search for: drainage

>From the following: basin.map <- readAsciiGrid("c:/temp/area.asc", colname="area") I have a SpatialGridDataFrame which has the x and y cordinate of a cell, and the drainage area of that cell. There are many cells with a low drainage area (in my case, 33000 with an area of 37.16) and one cell with the highest drainage area (again, in my case, a drainage area of of 800000). What I'd like to do, is to rank the drainage area cells based upon the number of times they...

I'm trying to calculate a cumulative area distribution (graph) of drainage areas. This is defined as P(A > A*). Simple in principle. I can do this in excel, with "COUNTIF", which will count the number of cells in the row "area" that have area A, then determine, for each cell in the row "area, how many cells exceede that area, then dividing that...

...I sampled bugs in different habitats within sites which were within rivers themselves within different regions. The habitat correspond to different substrata (not systematically present in all sites). For rivers and sites, I have environemental variables (e.g. altitude and slope of the site, drainage area and geology of the river) and I have only 2 regions. Note that sometimes I have only one site per river. I would like to know the part of each spatial scale in the species richness variance. I looked into the nlme package but I did not found how to proceed... Thanks for your help Nicolas...

...c6','c7', 'c8', 'c9', 'ind_plando', 'long_sup15', 'long_inf15', 'pente', 'est', 'sud','ouest', 'nord' ,'reg_hydriq', 'prof_sol', 'pierro', 'efferv', 'struct','drainage','texture', 'route1_pond', 'route2_pond', 'pourcactif', 'tx_chomage', 'pourcagric', 'pourc_jeunes', 'pop99', 'rev_imp_foyer','eq_CONC', 'eq_sante', 'eq_edu', 'sold_nat', 'sold_mig'...

...op a linear model for crop productivity based on variables published as part of the SSURGO database released by the USDA. My default is to just run lm() with continuous predictor variables as numeric, and discrete predictor variables as factors, but some of the discrete variables are ordinal (e.g. drainage class, which ranges from excessively drained to excessively poorly drained), but this doesn't make use of the fact that the predictor variables have a known order. How do I correctly set up a regression model (with lm or similar) to detect the influence of ordinal variables? How will the outp...

Dear R users, I am sorry to ask you such a pathetic newbie question, but how does one append data at the end of a data frame? I am working with GRASS/R library, but the question is about R. I have a data.frame containing the following variables basinID, distoutlet, drainage_area, slope These variables are stored for all pixels of Grass Raster objects. For each drainage basin (basinID), I'd like to find the maximum of distoutlet. How can I store the pair of info (bv$ID, max(bv$distoutlet)) at each step of the for loop ? I presume something like this could do for...

I need to make a plot illustrating main characterisitig of river drainage data. For this I have 2 questions: how can I rotate a histogram -90? (or 270?) (like the horizontal=TRUE with plot)? how can I use split.screen to produce 3 plot with uneuqal size (1/5, 2/5, 2/5 of the screen width)? thank you very much in advance for your help fabian

...r crop productivity based on > variables published as part of the SSURGO database released by the > USDA. My default is to just run lm() with continuous predictor > variables as numeric, and discrete predictor variables as factors, but > some of the discrete variables are ordinal (e.g. drainage class, which > ranges from excessively drained to excessively poorly drained), but > this doesn't make use of the fact that the predictor variables have a > known order. > > How do I correctly set up a regression model (with lm or similar) to > detect the influence of ordinal...

...vs.tab") > read.delim("lenvs.tab", skip=1, nrows=5)[,1:3] X...Columns. Parent.ProjectID ProjectID 1 19733 13694 Global Ocean Sampling Expedition Metagenome 2 20823 13696 5-Way (CG) Acid Mine Drainage Biofilm Metagenome 3 - 13699 Waseca County Farm Soil Metagenome 4 - 13702 Methane-Oxidizing Archaea from Deep- Sea Sediments 5 - 13729 Pacific Beach Sand Metagenome Thanks for your help....

...right form for the nlme arguments. I do have examples in Modern and Applied Statistics with S and from other sources, but I still can't figure it out. I am trying to estimate species richness (sr) in streams across minnesota. My predictor variables are depth (d), habitat diversity (habdiv), drainage area (da) and an indicator variable representing the watershed/basins that the streams are in (bas: there are 10 watersheds). The variable explaining the greatest amount of variation appears to be da. I have used a log(da) to linearize the relationship, but an asymptotic relationship is more appr...

...th2b~1, random=pdBlocked(list(th1~1,th2~1)), start=c(ah=.5524,ads=.8,ads2=-.1,at=-1,th1=2.542,th2=-7.117,th1b=2,th2b=-7), data=pca1.grouped,verbose=T) I am looking at potential multicollinearity among the fixed effects, in particular I am concerned about multicollinearity between da.p (drainage area) and vol (volume). How do I interpret the correlation reported in the summary command for th1 and th1b, which are the asymptotes for fa20~da.p and fa20~vol. It is -.50, but how is the correlation calculated? I have run the above model with out vol and the coefficients for the remaining va...

All, has anyone any experience in using Wifi smartphones as SIP clients? Does this work properly? What models/brands are optimal for this (in terms of ease of use, battery life etc)? Thx!! B.

sorry I had a mistake sending my question without a subject. I do resend again. Please excuse me. > Hello > I have a data array with soil variables (caperf), in which the variable "clay" is factor (as I see entering str(caperf)) . I need to do a regression model, so I need to have arcilla (=clay) as a numeric variable. For that I have entered > >