-
1
-
-
0002137413
-
The Moran scatterplot as an ESDA tool to assess local instability in spatial association
-
Fischer, M. et al. (eds), Taylor and Francis
-
Anselin, L. 1996. The Moran scatterplot as an ESDA tool to assess local instability in spatial association. - In: Fischer, M. et al. (eds), Spatial analytical perspectives in GIS. Taylor and Francis, pp. 111-125.
-
(1996)
Spatial analytical perspectives in GIS
, pp. 111-125
-
-
Anselin, L.1
-
2
-
-
67649921143
-
Comments on Methods to account for spatial autocorrelation in the analysis of species distributional data: a review
-
Betts, G. M. et al. 2009. Comments on "Methods to account for spatial autocorrelation in the analysis of species distributional data: a review". - Ecography 32: 374-378.
-
(2009)
Ecography
, vol.32
, pp. 374-378
-
-
Betts, G.M.1
-
3
-
-
6944231025
-
Macroecological explanations for differences in species richness gradients: a canonical analysis of South American birds
-
Bini, L. M. et al. 2004. Macroecological explanations for differences in species richness gradients: a canonical analysis of South American birds. -J. Biogeogr. 31: 1819-1827.
-
(2004)
J. Biogeogr.
, vol.31
, pp. 1819-1827
-
-
Bini, L.M.1
-
4
-
-
62249098547
-
Coefficient shifts in geographical ecology: an empirical evaluation of spatial and non-spatial regression
-
Bini, L. M. et al. 2009. Coefficient shifts in geographical ecology: an empirical evaluation of spatial and non-spatial regression. - Ecography 32: 193-204.
-
(2009)
Ecography
, vol.32
, pp. 193-204
-
-
Bini, L.M.1
-
5
-
-
4444374541
-
Dissecting the spatial structure of ecological data at multiple spatial scales
-
Borcard, D. et al. 2004. Dissecting the spatial structure of ecological data at multiple spatial scales. - Ecology 85: 1826-1832.
-
(2004)
Ecology
, vol.85
, pp. 1826-1832
-
-
Borcard, D.1
-
7
-
-
35348931757
-
Non-stationarity, diversity gradients and the metabolic theory of ecology
-
Cassemiro, F. A. S. et al. 2007. Non-stationarity, diversity gradients and the metabolic theory of ecology. - Global Ecol. Biogeogr. 16: 820-822.
-
(2007)
Global Ecol. Biogeogr.
, vol.16
, pp. 820-822
-
-
Cassemiro, F.A.S.1
-
8
-
-
73649134010
-
What were we thinking?
-
Cliff, A. D. and Ord, J. K. 2009. What were we thinking? - Geogr. Anal. 41: 351-363.
-
(2009)
Geogr. Anal.
, vol.41
, pp. 351-363
-
-
Cliff, A.D.1
Ord, J.K.2
-
9
-
-
14844358016
-
Modelling geographical patterns in species richness using eigenvector-based spatial filters
-
Diniz-Filho, J. A. F. and Bini, L. M. 2005. Modelling geographical patterns in species richness using eigenvector-based spatial filters. - Global Ecol. Biogeogr. 14: 177-185.
-
(2005)
Global Ecol. Biogeogr.
, vol.14
, pp. 177-185
-
-
Diniz-Filho, J.A.F.1
Bini, L.M.2
-
10
-
-
45249111607
-
Model selection and information theory in geographical ecology
-
Diniz-Filho, J. A. F. et al. 2008. Model selection and information theory in geographical ecology. - Global Ecol. Biogeogr. 17: 479-488.
-
(2008)
Global Ecol. Biogeogr.
, vol.17
, pp. 479-488
-
-
Diniz-Filho, J.A.F.1
-
11
-
-
35848930781
-
Methods to account for spatial autocorrelation in the analysis of species distributional data: a review
-
Dormann, C. F. et al. 2007. Methods to account for spatial autocorrelation in the analysis of species distributional data: a review. - Ecography 30: 609-628.
