Just a couple of comments. 1.) R has been my main programming language for a number of years now. I am involved with a mix of enivronmental tasks--statsitcs, geostatsitcs, site characterization, fate and transport, risk assessment. It is powerful, accessible and one can be productive very quickly. So much high-level functionality is already built into it, it is multi-platform and has production quality graphics. Oh yes, database connectivity is supurb.
I have not grown comfortable the the geostats packages--certainly I have used parts of several of them. Sometime back noticed different variograms from one of the packages--sorry can't remember--and GEOEAS, It was nothing major, just one used the mid-point distance in the lags and the other used the average lag difference. Looking--quickly I admit--at the R-package's documentation it was clear that no discussion was there. That left me wondering how many other 'little decisions' are wired into the package(s). Still I use them, but with caution. A standard R list response applies -- look at the code ;o) The point here is that --- Isobel Clark <[EMAIL PROTECTED]> wrote: > Have you looked at R? It is free and designed for statistical analysis. > > Isobel > > Adrián Martínez Vargas <[EMAIL PROTECTED]> wrote: > Hello List > > Im interesting to open a project for build a geostatistical open source > software, with this criteria: > a) extreme simple code > b) Math is most important, graphic is secondary. > c) Modular, as GSLIB, to make easy changes. > d) Star with basic (variograms and kriging) > e) End with advanced (plurigaussian, DK, or yours on methods) > f) This item is for your advice > > The question is what do you prefer for programming > > Matlab: is really easy, but it is not free (I hope the code is free, the > you can compile executable or c code in an institution with matlab license ) > > > C, C++, know for a lot of peoples, bunt not as simple as programmers says. > The advantage is that exist a lot of free compilers and toolkits as QT, > glade, Visual studio C++, etc. there is also a lot of preprogramming > algorithms > > Python, it is really easy, and simple, it is possible to do also GUI with > QT python, is platform free and interpreted language (you roon directly de > source code, the system: windows, linux, etc. doesnt matter ) > > Other really easy programming languages can be used, as visual basic, but > it is only for windows > > Fortran is obsolete. > > TCL or Visual TCL, It is interpreted language as Python, but too slow, it > is really useful to build GUIs. > > My Idea is make a GUI with visual TCL and make separate executables, as in > GSLIB, with matlab (compiled), or use C++ for math > > Finally, I was trying to play with SGEMS, but it is not as simple as it > look > > What is your advice? > > Dr. Adrian Martínez Vargas > Revista Minería y Geología (Editor Principal) > ISMM, Las Coloradas, s/n > Moa, Holguín, > Cuba > CP. 83329 > http://www.ismm.edu.cu/revistamg/index.htm > > > > ____________________________________________________________________________________ Never miss a thing. Make Yahoo your home page. http://www.yahoo.com/r/hs + + To post a message to the list, send it to ai-geostats@jrc.it + To unsubscribe, send email to majordomo@ jrc.it with no subject and "unsubscribe ai-geostats" in the message body. DO NOT SEND Subscribe/Unsubscribe requests to the list + As a general service to list users, please remember to post a summary of any useful responses to your questions. + Support to the forum can be found at http://www.ai-geostats.org/
