Adespatial: Multivariate Multiscale Spatial Analysis Tools

Adespatial provides tools for the multiscale spatial analysis of multivariate data. The methods are based on a spatial weighting matrix and its eigenvector decomposition, known as Moran's Eigenvectors Maps (MEM). The approach is described in the review by Stéphane Dray et al. (2012).

Use Cases

• Detecting spatial patterns in multivariate ecological data based on Moran's Eigenvectors Maps.
• Performing multiscale analysis to separate local and global spatial structures.
• Modeling spatial autocorrelation in multivariate datasets using eigenvector-based methods.

Strengths

• Methods are grounded in a peer-reviewed foundational review (Dray et al., 2012).
• Focuses on a specific, established technique (Moran's Eigenvectors Maps) for spatial analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Stéphane Dray, Laboratoire de Biométrie et Biologie Evolutive

Collection Method

Software tools implementing methods from a published scientific review.

Time Range

Publication of foundational review in 2012.

Freshness

Last update date is unknown; freshness unverified.

Geography

Spatial coverage is not specified; methods are general.