To begin with, as this is the first post of 2016, Happy New Year everyone..!!
This post will be talking on how can someone easily build a web-map with RStudio and the web framework that they released for R, Shiny. Continue reading [Tutorial] R on Shiny: A web-mapping solution from RStudio
Sentinel-2 is an Earth observation mission developed by ESA as part of the Copernicus Programme to perform terrestrial observations in support of services such as forest monitoring, land cover changes detection, and natural disaster management. It consists of two identical satellites, Sentinel-2A and Sentinel-2B.
This is the description of Sentinel-2 from the respective page in Wikipedia. This mission will be a great alternative to Landsat or the paid SPOT images, providing images in a great detail and frequency, for most parts of the Earth.
Coming down to some technical details, both of the satellites, Sentinel 2A and 2B will provide multi-spectral images, within the latitude of -56 to +83 degrees (whole Earth, excluding Antarctica), in a resolution of 10m, 20m and 60m and a FoV (Field of View) of 290km. There will be 13 spectral bands that will be covered, including 3 for atmospheric corrections.
Sentinel-2A was launched in June 2015, while Sentinel-2B is expected to launch within mid to late 2016. There are some images that can be downloaded from the website of European Space Agency or directly from the awesome semi-automatic classification plugin for QGis, which was updated to be able to download data directly for analysis.
As part of the visualisation course in my MRes degree, me and my team had to do a visualisation on Cellular Automata. Continue reading Visualising London using Cellular Automata and Processing
Some days ago, quartz released some data about the world’s biggest coffee drinkers. I got that data and created two “vintage” maps for the coffee drinkers within the European Union. So, here are the results. Continue reading Coffee consumption per capita in the E.U.
In order for us to characterise the space around us properly, I did some research about how technological and innovation development have restructured the space in a regional, national and global scale. Continue reading Tracking spatial restructure through technology and innovation development
As part of a practical exercise in the MRes course, we were asked to create a map of London with the average GCSE scores. Since we needed a value for every pixel, and the data are about wards, we used a method of interpolation, and specifically the Kriging method. Also, I went one step further and used Kriging with both R (which is can be integrated in GRASS as well), by using the gstat package and ArcMap. Continue reading Kriging with R and ArcMap: Average GCSE scores for London
Considering my background, I am an urban planner by training, and I have always been a technology enthusiast. So, when it came for me to choose a diploma thesis topic, I decided to work on cellular automata modelling, and specifically the SLEUTH model. Continue reading Using SLEUTH for Urban Prediction Modelling