rgeoda: R Library for Spatial Data Analysis

rgeoda is an R library providing spatial data analysis functionalities based on the C++ source code of the open-source GeoDa software. The library offers tools for Exploratory Spatial Data Analysis, Spatial Cluster Detection, Clustering Analysis, and Regionalization. It was authored by Xun Li and is documented on the GeoDa Center website.

Use Cases

• Perform Exploratory Spatial Data Analysis (ESDA) to identify spatial patterns and outliers.
• Detect spatial clusters and perform clustering analysis on geographic data.
• Conduct regionalization to create spatially contiguous regions based on shared attributes.

Strengths

• Based on the established, open-source GeoDa software, which is a standard tool for introductory spatial data analysis.
• Provides a range of specific spatial analysis methods including ESDA, cluster detection, and regionalization.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset scale are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

GeoDa Center (https://geodacenter.github.io)

Collection Method

Software library derived from the C++ source code of the GeoDa application.

Time Range

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Freshness

Last update date is unknown; freshness unverified.

Geography

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