python

Introduction The census provides a rich set of demographic information that could be useful for various data science tasks, such as geomarketing, house price analysis etc. With the results of the 2021 census being published recently, this notebook demonstrates how to manipulate this data with FOSS python tools to build a dataset that can be used for downstream tasks. For this demo, I will be focusing on output areas (OA) of London:...

There are two main ways geospatial data are stored rasters, where each ‘pixel’ stores data values. This corresponds to files such as geotiffs. vectors, where information is stored more like a table form, and each row will have a ‘geometry’ field which stores information that allows you to recreate a geographical feature, such as a point , a polygon etc. It might also store the coordinate reference system so you can correctly place the shapes on a map This set of notes corresponds to handling raster data....