I am very new at using GIS data and only modestly experienced with R. I've been reading about how to analyze spatial data using the spatial-analyst.net PDF book, so I'm not completely lost, but I thought I could describe my problem and people might suggest ideas.
I have a dataset with about 2000 measurements at different lat/long coordinates, although I will probably subdivide this dataset as the data was collected over 3 years and conditions changed over time. Let's call the variable being measured "IP."
I want to create a map of IP in the full area under question using Kriging or some other interpolation method on the sample data. Then I want to create a histogram measuring the amount of land in various IP buckets. I will also need to create a histogram which shows the number of samples in each bucket (note a sample could have a higher or lower actual IP than what kriging predicts for its land).
I follow how to load the data into a SpatialPointsDataFrame and run a kriging analysis, where I'm having trouble is how to convert that data into a gridded dataframe so I can do the histogram analysis.
Any suggestions for converting points into grids?