Exploratory spatial analysis for interval data: A new autocorrelation index with COVID-19 and rent price applications

作者：

Highlights：

• Spatial autocorrelation allows to verify the existence of spatial pattern.

• Georeferenced data have variability inside each region.

• Symbolic Data Analysis provides tools to describe individual classes.

• Symbolic interval data expresses itself variability within the individual class.

摘要

•Spatial autocorrelation allows to verify the existence of spatial pattern.•Georeferenced data have variability inside each region.•Symbolic Data Analysis provides tools to describe individual classes.•Symbolic interval data expresses itself variability within the individual class.

论文关键词：Interval data,Moran’s index,Spatial analysis,Symbolic data analysis,Spatial variability

论文评审过程：Received 6 September 2020, Revised 6 January 2022, Accepted 16 January 2022, Available online 5 February 2022, Version of Record 8 February 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116561