GIS: stressing the geographical

Arita, H. and Rodriguez, P. 2002: Geographic range, turnover rate and the scaling of species diversity. Ecography 25, 541-550.

Atkinson, P. M. , German, S. E. , Sear, D. A. and Clark, M. J. 2003: Exploring the relations between riverbank erosion and geomorphological controls using geographically weighted logistic regression. Geographical Analysis 35, 58-82.

Austin, M. P. 2002: Spatial prediction of species distribution: an interface between ecological theory and statistical modelling. Ecological Modelling 157, 101-118.

Brunsdon, C. , McClatchey, J. and Unwin, D. J. 2001: Spatial variations in the average rainfall-altitude relationship in Great Britain: an approach using geographically weighted regression. International Journal of Climatology 21, 455-466.

Cohen, W. B. , Maiersperger, T. K. , Gower, S. T. and Turner, D. P. 2003. An improved strategy for regression of biophysical variables and Landsat ETM+ data. Remote Sensing of Environment 84, 561-571.

Eastman, J. R. , and Laney, R. M. 2002: Bayesian soft classification for sub-pixel analysis: a critical evaluation. Photogrammetric Engineering and Remote Sensing 68, 1149-1154.

Foody, G. M. 2002: The role of soft classification techniques in the refinement of estimates of ground control point location. Photogrammetric Engineering and Remote Sensing 68, 897-903.

Fotheringham, A. S. , Charlton, M. E. and Brunsdon, C. 2001: Spatial variations in school performance: a local analysis using geographically weighted regression. Geographical and Environmental Modelling 5, 43-66.

Fotheringham, A. S. , Brunsdon, C. and Charlton, M. 2002: Geographically weighted regression: the analysis of spatially varying relationships. Chichester: Wiley.

Gahegan, M. 2003: Is inductive machine learning just another wild goose (or might it lay the golden egg)? International Journal of Geographical Information Science 17, 69-92.

Goodin, D. G. and Henebry, G. M. 2002: The effect of rescaling on fine spatial resolution NDVI data: a test using multi-resolution aircraft sensor data. International Journal of Remote Sensing 23, 3865-3871.

Guisan, A. , Edwards, T. C. and Hastie, T. 2002: Generalised linear and generalised additive models in studies of species distributions: setting the scene. Ecological Modelling 157, 89-100.

Heegaard, E. 2002: The outer border and central border for species-environmental relationships estimated by nonparametric generalised additive models. Ecological Modelling 157, 131-139.

Hirzel, A. and Guisan, A. 2002: Which is the optimal sampling strategy for habitat suitability modelling. Ecological Modelling 157, 331-341.

Hlavka, C. A. and Dungan, J. L. 2002: Areal estimates of fragmented land cover: effects of pixel size and model-based corrections. International Journal of Remote Sensing 23, 711-724.

Jakomulska, A. M. and Radomski, J. P. 2002: Uncertainty in land cover mapping from remotely sensed data using textural algorithm and artificial neural networks, In Foody, G. M. and Atkinson, P. M. , editors, Uncertainty in remote sensing and GIS. Chichester: Wiley, 99-118.

Ju, J. , Kolaczyk, E. D. and Gopal, S. 2003: Gaussian mixture discriminant analysis and sub-pixel land cover characterization in remote sensing. Remote Sensing of Environment 84, 550-560.

Lehmann, A. , Overton, J. McC . and Leathwick, J. R. 2003: GRASP: generalised regression analysis and spatial prediction. Ecological Modelling 160, 165-183.

Leung, Y. , Mei, C-L. and Zhang, W-X. 2000a, Statistical test for spatial nonstationarity based on the geographically weighted regression model. Environment and Planning A 32, 9-32.

Leung, Y. , Mei, C-L. and Zhang, W-X. 2000b, Testing for spatial autocorrelation among the residuals of he geographically weighted regression. Environment and Planning A 32, 871-890.

Liebhold, A. M. and Gurevitch, J. 2002: Integrating the statistical analysis of spatial data in ecology. Ecography 25, 553-557.

Miller, J. and Franklin, J. 2002: Modelling the distribution of four vegetation alliances using generalised linear models and classification tress with spatial dependence. Ecological Modelling 157, 227-247.

Moisen, G. G. and Frescino, T. S. 2002: Comparing five modelling techniques for predicting forest characteristics. Ecological Modelling 157, 209-225.

