search for: regriding

summary: spatial data to be input to a regional-scale environmental model must (1) be converted to netCDF and then (2) "regridded" (cropped, projected, increased resolution). In a public git repository https://github.com/TomRoche/GEIA_to_NetCDF I have R code (with bash drivers) that does the conversion step, and plots the converted output, apparently correctly. However attempts to plot

...0.0 0.0 0.0 > 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 > > --------------------------------- > > ------------------------- > > ################# > > 12 columns and 72 rows (latitudexlongitude) > > > > > > THIRD PROBLEM regriding AOD: > How to regrid 1x1 AOD data on 5x5 grid as O3. > > > Many thanks for yours help. > > Regards, > Yogesh > > -- > Dr. Yogesh K. Tiwari, > Scientist, > Indian Institute of Tropical Meteorology, > Homi Bhabha Road, > Pashan, > Pune-411008 > INDIA &...

....0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 --------------------------------- ------------------------- ################# 12 columns and 72 rows (latitudexlongitude) THIRD PROBLEM regriding AOD: How to regrid 1x1 AOD data on 5x5 grid as O3. Many thanks for yours help. Regards, Yogesh -- Dr. Yogesh K. Tiwari, Scientist, Indian Institute of Tropical Meteorology, Homi Bhabha Road, Pashan, Pune-411008 INDIA Phone: 0091-99 2273 9513 (Cell) : 0091-20-258 93 600 (O) (Ext.250)...

Dear all, I have a grid (data frame) dataset at 0.5 x 0.5 degrees spatial resolution (720 columns x 360 rows; regular spacing) and wish to coarsen this to a resolution of 2.5 x 2.5 degrees. A simple calculation which takes the mean of a block of points to form the regridded values would do the trick. Values which should be excluded from the calculation are -9999 (unless all points within a block

Hi Caio, I just replied to a fellow who needed to run a series of regressions changing the dependent variables for the same period. I believe your solution might be similar to that one, just making the window dynamic instead. I used a lapply to store regressions and sapplys to extract stats from the lm()s. Please check the attachment and hope it?s useful. Filipe Botelho -----Mensagem

Hello, we have 80 text files with matrices. Each matrix represents a map (rows for latitude and columns for longitude), the 80 maps represent steps in time. In addition, we have a vector x of length 80. We would like to compute a regression between matrices (response through time) and x and create maps representing coefficients, r2 etc. Problem: the 80 matrices are of the size 4000 x 3500 and we

SUMMARY: Specific problem: I'm regridding biomass-burning emissions from a global/unprojected inventory to a regional projection (LCC over North America). I need to have boundaries for Canada, Mexico, and US (including US states), but also Caribbean and Atlantic nations (notably the Bahamas). I would also like to add Canadian provinces and Mexican states. How to put these together? General

Dear list, I'm writing a function to re-grid a data set from finer to coarser resolutions in R as follows (I use this function with sapply/apply): gridResize <- function(startVec = stop("What's your input vector"), to = stop("Missing 'to': How long do you want the fnial vector to be?")){ from <- length(startVec) shortVec<-numeric() tics <- from*to