Dear All,
I am Ricky Jacob, a project Student from India who is working on
Forest Inventories.
Input data:
Plot(area = .1 ha) data having the following information:
1) Basal Area
2)Tree Density
3)Volume
So I am applying this information to the corresponding pixels in the
satellite imagery of the study area. I also have given the same
values to a 3x3 window around that pixel.
Inventory is taken compartmentwise and so this information of all the
plots in a compartment is taken and generalised over all the pixels
falling in that compartment. To make the estimation more realistic, i
decided to use the impute opton in r.
The yai requires me to enter the x and y variable. I stll haven't
figured out how i should put my datasets to impute the values of
variables like Basal area, volume for only those pixels for which no
data is available.
is msn or randomforest a better option.
I tried to work on the example MoscowMtStJoe dataset. But I wasn't
able to figure out how I should put in my data.
I have records which have both satellite and attribute data and also
have records with only satellite data. I need to impute attribute
data into those records alone for which no attribute data is available
without altering values in the records having the attribute
information.
Hope for a response
Regards
Ricky Jacob
