198
Elements of Spatial Data Analysis in Ecological Assessments
Cox, N. J.; Jones, K. 1981. Exploratory data analysis. In:
Wrigley, N.; Bennet, R. J., eds. Quantitative geography. London: Routledge & Kegan Paul.
Craig, R. G. 1979. Sources of variation in LANDSAT
autocorrelation. In: Proceedings of the international
symposium on remote sensing of the environment, Ann
Arbor, MI: 1517-1524.
Cressie, N. A. C. 1991. Statistics for spatial data. New
York: John Wiley & Sons.
Cressie, N.; Read, T. R. C. 1989. Spatial data analysis
of regional counts. Biometrical J. 6:699-719.
Dale, M. R. T. 1999. Spatial pattern analysis in plant
ecology. Cambridge, UK: Cambridge University
Press.
David, M. 1977. Geostatistical ore reserve estimation. In:
Developments in geomathematics. 2. Amsterdam: Elsevier Science.
Davis, F. W.; Quattrochi, D. A.; Ridd, M. K.; Lam,
N. S.-N.; Walsh, S. J.; Michaelsen, J. c.; Franklin, J.;
Stow, D. A.; Johannsen, C. J.; Johnston, C. A. 1991.
Environmental analysis using integrated GIS and remotely sensed data: some research needs and priorities. Photogramm. Eng. Remote Sensing 57:689-697.
Diaconis, P. 1985. Theories of data analysis: from magical thinking through classical statistics. In: Hoaglin,
D. C.; Mosteller, F. M.; Tukey, J. W., eds. Exploring
data tables. New York: John Wiley & Sons: 1-36.
Dutilleul, P.; Legendre, P. 1993. Spatial heterogeneity
against heteroscedasticity: an ecological paradigm versus a statistical concept. Oikos 66:152-171.
Fortin, M.-J. 1999a. Spatial statistics in landscape ecology. In: Klopatek, J. M.; Gadne, R. H., eds. Landscape
ecological analysis: issues and applications. New
York: Springer-Verlag: 253-279.
Fortin, M.-J. 1999b. Effects of quadrat size and data measurement on the detection of boundaries. J. Veg. Sci.
10:43-50.
Fortin, M.-J.; Drapeau, P.; Legendre, P. 1989. Spatial autocorrelation and sampling design in plant ecology.
Vegetatio 83:209-222.
Fortin, J.-J.; Drapeau, P.; Jacquez, G. M. 1996. Statistics
to assess spatial relationships between ecological
boundaries. Oikos 77:51-60.
Griffith, D. A. 1988. Estimating spatial autoregressive
model parameters with commercial statistical packages. Geogr. Anal. 20:176-186.
Gustafson, E. J. 1998. Quantifying landscape spatial pattern: what is the state of the art? Ecosystems
1:143-156.
Haining, R. 1990. Spatial data analysis in the social and
environmental sciences. Cambridge, UK: Cambridge
University Press.
Hammer, R. D. 1998. Space and time in the soil landscape: the ill-defined ecological universe. In: Peterson,
D. L.; Parker, V. T., eds. Ecological scale: theory and
applications. New York: Columbia University Press:
105-140.
Hampel, F. R.; Ronchetti, E. M.; Rousseeuw, P. J.; Stahel, W. A. 1986. Robust statistics. New York: John
Wiley & Sons.
Hargis, C. D.; Bissonette, J. A.; David, J. L. 1997. Understanding measures of landscape pattern. In: Bissonette, J. A., ed. Wildlife and landscape ecology. New
York: Springer-Verlag: 231-261.
Hargis, C. D.; Bissonette. J. A.; David, J. L. 1998. The
behavior of landscape metrics commonly used in the
study of habitat fragmentation. Landscape Ecol. 13:
167-168.
Heuvelink, G. B. M. 1998. Error propagation in environmental modeling with GIS. London: Taylor and
Francis.
Hoaglin, D. C.; Mosteller, F.; Tukey, 1. W. 1983. Understanding robust and exploratory data analysis.
New York: John Wiley & Sons.
Hoaglin, D. C.; Mosteller, F.; Tukey, J. W. 1985. Exploring data tables, trends and shapes. New York:
John Wiley & Sons.
