remap
Regional Spatial Modeling with Continuous Borders
Automatically creates separate regression models for different spatial regions. The prediction surface is smoothed using a regional border smoothing method. If regional models are continuous, the resulting prediction surface is continuous across the spatial dimensions, even at region borders. Methodology is described in Wagstaff and Bean (2023) doi:10.32614/RJ-2023-004.
- Version0.3.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- remap citation info
- Last release06/14/2023
Documentation
Team
Jadon Wagstaff
Brennan Bean
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Insights
Last 30 days
This package has been downloaded 226 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! 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 2,991 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jan 10, 2025 with 41 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
- Imports2 packages
- Suggests6 packages