footprint

I have a 2D footprint result for an eddy-covariance system on a 1100*1100 square meter, with the domain of domain = c(-100,1000,-100, 1000) the cell size of the domain (each grid) is 2 meters with the origin (0,0) accordingly on this location: Lon = -97.191391 #longtitude Lat = 36.055935 #latitude An example data (9.01 Mb) is attached here. FFP.rds then I can plot a Bing map on my site as this: library(OpenStreetMap) library(rgdal) map <- openmap(c(36.05778,-97.19250), c(36.05444,-97.18861),type='bing') plot(map) and I use image.plot() from package "fields" to plot the footprint with these

I have a need to be able to identify one system from another in ASP.Net using anything available in HttpContext. I've attempted to use many of the ServerVariables available, but often the systems are configured from a drive built off of an image. So, because of the firewall their IP address is the same and all of their ServerVariables (browseragent, logonuser) are the same, I need to find something else that will tell different machines apart. Since the site is secured with formsauthentication, Windows Integrated Authentication must be turned off (otherwise i'd have access to different Logon

I heard many libraries such as JXTA and PjSIP have smaller footprints. Is this pointing to small resource consumption or something else? Footprint designates the size occupied by your application in computer RAM memory. Footprint can have different meaning when speaking about memory consumption. In my experience, memory footprint often doesn't include memory allocated on the heap (dynamic memory), or resource loaded from disc etc. This is because dynamic allocations are non constant and may vary depending on how the application or module is used. When reporting "low footprint" or "high

This issue is important especially for embedded development. Exception handling adds some footprint to generated binary output. On the other hand, without exceptions the errors need to be handled some other way, which requires additional code, which eventually also increases binary size. I'm interested in your experiences, especially: What is average footprint added by your compiler for the exception handling (if you have such measurements)? Is the exception handling really more expensive (many say that), in terms of binary output size, than other error handling strategies? What error handling