Hunsaker, C. H.; O'Neill, R. V.; Jackson, B. L.; Timmins, S. P.; Levine, D. A.; Norton, D. J. 1994. Sampling to characterize landscape pattern. Landscape
Ecol. 9:207-226.
Joumel, A. G.; Huijbregts, C. J. 1978. Mining geostatistics. London: Academic Press.
King, A. W. 1997. Hierarchy theory: a guide to system
structure for wildlife biologists. In: Bissonette, J. A.,
ed. Wildlife and landscape ecology. New York:
Springer-Verlag: 185-212.
Kolasa, J.; Rollo, C. D. 1991. Introduction: the heterogeneity of heterogeneity-a glossary. In: Kolasa, J.;
Pickett, S. T. A., eds. Ecological heterogeneity. New
York: Springer-Verlag: 1-23.
Labovitz, M. L.; Masuoka, E. J. 1984. The influence of
autocorrelation in signature extraction: an example
from a geobotanical investigation of Cotter Basin,
Montana. Int. J. Remate Sens. 5:315-332.
Leamer, E. E. 1978. Specification searches: ad hoc inference with non experimental data. New York: John
Wiley & Sons.
Legendre, P. 1993. Spatial autocorrelation: trouble or
new paradigm. Ecology 74:1659-1673.
Legendre, P.; Fortin, M.-J. 1989. Spatial pattern and ecological analysis. Vegetation 80:107-138.
Legendre, P.; Legendre, L. 1998. Numerical ecology.
Amsterdam: Elsevier Science B.V.
Legendre, P.; McArdle, B. H. 1997. Comparison of surfaces. Oceano I. Acta 20:27-41.
Legendre, P.; Troussellier, M. 1988. Aquatic heterotrophic bacteria: modeling in the presence of spatial autocorrelation. Limnol. Oceanogr. 33: 10551067.
Li, H.; Reynolds, J. F. 1995. On definition and quantification of heterogeneity. Oikos 73(2):280-284.
Manly, B. F. 1997. Randomization. bootstrap and Monte
Carlo methods in biology, 2nd ed. London: Chapman
and Hall.
Matheron, G. 1965. Les variables regionalisees et leur
estimation-une application de la theorie des fonctions aLeatoires aux sciences de la nature. Paris: Masson.
Elements of Spatial Data Analysis in Ecological Assessments
Cox, N. J.; Jones, K. 1981. Exploratory data analysis. In:
Wrigley, N.; Bennet, R. J., eds. Quantitative geography. London: Routledge & Kegan Paul.
Craig, R. G. 1979. Sources of variation in LANDSAT
autocorrelation. In: Proceedings of the international
symposium on remote sensing of the environment, Ann
Arbor, MI: 1517-1524.
Cressie, N. A. C. 1991. Statistics for spatial data. New
York: John Wiley & Sons.
Cressie, N.; Read, T. R. C. 1989. Spatial data analysis
of regional counts. Biometrical J. 6:699-719.
Dale, M. R. T. 1999. Spatial pattern analysis in plant
ecology. Cambridge, UK: Cambridge University
Press.
David, M. 1977. Geostatistical ore reserve estimation. In:
Developments in geomathematics. 2. Amsterdam: Elsevier Science.
Davis, F. W.; Quattrochi, D. A.; Ridd, M. K.; Lam,
N. S.-N.; Walsh, S. J.; Michaelsen, J. c.; Franklin, J.;
Stow, D. A.; Johannsen, C. J.; Johnston, C. A. 1991.
Environmental analysis using integrated GIS and remotely sensed data: some research needs and priorities. Photogramm. Eng. Remote Sensing 57:689-697.
Diaconis, P. 1985. Theories of data analysis: from magical thinking through classical statistics. In: Hoaglin,
D. C.; Mosteller, F. M.; Tukey, J. W., eds. Exploring
data tables. New York: John Wiley & Sons: 1-36.
Dutilleul, P.; Legendre, P. 1993. Spatial heterogeneity
against heteroscedasticity: an ecological paradigm versus a statistical concept. Oikos 66:152-171.
Fortin, M.-J. 1999a. Spatial statistics in landscape ecology. In: Klopatek, J. M.; Gadne, R. H., eds. Landscape
ecological analysis: issues and applications. New
York: Springer-Verlag: 253-279.
Fortin, M.-J. 1999b. Effects of quadrat size and data measurement on the detection of boundaries. J. Veg. Sci.
