elsa
Entropy-Based Local Indicator of Spatial Association
A framework that provides the methods for quantifying entropy-based local indicator of spatial association (ELSA) that can be used for both continuous and categorical data. In addition, this package offers other methods to measure local indicators of spatial associations (LISA). Furthermore, global spatial structure can be measured using a variogram-like diagram, called entrogram. For more information, please check that paper: Naimi, B., Hamm, N. A., Groen, T. A., Skidmore, A. K., Toxopeus, A. G., & Alibakhshi, S. (2019) doi:10.1016/j.spasta.2018.10.001.
- Version1.1-28
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release03/19/2020
Documentation
Team
Babak Naimi
Brian Ripley
Show author detailsRolesContributorRoger Bivand
Show author detailsRolesContributorWilliam Venables
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 226 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 12 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,362 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jan 27, 2025 with 40 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Depends2 packages
- Suggests2 packages