160
Geographic Information Science and Ecological Assessment
Spatial models of ecological systems and processes:
the role of GIS. In: Goodchild, M. F.; Parks, B. 0.;
Stayaert, L. T., eds. Environmental modeling with GIS.
New York: Oxford University Press: 248-264.
Hutchinson, M. F. 1984. A summary of some surface fitting and contouring programs for noisy data. Volume
Consulting Report No. ACT 84/6. Canberra, ACT,
Australia: Commonwealth Scientific and Industrial
Research Organization, Division of Mathematics and
Statistics and Division of Water and Land Resources.
Hutchinson, M. F. 1987. Methods for generation of
weather sequences. Bunting, A. H., editor. Agricultural environments: characterisation, classification
and mapping. Wa1ingford: CAB International: 149157.
Hutchinson, M. F. 1996. Thin plate spline interpolation
of mean rainfall. 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: 85-90.
Hutchinson, M. F.; Gallant, J. e. 2000. Digital elevation
models and representation of terrain shape. In: Gallant
J.; Wilson, J., eds. Terrain analysis: principles and applications. New York: John Wiley & Sons: 29-50.
Hutchinson, M. F.; Gessler, P. E. 1994. Splines-more
than just a smooth interpolator. Geoderma 62:45-67.
Hutchinson, M. F.; Nix, H. A.; McMahon, J. P.; Ord K.
D. 1996. The development of a topographic and climatic database for Africa. Proceedings, Third International Conference on Integrating GIS and Environmental Modeling, Santa Fe, NM, January 21-16,1996.
Santa Barbara, CA: National Center for Geographic
Information and Analysis (http://www.ncgia.ucsb.edu/
conf/SANT AFECD-ROM/main.html).
Journel, A. G. 1996. Modelling uncertainty and spatial
dependence: stochastic imaging. Int. 1. Geogr. Inf
Syst. 10:517-522.
Kohm, K. A; Franklin, J. F. 1997. Creating a forestry
for the 21st century: the science of ecosystem management. Washington, DC: Island Press.
Kraak, M. J.; Mueller, J.e.; Ormeling, F. 1995. GIS cartography: visual decision support for spatio-tempora1
data handling. Int. 1. Geogr. Inf Syst. 9:637-645.
Lam, N. S. N.; Quattrochi, D. A 1992. On the issues of
scale, resolution and fractal analysis in the mapping
sciences. Prof Geogr. 44:88-98.
Lauer, D. T.; Estes, J. E.; Jensen, J. R.; Greenlee, D. D.
1991. Institutional issues affecting the integration and
use of remotely sensed data and geographic information systems. Photogramm. Eng. Remote Sensing
57:647-654.
Levin, S. A. 1992. The problem of pattern and scale in
ecology. Ecology 73:1943-1967.
Lodwick, W. A; Monson, W.; Svoboda, L. 1990. Attribute error and sensitivity analysis of map operations
in geographical information systems: suitability analysis. Int. 1. Geogr. Inf. Syst. 4:413-428.
Loveland, T. R.; Merchant, J. W.; Ohlen, D.; Brown,
J. F. 1991. Development of a land cover characteristics database for the conterminous U.S. Photogramm.
Eng. Remote Sensing 57:1453-1463.
Lunetta, R. S.; Congalton, R. G.; Fenstermaker, L. K.;
Jensen, J. R.; McGwire, K. e.; Tinney, L. R. 1991.
Remote sensing and geographic information system
data integration: error sources and research issues.
Photogramm. Eng. Remote Sensing 57:677-687.
MacEchren, A. M.; Fraser Taylor, D. R., editors. 1994.
Visualization in modern cartography. Kidlington, Oxford, UK: PergamonlElsevier Science.
Maguire, D. J.; Goodchild, M. F;. Rhind, D. W., editors.
1991. Geographical information systems: principles
and applications. New York: John Wiley & Sons.
McHarg, I. L. 1969. Design with nature. New York: John
Wiley & Sons.
McNab, W. H. 1993. A topographic index to quantify
the effect of mesoscale landform on site productivity.
Can. 1. For. Res. 23:1100-1107.
Meentemeyer, V. 1989. Geographical perspectives of
space, time and scale. Landscape Ecol. 3:163-173.
Monmonier, M. S. 1996. How to lie with maps, 2nd ed.
