Robin's Blog

Archive for the ‘Academic’ Category

Please use sensible colours in your maps

If you are creating maps then for goodness sake Use sensible colours!  I was helping some undergraduates with some work the other day, and they decided to use the following colour scheme for representing river depth: Deep water: Red Medium-depth water: Bright green Shallow water: Pink Why did they do this? Well, either they were […]

Standard test images for Remote Sensing

When doing a course in Computer Vision last year I was introduced to the Lena image: This was originally a scan from Playboy magazine in 1972, but has taken on a life of its own as a test image in the field computer vision. The (very interesting) history of it is described on the Wikipedia page and […]

Rules of thumb in Remote Sensing

Many fields have a collection of rules of thumb – tacit knowledge that isn’t often talked about, but is often used in the field. Some of these rules have come from published information (papers, books, presentations etc) and some has just grown up over the years. This post isn’t anywhere near done yet – I’m going […]

Fun with the OS Gazetteer

As part of the OS Open Data initiative the Ordnance Survey has released a free version of their 1:50,000 scale gazetteer. This lists all of the names shown on the 1:50,000 scale OS maps, linked to information such as their location (in both Ordnance Survey grid references and WGS84 latitude/longitude pairs) and type (city, town, water […]

Reading data from instruments via RS-232 simply in Linux

As part of my research I do a fair amount of data collection in the field. Some of the instruments I use are very modern and connect to a computer via USB, interacting with custom-written client software which allows such luxuries as timed logging, triggered logging and local calibration. However, a number of the instruments […]

Categorised list of Free GIS Datasets

For a long time I have been searching for a simple, easy-to-use, comprehensive list of freely available GIS datasets that I can use in my academic work – or for any other non-commercial purposes (eg. teaching, ‘just for fun’ applications, etc). All of the lists that I have found have been out-of-date, riddled with adverts, […]

Review: Machine Learning: An Algorithmic Perspective by Stephen Marsland

Summary: Great book – clear explanations, useful example code and a friendly, easy-going writing style. One of my favourite academic books ever! Reference: Marsland, S., 2009, Machine learning: An Algorithmic Perspective, Chapman & Hall/CRC, Boca Raton, Florida, 390pp Machine Learning can be a difficult topic – as I found out when taking a Masters-level machine […]