-
(2007)
Ecography
, vol.30
, pp. 609-628
-
-
Dormann, C.F.1
-
12
-
-
0027286249
-
Modifying the t-test for assessing the correlation between two spatial processes
-
Dutilleul, P. 1993. Modifying the t-test for assessing the correlation between two spatial processes. - Biometrics 49: 305-314.
-
(1993)
Biometrics
, vol.49
, pp. 305-314
-
-
Dutilleul, P.1
-
13
-
-
33645917058
-
Novel methods improve prediction of species' distributions from occurrence data
-
Elith, J. et al. 2006. Novel methods improve prediction of species' distributions from occurrence data. - Ecography 29: 129-151.
-
(2006)
Ecography
, vol.29
, pp. 129-151
-
-
Elith, J.1
-
15
-
-
33845354872
-
Spatial modeling in ecology: the flexibility of eigenfunction spatial analysis
-
Griffith, D. A. and Peres-Neto, P. R. 2006. Spatial modeling in ecology: the flexibility of eigenfunction spatial analysis. - Ecology 87: 2603-2613.
-
(2006)
Ecology
, vol.87
, pp. 2603-2613
-
-
Griffith, D.A.1
Peres-Neto, P.R.2
-
16
-
-
10744225171
-
Energy, water, and broad-scale geographic patterns of species richness
-
Hawkins, B. A. et al. 2003. Energy, water, and broad-scale geographic patterns of species richness. - Ecology 84: 3105-3117.
-
(2003)
Ecology
, vol.84
, pp. 3105-3117
-
-
Hawkins, B.A.1
-
18
-
-
0027881344
-
Spatial autocorrelation: trouble or new paradigm?
-
Legendre, P. 1993. Spatial autocorrelation: trouble or new paradigm? - Ecology 74: 1659-1673.
-
(1993)
Ecology
, vol.74
, pp. 1659-1673
-
-
Legendre P1
-
20
-
-
33745589229
-
Towards an integrated computational tool for spatial analysis in macroecology and biogeography
-
Rangel, T. F. L. V. B. et al. 2006. Towards an integrated computational tool for spatial analysis in macroecology and biogeography. - Global Ecol. Biogeogr. 15: 321-327.
-
(2006)
Global Ecol. Biogeogr.
, vol.15
, pp. 321-327
-
-
Rangel, T.F.L.V.B.1
-
21
-
-
0033844858
-
The Bearing correlogram: a new method of analyzing directional spatial autocorrelation
-
Rosenberg, M. S. 2000. The Bearing correlogram: a new method of analyzing directional spatial autocorrelation. - Geogr. Anal. 32: 267-278.
-
(2000)
Geogr. Anal.
, vol.32
, pp. 267-278
-
-
Rosenberg, M.S.1
-
23
-
-
33646543702
-
Consequences of spatial autocorrelation for niche-based models
-
Segurado, P. et al. 2006. Consequences of spatial autocorrelation for niche-based models. - J. Anim. Ecol. 43: 433-444.
-
(2006)
J. Anim. Ecol.
, vol.43
, pp. 433-444
-
-
Segurado, P.1
-
24
-
-
0031696340
-
Local spatial autocorrelation in biological variables
-
Sokal, R. R. et al. 1998. Local spatial autocorrelation in biological variables. - Biol. J. Linn. Soc. 65: 41-62.
-
(1998)
Biol. J. Linn. Soc.
, vol.65
, pp. 41-62
-
-
Sokal, R.R.1
-
25
-
-
60349118527
-
Richness patterns, species distribution and the principle of extreme deconstruction
-
Terribile, L. C. et al. 2009. Richness patterns, species distribution and the principle of extreme deconstruction. - Global Ecol. Biogeogr. 18: 123-136.
-
(2009)
Global Ecol. Biogeogr.
, vol.18
, pp. 123-136
-
-
Terribile, L.C.1
-
26
-
-
0001793787
-
We need both exploratory and confirmatory
-
Tukey, J. W. 1980. We need both exploratory and confirmatory. -Am. Stat. 34: 23-25.
-
(1980)
Am. Stat.
, vol.34
, pp. 23-25
-
-
Tukey, J.W.1
|