopal, S., editors. 1989. The accuracy
of spatial databases. London: Taylor & Francis.
Goodchild, M. F.; Guoqing, S.; Shiren, Y. 1992. Development and test of an error model for categorical data.
Int. J. Geogr. In! Syst. 6:87-104.
Goodchild, M. F.; Parks, B. 0.; Stayaert, L. T., editors.
1993. Environmental modeling with GIS. New York:
Oxford University Press.
Goodchild, M. F.: Steyaert, L. T.; Parks, B. 0., editors.
1996. GIS and environmental modeling: progress and
research issues. Fort Collins, CO: GIS World Books.
He, H.; Mladenoff, D. J. 1999. Dynamics of fire disturbance and succession on a heterogeneous forest landscape: a spatially explicit and stochastic simulation approach. Ecology 80:81-99.
Hearnshaw, H. M.; Unwin, D. J., editors. 1994. Visualization in geographical information systems. New
York: John Wiley & Sons.
Heuvelink, G. B. M.; Burrough, P. A. 1993. Error propagation in cartographic modelling using Boolean logic
and continuous classification. Int. J. Remote Sens.
7:231-246.
Hunsaker, C. T.; Nisbet, R. A.; Lam, D. C. L.; Browder,
J. A.; Baker, W. L.; Turner, M. G.; Botkin, D. B. 1993.