Blog Archives

Interactive Visualisation of the Profitable Amount of Waste to Dispose Illegally

September 30, 2014
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Interactive Visualisation of the Profitable Amount of Waste to Dispose Illegally

"Wow!" - I said to myself after reading R Helps With Employee Churn post - "I can create interactive plots in R?!!! I have to try it out!" I quickly came up with an idea of creating interactive plot for my simple model for assessment of the profitable ratio between the volume waste that could be illegally...

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Classification of the Hyper-Spectral and LiDAR Imagery using R (mostly). Part 3: Shadow Removal

May 8, 2014
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Classification of the Hyper-Spectral and LiDAR Imagery using R (mostly). Part 3: Shadow Removal

This is my third post in this series, here are the links to the Part 1 and Part 2. Sorry for the delay, but at that time I got completely consumed with my PhD thesis and this story just went out of my mind. To the point. There were 2 types of shadows I had...

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Analysis of the Time Aspect of the Matches at The International 3 (Dota 2 Tournament)

March 16, 2014
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Analysis of the Time Aspect of the Matches at The International 3 (Dota 2 Tournament)

It's been a while since I analysed something with R. I decided to pick into Dota 2 statistics. This game is the real eSport now with players fighting for respectable prise pools. And the main Dota 2 event is The International where best teams compete each other in astonishing battles. So I grabbed some...

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Classification of the Hyper-Spectral and LiDAR Imagery using R (mostly). Part 2: Classification Approach and Spectre Profile Creation

August 3, 2013
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Classification of the Hyper-Spectral and LiDAR Imagery using R (mostly). Part 2: Classification Approach and Spectre Profile Creation

IntroductionThis is the second part of my post series related to hyper-spectral and LiDAR imagery using R. See other parts: Part 1: Result Evaluation. In this part I will describe my general approach to classification process and then I will show you how to create cool spectral response plots like this:

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Classification of the Hyper-Spectral and LiDAR Imagery using R (mostly). Part 1: Result Evaluation

July 28, 2013
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Classification of the Hyper-Spectral and LiDAR Imagery using R (mostly). Part 1: Result Evaluation

Introduction There was the EEEI Data Fusion Contest this spring. This year they wanted people to elaborate about hyper-spectral (142-bands imagery) and LiDAR data. The resolution of the data-set was about 5 m.  There were 2 nominations: best classification and  the best scientific paper.  I work with high-resolution imagery quite often, but classification is a very rear task for me...

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A Note About proj4 in R

July 24, 2013
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It's been a long time since I had to transform some coordinates 'manually'. I mean I had a list of coordinates that I needed to project. There are some nice proprietary tools for it, but who needs them when the opensource is everywhere?Proj4 is an ...

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Getting raster histogram in QGIS using SEXTANTE and R

July 6, 2013
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Getting raster histogram in QGIS using SEXTANTE and R

The issue with the broken histogram creation tool in QGIS annoyed me far too long. Sometimes you just need a quick glance on the histogram of a raster just to make a decision on how to process it or just to assess distribution of classes. But as you kn...

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RSAGA: Getting Started

March 30, 2013
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RSAGA provides access to geocomputation capabilities of SAGA GIS from within R environment. Having SAGA GIS installed is a (quite obvious) pre-requirement to use RSAGA. In Linux x64 sometimes additional preparations are needed. In Linux SAGA as we...

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Rgdal Package: R crash during "writeGDAL" solved

August 12, 2012
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Lost entire day fighting this ridicules crash during export of raster created in R to GeoTiff (other "rgdal" functions worked fine). This option worked well several months ago when I last time used it, so I wondered what happened. I searched ...

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Spatial Randomness Evaluation in R: Monte Carlo Test

May 14, 2012
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Spatial Randomness Evaluation in R: Monte Carlo Test

This post is a some kind of reply to this one.So our goal is to determine whether our point process is random or not. We will use R and spatstat package in particular. Spatstat provides a very handy function for this, that uses K-function combined with...

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