10:43-50.
Fortin, M.-J.; Drapeau, P.; Legendre, P. 1989. Spatial autocorrelation and sampling design in plant ecology.
Vegetatio 83:209-222.
Fortin, J.-J.; Drapeau, P.; Jacquez, G. M. 1996. Statistics
to assess spatial relationships between ecological
boundaries. Oikos 77:51-60.
Griffith, D. A. 1988. Estimating spatial autoregressive
model parameters with commercial statistical packages. Geogr. Anal. 20:176-186.
Gustafson, E. J. 1998. Quantifying landscape spatial pattern: what is the state of the art? Ecosystems
1:143-156.
Haining, R. 1990. Spatial data analysis in the social and
environmental sciences. Cambridge, UK: Cambridge
University Press.
Hammer, R. D. 1998. Space and time in the soil landscape: the ill-defined ecological universe. In: Peterson,
D. L.; Parker, V. T., eds. Ecological scale: theory and
applications. New York: Columbia University Press:
105-140.
Hampel, F. R.; Ronchetti, E. M.; Rousseeuw, P. J.; Stahel, W. A. 1986. Robust statistics. New York: John
Wiley & Sons.
Hargis, C. D.; Bissonette, J. A.; David, J. L. 1997. Understanding measures of landscape pattern. In: Bissonette, J. A., ed. Wildlife and landscape ecology. New
York: Springer-Verlag: 231-261.
Hargis, C. D.; Bissonette. J. A.; David, J. L. 1998. The
behavior of landscape metrics commonly used in the
study of habitat fragmentation. Landscape Ecol. 13:
167-168.
Heuvelink, G. B. M. 1998. Error propagation in environmental modeling with GIS. London: Taylor and
Francis.
Hoaglin, D. C.; Mosteller, F.; Tukey, 1. W. 1983. Understanding robust and exploratory data analysis.
New York: John Wiley & Sons.
Hoaglin, D. C.; Mosteller, F.; Tukey, J. W. 1985. Exploring data tables, trends and shapes. New York:
John Wiley & Sons.
Hunsaker, C. H.; O'Neill, R. V.; Jackson, B. L.; Timmins, S. P.; Levine, D. A.; Norton, D. J. 1994. Sampling to characterize landscape pattern. Landscape
Ecol. 9:207-226.
Joumel, A. G.; Huijbregts, C. J. 1978. Mining geostatistics. London: Academic Press.
King, A. W. 1997. Hierarchy theory: a guide to system
structure for wildlife biologists. In: Bissonette, J. A.,
ed. Wildlife and landscape ecology. New York:
Springer-Verlag: 185-212.
Kolasa, J.; Rollo, C. D. 1991. Introduction: the heterogeneity of heterogeneity-a glossary. In: Kolasa, J.;
Pickett, S. T. A., eds. Ecological heterogeneity. New
York: Springer-Verlag: 1-23.
Labovitz, M. L.; Masuoka, E. J. 1984. The influence of
autocorrelation in signature extraction: an example
from a geobotanical investigation of Cotter Basin,
Montana. Int. J. Remate Sens. 5:315-332.
Leamer, E. E. 1978. Specification searches: ad hoc inference with non experimental data. New York: John
Wiley & Sons.
Legendre, P. 1993. Spatial autocorrelation: trouble or
new paradigm. Ecology 74:1659-1673.
Legendre, P.; Fortin, M.-J. 1989. Spatial pattern and ecological analysis. Vegetation 80:107-138.
Legendre, P.; Legendre, L. 1998. Numerical ecology.
Amsterdam: Elsevier Science B.V.
Legendre, P.; McArdle, B. H. 1997. Comparison of surfaces. Oceano I. Acta 20:27-41.
Legendre, P.; Troussellier, M. 1988. Aquatic heterotrophic bacteria: modeling in the presence of spatial autocorrelation. Limnol. Oceanogr. 33: 10551067.
Li, H.; Reynolds, J. F. 1995. On definition and quantification of heterogeneity. Oikos 73(2):280-284.
Manly, B. F. 1997. Randomization. bootstrap and Monte
Carlo methods in biology, 2nd ed. London: Chapman
and Hall.
Matheron, G. 1965. Les variables regionalisees et leur
estimation-une application de la theorie des fonctions aLeatoires aux sciences de la nature. Paris: Masson.