Chicago: University of Chicago Press.
Moore, I. D.; Grayson, R. B.; Ladson, A R. 1991. Digital terrain modeling: a review of hydrological, geomorphologic and biological applications. Hydrol.
Process. 5:3-30.
Morgan, J. M., III. 1987. Academic geographic information systems education: a commentary. Photogramm. Eng. Remote Sensing 53:1443-1445.
National Institute of Standards and Technology. 1992.
PIPS PUB 173: Spatial data transfer standards
(SDTS). Washington, DC: U.S. Dept. Commerce.
Nemani, R.; Running, S. 1997. Land cover characterization using multitemporal red, near-IR, and thermal-IR
data from NOANAVHRR. Ecol. Appl. 1:79-90.
Newell, R. G.; Theriault, D.; Easterfield, M. 1992. Temporal GIS B modeling the evolution of spatial data in
time. Comput. Geosci. 18:427-433.
Obermeyer, N. J.; Pinto, J. K. 1994. Managing geographic information systems. New York: Guilford
Press.
Parks, B. O. 1993. The need for integration. In: Goodchild, M. F.; Parks, B. 0.; Stayaert, L. T., eds. Environmental modeling with GIS. New York: Oxford University Press: 31-34.
Peuquet, D. J. 1994. It's about time: a conceptual framework for the representation of temporal dynamics in
Geographic Information Systems. Ann. Assoc. Amer.
Geogr. 84:441-461.
Quattrochi, D. A.; Goodchild, M. F., editors. 1997. Scale
in remote sensing and GIS. Boca Raton, FL:
CRClLewis Publishers Inc.
Running, S. W.; Thornton, P. E. 1996. Generating daily
surfaces of temperature and precipitation over complex topography. In: Goodchild, M. F.; Steyaert, L. T.;
Parks, B. 0., editors. GIS and environmental modeling: progress and research issues. Fort Collins, CO:
GIS World Books: 93-98.
Running, S. W.; Nemani, R. R.; Hungerford, R. D. 1987.
Extrapolation of synoptic meteorological data in
mountainous terrain and its use for simulating forest
evapotranspiration and photosynthesis. Can. 1. For.
Res. 17:472-483.
Geographic Information Science and Ecological Assessment
Spatial models of ecological systems and processes:
the role of GIS. In: Goodchild, M. F.; Parks, B. 0.;
Stayaert, L. T., eds. Environmental modeling with GIS.
New York: Oxford University Press: 248-264.
Hutchinson, M. F. 1984. A summary of some surface fitting and contouring programs for noisy data. Volume
Consulting Report No. ACT 84/6. Canberra, ACT,
Australia: Commonwealth Scientific and Industrial
Research Organization, Division of Mathematics and
Statistics and Division of Water and Land Resources.
Hutchinson, M. F. 1987. Methods for generation of
weather sequences. Bunting, A. H., editor. Agricultural environments: characterisation, classification
and mapping. Wa1ingford: CAB International: 149157.
Hutchinson, M. F. 1996. Thin plate spline interpolation
of mean rainfall. 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: 85-90.
Hutchinson, M. F.; Gallant, J. e. 2000. Digital elevation
models and representation of terrain shape. In: Gallant
J.; Wilson, J., eds. Terrain analysis: principles and applications. New York: John Wiley & Sons: 29-50.
Hutchinson, M. F.; Gessler, P. E. 1994. Splines-more
than just a smooth interpolator. Geoderma 62:45-67.
Hutchinson, M. F.; Nix, H. A.; McMahon, J. P.; Ord K.
D. 1996. The development of a topographic and climatic database for Africa. Proceedings, Third International Conference on Integrating GIS and Environmental Modeling, Santa Fe, NM, January 21-16,1996.
Santa Barbara, CA: National Center for Geographic
Information and Analysis (http://www.ncgia.ucsb.edu/
conf/SANT AFECD-ROM/main.html).
Journel, A. G. 1996. Modelling uncertainty and spatial
dependence: stochastic imaging. Int. 1. Geogr. Inf
Syst. 10:517-522.
Kohm, K. A; Franklin, J. F. 1997. Creating a forestry
for the 21st century: the science of ecosystem management. Washington, DC: Island Press.
Kraak, M. J.; Mueller, J.e.; Ormeling, F. 1995. GIS cartography: visual decision support for spatio-tempora1
data handling. Int. 1. Geogr. Inf Syst. 9:637-645.
