fields

Tools for Spatial Data

CRAN Package

For curve, surface and function fitting with an emphasis on splines, spatial data, geostatistics, and spatial statistics. The major methods include cubic, and thin plate splines, Kriging, and compactly supported covariance functions for large data sets. The splines and Kriging methods are supported by functions that can determine the smoothing parameter (nugget and sill variance) and other covariance function parameters by cross validation and also by restricted maximum likelihood. For Kriging there is an easy to use function that also estimates the correlation scale (range parameter). A major feature is that any covariance function implemented in R and following a simple format can be used for spatial prediction. There are also many useful functions for plotting and working with spatial data as images. This package also contains an implementation of sparse matrix methods for large spatial data sets and currently requires the sparse matrix (spam) package. Use help(fields) to get started and for an overview. The fields source code is deliberately commented and provides useful explanations of numerical details as a companion to the manual pages. The commented source code can be viewed by expanding the source code version and looking in the R subdirectory. The reference for fields can be generated by the citation function in R and has DOI doi:10.5065/D6W957CT. Development of this package was supported in part by the National Science Foundation Grant 1417857, the National Center for Atmospheric Research, and Colorado School of Mines. See the Fields URL for a vignette on using this package and some background on spatial statistics.


Documentation


Team


Insights

Last 30 days

This package has been downloaded 47,233 times in the last 30 days. The downloads are officially high enough to crash an underfunded departmental server. Quite an accomplishment! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2,138 times.

Sun
Mon
Tue
Wed
Thu
Fri
Sat
0 downloadsFeb 9, 2025
0 downloadsFeb 10, 2025
0 downloadsFeb 11, 2025
1,821 downloadsFeb 12, 2025
1,619 downloadsFeb 13, 2025
1,166 downloadsFeb 14, 2025
769 downloadsFeb 15, 2025
835 downloadsFeb 16, 2025
1,500 downloadsFeb 17, 2025
1,753 downloadsFeb 18, 2025
1,797 downloadsFeb 19, 2025
1,914 downloadsFeb 20, 2025
1,447 downloadsFeb 21, 2025
785 downloadsFeb 22, 2025
751 downloadsFeb 23, 2025
1,685 downloadsFeb 24, 2025
1,777 downloadsFeb 25, 2025
1,788 downloadsFeb 26, 2025
1,755 downloadsFeb 27, 2025
1,279 downloadsFeb 28, 2025
751 downloadsMar 1, 2025
794 downloadsMar 2, 2025
1,628 downloadsMar 3, 2025
1,634 downloadsMar 4, 2025
2,132 downloadsMar 5, 2025
1,957 downloadsMar 6, 2025
1,403 downloadsMar 7, 2025
1,219 downloadsMar 8, 2025
1,606 downloadsMar 9, 2025
2,726 downloadsMar 10, 2025
2,555 downloadsMar 11, 2025
2,249 downloadsMar 12, 2025
2,138 downloadsMar 13, 2025
0 downloadsMar 14, 2025
0 downloadsMar 15, 2025
751
2,726

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 473,539 times in the last 365 days. Practically an academic rockstar! That's enough downloads to cause murmurs at international conferences. The day with the most downloads was Oct 01, 2024 with 2,830 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.

Data provided by CRAN


Binaries


Dependencies

  • Depends2 packages
  • Imports1 package
  • Reverse Depends23 packages
  • Reverse Imports151 packages
  • Reverse Suggests58 packages