Category

Projects

Mapping 300 places in a single afternoon

We’ve launched our Accessible Bath project by holding our first public mapping event. Here’s an overview of what we achieved on our first day

Adding and viewing accessible locations directly on OpenStreetMap

This is a guest post from local OpenStreetMap contributor, Dave Fox. As we noted in our Getting Started guide, Wheelmap doesn’t show every possible location on the map. It uses a custom list of 300 different types of location drawn… Continue Reading →

Guidance for mappers

Our first mapping event is only a few days away, and we’re putting the finishing touches to some more guidance and support for our volunteer mappers. We’re sharing it here to allow you to look it over ahead of the… Continue Reading →

Join our public mapping event on 13th May

We’re running our first public mapping event for Accessible Bath on 13th May. We’d like to get as many volunteers together as possible to help us map accessible spaces in the city. You don’t need any special technical expertise, anyone… Continue Reading →

Using Open Data To Understand Voter Registration Levels

With an election coming up, thoughts turn to registering to vote; campaigns at all levels will start encouraging people to register and participate. From an open data perspective, we want to know what could be learnt about electoral registration from… Continue Reading →

Accessible Bath: Getting Started

In 2017 we are running a project called “Accessible Bath”. Our goal is to map the accessibility of public locations in the centre of Bath. In this post we explain what we’re hoping to achieve and give you some pointers… Continue Reading →

Announcing Accessible Bath

We’re starting a new project this year called “Accessible Bath”: mapping accessible spaces around the area. Last week we held our first meeting to start shaping up the project and our initial plan of action. In this post I introduce the project,… Continue Reading →

Bath Machine Learning Meetup

This is a guest post by Austeja Petroskeviciute, chair of the recently launched Bath Machine Learning Meetup. Austeja has provided an introduction to the group and some background on their parking data project.

30 Days, 30 Visualization, 1 Dataset

This is a guest post by Owen Jones, who thoroughly investigated the historic car park occupancy data from our data store – creating a different visualisation of the dataset every day during November 2016. 

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