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Methods to account for spatial autocorrelation in the analysis of species distributional data : a review
- C. Dormann, J. McPherson, Robert J. Wilson
- Environmental Science
- 1 October 2007
Species distributional or trait data based on range map (extent-of-occurrence) or atlas survey data often display spatial autocorrelation, i.e. locations close to each other exhibit more similar…
Bindings for the Geospatial Data Abstraction Library
- R. Bivand, T. Keitt, B. Rowlingson
- Mathematics
- 21 December 2015
Applied Spatial Data Analysis with R - Second Edition
- R. Bivand, E. Pebesma, V. Gómez‐Rubio
- Environmental Science, MathematicsUse R!
- 1 September 2008
Hello, world: handling spatial data in R.- Classes for spatial data in R.- Visualizing spatial data.- Spatial data import and export.- Further methods for handling spatial data.- Customising spatial…
Comparing Implementations of Estimation Methods for Spatial Econometrics
TLDR
Interface to Geometry Engine - Open Source (GEOS)
- R. Bivand, Colin W. Rundel
- Geography
- 4 November 2015
Spatial Dependence: Weighting Schemes, Statistics and Models
- R. Bivand
- Mathematics
- 22 December 2015
Community ecology in the age of multivariate multiscale spatial analysis
- S. Dray, R. Pélissier, H. Wagner
- Environmental Science
- 1 August 2012
Species spatial distributions are the result of population demography, behavioral traits, and species interactions in spatially heterogeneous environmental conditions. Hence the composition of…
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