similar to: MODISTools Help

1. You should always cc the list unless there is a clear reason not to. 2. You still have failed to follow the posting guide: You say you have difficulty troubleshooting your code, but you have shown us no code. You got an error message that seems explicit, but with neither code nor data, I do not know whether anyone can make sense of it. In any case, I certainly cannot. Cheers, Bert Bert

I am using the R-package MODISTools (different than MODIS) and am having a lot of difficulty troubleshooting my code. I have spent awhile going through MODISTools tutorials, searching for my error code, looking at the source code. However, I have not been able to find any relevant information related to my error message. The study I am currently working on involves a herd of 200 African buffalo

##MODISTools example library(MODISTools) library(lubridate) setwd('~/Documents/Modis data') #####MODISTools with buffalo data ###Read in data rename for easier coding tbdata <- read.csv('~/Desktop/All TB data for EVI, NDVI.csv') firstobs <- subset(tbdata, capture.ID == 'B1-1108') firstobs <- firstobs[,c(1,2,2,3,4)] colnames(firstobs) <- c('id',

On 6/22/2017 7:05 PM, Caroline wrote: > ##MODISTools example > library(MODISTools) > library(lubridate) > setwd('~/Documents/Modis data') > > #####MODISTools with buffalo data > > ###Read in data rename for easier coding > tbdata <- read.csv('~/Desktop/All TB data for EVI, NDVI.csv') Since this dataset is only on your desktop it cannot help us

> On Jun 22, 2017, at 4:44 PM, Caroline <gliddeca at science.oregonstate.edu> wrote: > > I am using the R-package MODISTools (different than MODIS) and am having a lot of difficulty troubleshooting my code. I have spent awhile going through MODISTools tutorials, searching for my error code, looking at the source code. However, I have not been able to find any relevant information

I have and they have not yet replied - however that was only two or three days ago. I have included a code example. > On Jun 22, 2017, at 8:25 PM, David Winsemius <dwinsemius at comcast.net> wrote: > >> >> On Jun 22, 2017, at 4:44 PM, Caroline <gliddeca at science.oregonstate.edu> wrote: >> >> I am using the R-package MODISTools (different than

Please read up [1][2][3] on what constitutes reproducibility. A sample of data that triggers the problem is essential. [1] http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example [2] http://adv-r.had.co.nz/Reproducibility.html [3] https://cran.r-project.org/web/packages/reprex/index.html -- Sent from my phone. Please excuse my brevity. On June 23, 2017 6:54:48

Saludos, estoy intentando usar la función reprojectHDF() ( http://r-gis.net/?q=ModisDownload). #### source('ModisDownload.R') library(raster) library(RCurl) path<-"~/R/MODIS/Data/Test" input<-list.files(path,"*.hdf",all.files=T,recursive=T,full.names=T) input outname<-paste(substr(input[1],40,45),".tif",sep='') outname

Hello! I've got troubles on following thing: As output I need a string like: INPUT_FILENAMES = H:\\AKK_temp\\Modis\\MOD13Q1\\austria\\MOD09Q1.A2008073.h18v04.005.2008083134952.hdf|H:\\AKK_temp\\Modis\\MOD13Q1\\austria\\MOD09Q1.A2008073.h19v04.005.2008082182221.hdf The filenames (dates) are with pathname (wrkdr) and separated with "|". The number of input filenames changes

> > Hi, > > I used > GDALinfo("MOD13Q1.A2001049.h13v11.005.2007002215512.250m_16_days_EVI.tif") and > got the results: > > rows 10 > columns 11 > bands 1 > origin.x 150701.4 > origin.y 7744897 > res.x 250 > res.y 250 > ysign -1 > oblique.x 0 > oblique.y 0 > driver GTiff >

Hello, I have conducted an SEM in which the resultant standardized path coefficients are much higher than would be expected from the raw correlation matrix. To explore further, I stripped the model down to a simple bivariate relationship between two variables (NDVI, and species richness), where it's my understanding that the SEM's standardized path coefficient should equal the correlation

Hello all- I have a question related to encoding. I'm using a seperate program which takes either 16 bit or 8 bit (flat binary files) as inputs (they are raster satellite imagery and the associated quality files), but can't handle both at the same time. Problem is the quality and the image come in different formats (quality- 8bit, image- 16bit). I need to switch the encoding on the

Hi People! I have following concern consisting of some steps to do in R: I have an ascii file (table) consisting of many columns and rows. 1. I would like to order all values of the columns one under each other. It will begin with column 1, then column 2 under column 1, column 3 under column 2 etc. until at the end there is only 1 column. How do I do it? 2. Second problem is to make a

Hi All, I'm running into a problem with GAM (in the MGCV package). When I try to estimate the model, I get the following error message: 1> fit <- gam(ndvi~s(rain)+s(temp)+s(rainl1)+s(rainl2)+s(rainxY)+s(rainl1xY)+s(rainl2xY)+s(tempxY), data=dsub, weights=wvec) Error in while (mean(ldxx/(ldxx + ldss)) > 0.4) { : missing value where TRUE/FALSE needed Using

Dear all, I have a problem with the command 'getURL' from the RCurl package, which I have been using to obtain a ftp directory list from the MOD16 (ET, DSI) products, and then to download them. (part of the script by Tomislav Hengl, spatial-analyst). Instead of the list of files (from ftp), I am getting the complete html code. Anyone knows why this might happen? This are the steps i

Hi weekend R helpers, *Is it possible to get a ylabel on the right hand side axis ==> axis(4)? Thankx, Jan opar <- par(mfrow = c(2,1)) plot(ts.Origi[,1],ylab='NDII', main=name) # Add the legend text in the right order legend.txt <- c("NDII", "Inverse KBDI") legend(2001.8,0.29, legend.txt,col=c(1,2), lty=1)

Hello R-users, I'm currently facing a pretty hard problem which I'm hopping you'll be able to help me with. I'm using R to create images. That alone is not the problem, the problem is that I'm using R to create 168 000 images... My code (which is given below) use different package (raster and rgdal) to import a image (size 20gig) and divide it into 168 000 pictures that are

Dear all, I am attempting to explain patterns of arthropod family richness (count data) using a regression model. It seems to be able to do a pretty good job as an explanatory model (i.e. demonstrating relationships between dependent and independent variables), but it has systematic problems as a predictive model: It is biased high at low observed values of family richness and biased low at

Dear R-ians, I have a question concerning plotting different plots on one figure. I have written a script to plot an image, a legend (based on different rectangles) and a timeseries plot on one figure. In my R-lagnuage it looks like this (without arguments that are not usefull for my question): #---> I first define the functions image.data<-function(...){ .... #-->Plot the

HI am plotting different density plots in one graph each with a different color. And i want to add labels to plot mentioning which color belongs to which data series. p2 <- qplot(corArms, data = data1, geom = "density", adjust=0.4, main="Arms Correlation All") + layer(data=data2, geom="density", adjust=0.4, color=I(2)) + layer(data=data3,