Currently have very large xarray dataset with 7 data variables, each with shape of about 60-80k (x,y) values as well as 4 years (give or take) of time data. Im working on creating a UI that will display 3 maps, 1 main map and 2 maps shown below of a selected AOI, as well as a scatter plot, a time-series curve and a scatter matrix. I wan't this all to be fully interactive meaning updating all plots simultaneously with dropdowns selecting data variables and time-sliders etc.The issue i'm currently having is with memory and render time.
I'm wondering if anyone has done anything similar to this and what the best way to go about doing something like this while being efficient with memory etc.
xrviz does interactive 2d visualisation and extraction for xarray data (based on panel/holoviz). Please try it out and help us to improve it - it is still a work in progress.
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Hi I am new to R and trying to learn. I would like to compare the overlap of 4 clusters which have the same 4 categories each in them. Basically, I am thinking of making a clustered heatmap like this image below that I quickly made as an example in excel. Does anyone know of an R package that would allow me to make a graph like this? So far, I have only found packages that limit you to one variable per X vs Y variable grid space. Thanks so much for your suggestions!
I've created a time series plot in R using the ggplot package, but I wanted to see if I could further customize it by creating target zones. I originally started with an Excel plot that allows me to move a gray box to different areas of the plot as an easier way to point out a range of temperatures. However, I wanted to see if I could replicate this in R. Here's a screenshot of my Excel plot to better explain my goal: Time Series on Excel. On the time series plot, you can see a gray box that you can drag around and change the size of to better define a range of temperatures (in this case, it covers from 15-25C). Is this possible to do on top of my time series plot in R? I'm only starting to code in R so it's been quite hard for me to navigate, and I appreciate any help I could get. Thanks!
I am typically using R to do statistical analysis, and rather new to the data visualization capabilities. I'm trying to figure out if there is some way to marry the motion chart package gvisMotionChart with the mapping package, gvisGeoMap. I'd like to display a video of events over time, appearing on a map on their date of occurrence at lat/lon coordinates and then fading out. Anyone know if it's possible to do this? Any additional concerns if I have over 50,000 records (daily over 5 years) that I want to feed in to be displayed?
Please note that I do not have to use the gvis packages--I am just using these to motivate the idea. If there are other dynamic mapping packages available in R that will just draw on a shapefile and my event records, all the better.
Thanks!
I'd like to create a heat map in R that I want to use on a website. I stumbled upon the SVGAnnotation package which seems to be very nice to process SVG graphics in R to make them more interactive. First, I was planning to add tool tips for each cell in the heatmap - if the user hovers over the cell, the value of this cell should pop up. However, I am fighting with SVGAnnotation for more than 3 hours now, reading and trying things, and I can't get it to work.
I would appreciate any help on the SVGAnnotation tool tip function. But I would also very much appreciate alternatives to SVGAnnotation to add some activity to my R SVG heatmap.
So, what I have got so far looks like this:
library(SVGAnnotation)
data(mtcars)
cars <- as.matrix(mtcars)
map <- svgPlot(heatmap(cars))
addToolTips(map, ...) # problem
saveXML(map, "cars.svg")
My problem is the addToolTips function itself, I guess. Intuitively, I would simply insert the data matrix, i.e., cars, but this does not work and R gets stuck (it's calculating, but doesn't return anything, I waited 50 minutes)
EDIT:
After some more online research, I found a good example of what I want to achieve: http://online.wsj.com/article/SB125993225142676615.html#articleTabs=interactive
This heat map looks really great, and the interactive features (tool tips) work very well. I am wondering how they did that. To me, it looks like the graphic was done in R using the ggplot package.
I wrote a command line tool that can do exactly that if you are still interested to add tool tips to your heat map. It runs in Windows/Linux/MacOS terminals. All you need as input is the heat map as svg file and the data table/matrix that you used as input to create your heat map as csv or other text file.
i have a problem with plotting two Raster Data Sets in R.
I use two different IRS LISS III Scenes (with the same Extent) and what i want is to plot the pixel values of both scenes in one Scatterplot (x= Layer1 and y=Layer2).
My problem is now the handling of the big amount of data. Each Scene has about 80.000.000 pixels due reclassification and other processing i was able to scale down the values to a amount of 12.000.000 in each raster. But when i try to import these values e.g. in a data.frame or load them from an ascii file i always got problems with my memory.
Is it possible two plot such an amount of data, and when yes it would be great if someone could help me, i was trying it for two days now and right now im desperated.
Many thanks,
Stefan
Use the raster package, there's a good chance it will work out of the box since it has good "out-of-memory" handling. If it doesn't work with the ASCII grids, convert them to something more efficient (like an LZW-compressed and tiled GeoTIFF) with GDAL. And if they are still too big resize them, that's all the graphics rendering process will do anyway. (You don't say how you resized originally, or give any details on how you are trying to read them).