Lam, N. S. N.; Quattrochi, D. A 1992. On the issues of
scale, resolution and fractal analysis in the mapping
sciences. Prof Geogr. 44:88-98.
Lauer, D. T.; Estes, J. E.; Jensen, J. R.; Greenlee, D. D.
1991. Institutional issues affecting the integration and
use of remotely sensed data and geographic information systems. Photogramm. Eng. Remote Sensing
57:647-654.
Levin, S. A. 1992. The problem of pattern and scale in
ecology. Ecology 73:1943-1967.
Lodwick, W. A; Monson, W.; Svoboda, L. 1990. Attribute error and sensitivity analysis of map operations
in geographical information systems: suitability analysis. Int. 1. Geogr. Inf. Syst. 4:413-428.
Loveland, T. R.; Merchant, J. W.; Ohlen, D.; Brown,
J. F. 1991. Development of a land cover characteristics database for the conterminous U.S. Photogramm.
Eng. Remote Sensing 57:1453-1463.
Lunetta, R. S.; Congalton, R. G.; Fenstermaker, L. K.;
Jensen, J. R.; McGwire, K. e.; Tinney, L. R. 1991.
Remote sensing and geographic information system
data integration: error sources and research issues.
Photogramm. Eng. Remote Sensing 57:677-687.
MacEchren, A. M.; Fraser Taylor, D. R., editors. 1994.
Visualization in modern cartography. Kidlington, Oxford, UK: PergamonlElsevier Science.
Maguire, D. J.; Goodchild, M. F;. Rhind, D. W., editors.
1991. Geographical information systems: principles
and applications. New York: John Wiley & Sons.
McHarg, I. L. 1969. Design with nature. New York: John
Wiley & Sons.
McNab, W. H. 1993. A topographic index to quantify
the effect of mesoscale landform on site productivity.
Can. 1. For. Res. 23:1100-1107.
Meentemeyer, V. 1989. Geographical perspectives of
space, time and scale. Landscape Ecol. 3:163-173.
Monmonier, M. S. 1996. How to lie with maps, 2nd ed.
Chicago: University of Chicago Press.
Moore, I. D.; Grayson, R. B.; Ladson, A R. 1991. Digital terrain modeling: a review of hydrological, geomorphologic and biological applications. Hydrol.
Process. 5:3-30.
Morgan, J. M., III. 1987. Academic geographic information systems education: a commentary. Photogramm. Eng. Remote Sensing 53:1443-1445.
National Institute of Standards and Technology. 1992.
PIPS PUB 173: Spatial data transfer standards
(SDTS). Washington, DC: U.S. Dept. Commerce.
Nemani, R.; Running, S. 1997. Land cover characterization using multitemporal red, near-IR, and thermal-IR
data from NOANAVHRR. Ecol. Appl. 1:79-90.
Newell, R. G.; Theriault, D.; Easterfield, M. 1992. Temporal GIS B modeling the evolution of spatial data in
time. Comput. Geosci. 18:427-433.
Obermeyer, N. J.; Pinto, J. K. 1994. Managing geographic information systems. New York: Guilford
Press.
Parks, B. O. 1993. The need for integration. In: Goodchild, M. F.; Parks, B. 0.; Stayaert, L. T., eds. Environmental modeling with GIS. New York: Oxford University Press: 31-34.
Peuquet, D. J. 1994. It's about time: a conceptual framework for the representation of temporal dynamics in
Geographic Information Systems. Ann. Assoc. Amer.
Geogr. 84:441-461.
Quattrochi, D. A.; Goodchild, M. F., editors. 1997. Scale
in remote sensing and GIS. Boca Raton, FL:
CRClLewis Publishers Inc.
Running, S. W.; Thornton, P. E. 1996. Generating daily
surfaces of temperature and precipitation over complex topography. In: Goodchild, M. F.; Steyaert, L. T.;
Parks, B. 0., editors. GIS and environmental modeling: progress and research issues. Fort Collins, CO:
GIS World Books: 93-98.
Running, S. W.; Nemani, R. R.; Hungerford, R. D. 1987.
Extrapolation of synoptic meteorological data in
mountainous terrain and its use for simulating forest
evapotranspiration and photosynthesis. Can. 1. For.
Res. 17:472-483.