Introduction The ‘Revoke article 50 and remain in the EU petition’ is the most popular petition ever, which aims to stop the brexit process. The rules are that after 10,000 signatures, petitions get a response from the government, after 100,000 signatures, petitions are considered for debate in Parliament and after 17.4 million, we stop Brexit (Andrea Leadsom, 2019). As of writing this (25/03/19 17:00 GMT), the petition has amassed over 5 million signatures.
Background I went on a course in Cambridge over the summer of 2018. This was to get me up to speed on structural equation modelling (SEM), which has a lot of potential applications in scenarios where the pathways between measured and unmeasured variables are the central focus of the research question.
What is SEM? SEM is a mixture of confirmatory factor analysis (CFA) and path analysis. Another way to describe that, is that you have a measurement part and a structural part.
Background Longitudinal analysis is important as due to the temporal sequence of exposure then outcome, we can make a stronger case for causality. A derivative of a class of models that fit into the ‘data-mining’ family is sequence analysis. One use of this model is to understand lifetime states, e.g. being employed, being in education, being retired. By understanding these state sequences we can understand how the duration and timing of a state can affect health in the long term.
The aim was to understand more about the optional courses available for MSc students in the school of Geosciences. This meant building a dataframe that contained the interesting bits of information available on the University of Edinburgh website so that I could query it to find out answers to questions such as: How many 10 credit courses are available? Which degree cluster do the courses belong to and is there any overlap?
Introduction Motivation I’m interested in a long-term small-area level measure of ‘green spaces’, features of the natural environment that are important for a wide variety of health outcomes.
Green spaces over time There are two major green space datasets for Scotland, Scotland’s Greenspace Map 2011 and the Ordnance Survey’s Greenspace Map 2017. These maps were produced by characterising OS polygons using aerial photos, with the latter updated every 6 months from July 2017.
NetCDF stands for “Network Common Data Format” and was created by ‘unidata’ for handling large geospatial data. Here’s a short description from their website:
“NetCDF is a set of software libraries and self-describing, machine-independent data formats that support the creation, access, and sharing of array-orientated scientific data.”
NetCDF files are containers for dimensions, variables and global atttributes. It’s used to store climatology, meteorology and oceanography data by over 1,300 organisations including NOAA and EUMETSAT.
Welcome to my first post. As an avid R user, I was amazed at how quickly it was to setup a static website with the help from the R package: “blogdown”. I thought Yihui Xie gave a convincing argument for blogging from his personal experience (Appendix D in above website). In summary he provides three reasons in favour of blogging:
To consolidate thoughts and create a clearer argument for topics that are important to you.