Which provide small-area statistics
Posted: Thu Feb 06, 2025 9:11 am
I was then able to enhance my dataset further by using data from the 2011 Census, which is available to researchers and students via the UK Data Service’s InFuse platform. In particular, I used the Census geographies data, for population estimates. For the purposes of my study, I selected residential population statistics at the LSOA level, which china rcs data allowed me to calculate the rate of missing incidents (n/population*1000). Rates are often used over counts as they allow for the comparisons of events over different geographical areas. I was then able to map and study the rate of missing incidents across each LSOA in Cheshire, providing a more accurate portrayal of distribution rates.
This is just a taster of the different types of spatial data that you can work with, and how they can be made richer through data linkage. GIS offers many more tools for developing your spatial analysis, such as coordinate reference systems (CRS), which are useful for pinpointing locations on a map. I won’t go into CRS here, but if you’re interested in getting started with GIS it’s well worth exploring further.
This is just a taster of the different types of spatial data that you can work with, and how they can be made richer through data linkage. GIS offers many more tools for developing your spatial analysis, such as coordinate reference systems (CRS), which are useful for pinpointing locations on a map. I won’t go into CRS here, but if you’re interested in getting started with GIS it’s well worth exploring further.