Nakaya, T. 2003: Local spatial interaction modelling based on the geographically weighted regression approach. In Thomas, R. , Boots, B. and Okabe, A. , editors, Modelling geographical systems: statistical and computational applications. Dordrecht: Kluwer, 45-69.

Narayannan, R. M. and Desetty, M. K. 2002: Effect of spatial resolution on information content characterization in remote sensing imagery based on classification accuracy. International Journal of Remote Sensing 23, 537-553.

Oksanen, J. and Minchin, P. R. 2002: Continuum theory revisited: what shape are species responses along ecological gradients? Ecological Modelling 157, 119-129.

Osborne, P. E. and Suarez-Seoane, S. 2002: Should data be partitioned spatially before building large-scale distribution models? Ecological Modelling 157, 249-259.

Paez, A. , Uchida, T. and Miyamoto, K. 2002a, A general framework for estimation and inference of geographically weighted regression models: 1. Location-specific kernel bandwidths and a test for local heterogeneity. Environment and Planning A 34, 733-754.

Paez, A. , Uchida, T. and Miyamoto, K. 2002b, A general framework for estimation and inference of geographically weighted regression models: 2. Spatial association and model spefication tests. Environment and Planning A 34, 883-904.

Phillips, J. D. 2002: Global and local factors in earth surface systems. Ecological Modelling 149, 257-272.

Read, J. M. and Lam, N. S. N. 2002: Spatial methods for characterizing land cover and detecting land-cover changes for the tropics. International Journal of Remote Sensing 23, 2457-2474.

Recknagel, F. , editor 2003: Ecological informatics: understanding ecological by biologically-inspired computation. Berlin: Springer.

Rosin, P. L. 2001: Robust pixel unmixing. IEEE Transactions on Geoscience and Remote Sensing 39, 1978-1983.

Saura, S. 2002: Effects of minimum mapping unit on land cover data spatial configuration and composition. International Journal of Remote Sensing 23, 4853-4880.

Schmidt, H. and Karnieli, A. 2002: Analysis of the temporal and spatial vegetation patterns in a semi-arid environment observed by NOAA AVHRR imagery and spectral ground measurements. International Journal of Remote Sensing 23, 3971-4000.

Tatem, A. J. , Lewis, H. G. , Atkinson, P. M. and Nixon, M. S. 2002a, Super-resolution land cover mapping from remotely sensed imagery using a Hopfield neural network. In Foody, G. M. and Atkinson, P, M. , editors, Uncertainty in remote sensing and GIS. Chichester: Wiley, 77-98

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Treitz, P. 2001: Variogram analysis of high spatial resolution remote sensing data: an examination of boreal forest ecosystems. International Journal of Remote Sensing 22, 3895-3900.

Van Meirvenne, M. and Goovaerts, P. 2002: Accounting for spatial dependence in the processing of multi-temporal SAR images using factorial kriging. International Journal of Remote Sensing 23, 371-387.

Verhoeye, J. and DeWulf, R. 2001: Land cover mapping at the sub-pixel scale using linear optimisation techniques. Remote Sensing of Environment 79, 96-104.

Wang, J. , Price, K. P. and Rich, P. M. 2001: Spatial patterns of NDVI in response to precipitation and temperature in the central Great Plains. International Journal of Remote Sensing 22, 3827-3844.

Wang, J. , Liu, J. , Zhuan, D. , Li, L. and Ge, Y. 2002: Spatial sampling design for monitoring the area of cultivated land. International Journal of Remote Sensing 23, 263-284.

Wood, S. N. and Augustin, N. H. 2002: GAMs with integrated model selection using penalized regression splines and applications to environmental modelling. Ecological Modelling 157, 157-177.

Wu, C. and Murray, A. T. 2003: Estimating impervious surface distribution by spectral mixture analysis. Remote Sensing of Environment 84, 493-505.

Zaniewski, A. E. , Lehmann, A. and Overton, J. McC . 2002: Predicting species spatial distributions using presence-only data: a case study of native New Zealand ferns. Ecological Modelling 157, 261-280.

Zhan, Q. , Molenaar, M. and Lucieer, A. 2002: Pixel unmixing at the sub-pixel scale based on land cover class probabilities: application to urban areas. In Foody, G. M. and Atkinson, P. M. , editors, Uncertainty in remote sensing and GIS. Chichester: Wiley, 59-76.