GIS applications and SPSS can do this job.

There is a specific package "weights", "adespatial", "gdistance" for  R software.

Here is a useful paper:

https://www.researchgate.net/profile/Karl_Friston/publication/12890218_Nonlinear_spatial_normalization_using_basis_functions/links/0deec515dcbc90ddb8000000.pdf

Article Nonlinear spatial normalization using basis functions

Hi all,

I think I have to read a lot on this. Honestly I am not familiar with GIS packages and R software. Mostly I am using ferret and fortran. If any other easy way to do please help me to sort it out. Thank you all for the time and consideration.

Please find attached links,  those may useful for normalization.

https://docs.google.com/document/d/1x0A1nUz1WWtMCZb5oVzF0SVMY7a_58KQulqQVT8LaVA/edit

https://www.researchgate.net/post/When_and_why_do_we_need_data_normalization/2

http://sites.utoronto.ca/rdc/files/3_NLSCY_Workshop__Nonresponse_and_Normalized_Weights_and_Pooling_Data_and_Full_Example.pdf

Hi Ramesh,

Thank you for your information

Hi,

In most case why we do normalized mass weighting is because of we can make the dataset more level and smooth, or making the raw dataset useful or rightful for model. Sometimes, there is no why, but we just use the method for good result. 

Hope this can help you.