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Methods to account for spatial autocorrelation in the analysis of species distributional data : a review
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 similarExpand
Classes and Methods for Spatial Data
Bindings for the Geospatial Data Abstraction Library
Comparing Implementations of Estimation Methods for Spatial Econometrics
TLDR
This review constitutes an up-to-date comparison of generalized method of moments and maximum likelihood implementations now available, using the cross-sectional US county data set provided by Drukker, Prucha, and Raciborski (2013d). Expand
Tools for Reading and Handling Spatial Objects
Interface to Geometry Engine - Open Source (GEOS)
Applied Spatial Data Analysis with R - Second Edition
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 spatialExpand
Spatial Dependence: Weighting Schemes, Statistics and Models
Community ecology in the age of multivariate multiscale spatial analysis
Species spatial distributions are the result of population demography, behavioral traits, and species interactions in spatially heterogeneous environmental conditions. Hence the composition ofExpand
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