search for: landuse

...39;m looking to do some stepwise discriminant function analysis (DFA) based on the minimization of Wilks' lambda in R to end up with a composite signature (of metals "Al","Sb","Bi","Cr","Ba") capable of discriminating 100% of the source factors (LANDUSE: "A","B","C"). The Wilks' lambda portion seems straightforward. I am using the following: gw_obj <- greedy.wilks(LANDUSE ~ ., data = QRBdfa, niveau = 0.1) gw_obj Thus determining the stepwise order of metals.But I can't seem to figure out how to coerce th...

Hi all. I have the problem, that the labels from a factor variable in a tree object, (more exact, the node - labels) is labeled in a plot with letters a,b,c... instead of the numerical levels. when I run >labels(tree.object) It gives me the correct labels (the problem concerns 'landuse': [1] "root" "landuse:1,2,3,4,5,6,7,8,9,10" [3] "altitude<2883.5" "landuse:1,4,6" [5] "altitude<1909.5" "altitude>1909.5" [7] "landuse:2,3,5,7,8,9,10" &quot...

...ld this be the problem ? Thanks, Jessica ########################################################################3 Dear all, I am exporting grass map into R thanks to the very useful spgrass6 package. library(spgrass6) # I have 3 map I am working with a MASK map of a specific area. # 1) a landuse map landuse<-readRAST6("landuse_mapname_in_grass") # 2) a catchment map which divide the area in several catchements catchment<-readRAST6("catchement_mapname_in_grass") # 3) a precipitation map precipitation<-readRAST6("precipitation_mapname_in_grass") # t...

...in system(paste("mdb-tables -1", file), intern = TRUE) : 'mdb-tables' not found Which i realize is saying that its not reading any tables within the mdb or not able to find any mdb at all at that location. the command i use is simply: RawInv.data..<-mdb.get('T:/Models/LandUse/GenericLandSupplyModel/Projects/2008BaseYear/EugeneUGB/Reporting/Summary.mdb') There is definitely a mdb in that location and the path is definitely correct. Its an MS Access mdb with 4 tables. When i open the said mdb i have to hit enter at a password window but no password is required. Co...

...e then added to the data frame to facilitate the later annotation of the plot, in summary: vec unit label ------------------------ fin $M financial decrease ghg Tg greenhouse decrease nox kg NOx decrease dep PJ depletion decrease luc m2 landuse decrease The Pareto frontier captures that subset of scenarios, dependent on their high-level performance, that are said to "dominate" and which, in the absence of other criteria, should alone be examined and traded-off. The remaining scenarios need not be considered. This dominating s...