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| bio | website | rowlingson.com |
|---|---|---|
| location | Lancaster, United Kingdom | |
| age | 47 | |
| visits | member for | 2 years, 8 months |
| seen | 2 days ago | |
| stats | profile views | 116 |
Here I am.
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2d |
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Why should a user choose to use open source software in their remote sensing research? I might argue that science needs open-source hardware too... |
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2d |
answered | Why should a user choose to use open source software in their remote sensing research? |
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May 20 |
answered | Clipping a raster in R |
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May 20 |
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Clipping a raster in R Any chance you could make this reproducible by others, by perhaps creating rasters from random data with the same extent and resolution? |
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May 12 |
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Built a query for polygon Shapefile in R Comment: don't use maptools for reading, use readOGR from package:rgdal - it will preserve any coordinate reference info from the shape file. |
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May 6 |
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How to efficiently read and reclassify many rasters in R Okay, well compare the time it takes in R with the time it takes in Python. Can you not operate on a whole numpy array rather than looping? |
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May 5 |
answered | How to efficiently read and reclassify many rasters in R |
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May 5 |
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How to efficiently read and reclassify many rasters in R The "R is slow when doing cycles (loops)" is often misused as a reason to avoid R. Yes, if you looped over the cells of a raster in R it would be slow, but the raster package works on entire rasters at once, and has a lot of C code and so runs at C speed. For a raster that size, most of the work would be at C speeds, the looping overhead would be insignificant. |
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Apr 22 |
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Is there any method to analyze data from fire protection events? So edit your title to reflect this. My point still stands, any visualisation's purpose is to tell a story, and unless you know the plot how can you tell the story properly? |
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Apr 21 |
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Is there any method to analyze data from fire protection events? First you need to ask yourself "what do I want to find out from this data set?" |
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Apr 16 |
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How to efficiently read a kml file into R KML being XML isn't really designed for random access. The real solution is to put your spatial data into a spatial database, and have some spatial indexes for speed. Check out PostGIS. |
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Apr 16 |
answered | How to efficiently read a kml file into R |
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Apr 15 |
awarded | Caucus |
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Apr 11 |
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How can I generate a fishnet grid and a matrix of percentage of overlapping in R? What's a 'fishnet grid'? Is it lines? Or small square polygons? Or a raster? What do you want to do with it when you've got it? |
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Apr 9 |
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Why aren't 3D Globes used as the basis of GIS systems? Until you can instantly 3-d print from Google Earth, its still going to be projected into the flat screen coordinate system in front of you... |
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Feb 17 |
answered | Choropleth in R: custom breaks and plotting |
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Feb 14 |
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Use Java to automate the service creation and display up to date data on the map You seriously want to create the client side of the web application in JAVA? As in a Java Applet running in a browser? Just Don't Do It. |
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Feb 6 |
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Difference between gdal versions in reading raster on two machines? sure, can you add the gdal version numbers to a comment on my answer? Or better still, edit your question... |
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Feb 6 |
answered | Difference between gdal versions in reading raster on two machines? |
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Feb 6 |
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Difference between gdal versions in reading raster on two machines? How different are these machines? What version of gdal/ogr do they have? What does gdalinfo --version on the command line say? Could it be related to this problem I had with afripop data: geospaced.blogspot.co.uk/2011/12/reading-afripop-data.html |
