Use library(parallel) to read raster data in parallel fashion
Recently, I have been doing some analysis for a project I am involved in. In particular, I was...
Posts Tagged ‘ raster ’
read raster data in parallel
plotting raster data in R: adjusting the labels and colors of a classified raster
Thank’s to Andrej who wrote this comment: “Is it possible to to color the resulting 12 clusters within your original image to get a feel for visual separation?” You can do so: But how to get values at a location? You will need these values to determine whether the defined class is representing a water
unsupervised classification of a Landsat image in R: the whole story or part two
The main question when using remote sensed raster data, as we do, is the question of NaN-treatment. Many R functions are able to use an option like rm.NaN=TRUE to treat these missing values. In our case the kmeans function in R is not capable to use such a parameter. After reading the tif-files and creating
unsupervised classification of a raster in R: the layer-stack or part one.
In my last post I was explaining the usage of QGis to do a layerstack of a Landsat-scene. Due to the fact that further research and trying out resulted in frustration I decided to stick with a software I know well: R. So download the needed layers here and open up your flavoured version of
3D Maps in R
Talking about elevation, one can also plot a wire frame 3D view of an area using the persp function. Using the same data source from my previous post, 3D view of Marinduque, Philippines was produced using the following code below: ################...
Mindoro Digital Elevation Map
Saw a map produced by my previous student using a commercial GIS software.Using R raster package and data from diva-gis.org. I produced the same map
Finding Waldo, a flag on the moon and multiple choice tests, with R
I have to admit, first, that finding Waldo has been a difficult task. And I did not succeed. Neither could I correctly spot his shirt (because actually, it was what I was looking for). You know, that red-and-white striped shirt. I guess it sho...
rasterVis
The raster package defines classes and methods for spatial raster data access and manipulation. The new rasterVis package complements raster providing a set of methods for enhanced visualization and interaction. It is now at CRAN. Several examples can ...
Raster, CMSAF and solaR
The Satellite Application Facility on Climate Monitoring (CMSAF) generates, archives and distributes widely recognised high-quality satellite-derived products and services relevant for climate monitoring in operational mode. The data is freely accesible here after a registration process. I have ask them for several files with monthly averages of global solar radiation over the Iberian Peninsula (download). 
Great circles, raster, sp and lattice
Recently I found a post at FlowingData with a detailed tutorial to map connections with great circles with R. The tutorial of FlowingData is excellent, but I feel more comfortable with the sp classes and methods, and with the lattice and latticeExtra packages. Besides, I want to use the free spatial data available from the 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
