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Provides functions to estimate, predict and interpolate areal data. For estimation and prediction we assume areal data is an average of an underlying continuous spatial process as in Moraga et al. (2017) doi:10.1016/j.spasta.2017.04.006, Johnson et al. (2020) doi:10.1186/s12942-020-00200-w, and Wilson and Wakefield (2020) doi:10.1093/biostatistics/kxy041. The interpolation methodology is (mostly) based on Goodchild and Lam (1980, ISSN:01652273).

Last 30 days

This package has been downloaded 148 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 4 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 1,902 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jul 21, 2024 with 86 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.