Slide 1: GP Surgery predictive analytics on future patient numbers
GP Surgery predictive analytics on future patient numbers produced for an NHS trust. This analysis was essential for decision-making on whether to expand existing GP surgeries or construct a new surgery to accommodate an anticipated increase in patient numbers, driven by projected growth in the urban population.
Slide 2: Determinants of health outcomes analysis & posters
Analysis and posters produced for a regional public health event to showcase the power of data in highlighting the differing determinants of health outcomes. The aim of the work was to demonstrate how spatial data insights can be used as a crucial tool in targeted public health campaigns and intervention strategies.
Slide 3: Analysis to inform unemployment support strategy
Geospatial analysis conducted using census data to assist a local Citizens Advice Bureau branch and a town council in developing strategies for addressing unemployment / insecure employment in the High Wycombe area. This work contributed to planning community drop-in sessions and skills boot camps to support residents.
Slide 4: Non-EU Country Higher Education Student Enrolments in the UK
Work produced for a UK university looking to attract more international students. The marketing department was already utilising data but faced challenges influencing decision-makers because its data presentations were non-cohesive and overly complex. By employing spatial analysis, the data came to life, and a compelling data story was created. This provided a cohesive narrative for a targeted marketing campaign.
Slide 5: Online course registration and attrition rate
This work was part of a strategy to improve a university student support function, better target early interventions, and reduce early attrition among students. An analysis of the evidence revealed a pattern: certain regions in the UK exhibited higher rates of early student attendance. This discovery prompted a deeper examination of specific areas within those regions, leading to the development of algorithmic interventions. These interventions automatically directed students to taster courses if they met specific criteria, allowing them to enhance their study skills before committing to full undergraduate modules.
Slide 6: Flood Zone maps and critical infrastructure
This project involved developing an interactive tool and producing a series of digital maps for use by a local authority’s emergency planning department and partners, including emergency services and Environment Agency representatives. The work was based on the Environment Agency’s flood zone maps and the mapping of critical infrastructure that could be impacted or compromised by flooding events.
Slide 7: Flood Zone & critical infrastructure – residential dwelling risk
Work produced for emergency planning purposes to identify specific residential dwellings and residents that could be affected in extreme weather or infrastructure events. This work was multifaceted and involved creating a dynamic address database that integrated with an online form application. This allowed emergency services to confirm that they had attempted to make contact with individuals living in potentially affected properties.
Slide 8: Targeting High-Yield Areas for a Charity Fundraising Team
Work undertaken for the Motor Neuron Disease Foundation, which involved creating a series of bulletins to provide insights on targeting areas for their ambassadors to seek supporters. The work triangulated publicly available Office for National Statistics (ONS) and demographic information with the foundation’s own internal data. This allowed the fundraising team to develop an operating framework with a straightforward, data-driven approach to target the areas with the highest yield potential.
Slide 9: Post Graduate GIS research (remote sensing)
This research involved an extensive study and the production of a dissertation, along with a summary poster, to explore how effectively time-series analysis of satellite imagery (specifically Landsat and Sentinel data) can model the relationship between urban land-use change and the intensity and duration of municipal water shortages. The research focused on two key locations: Lake Mead, situated on the Arizona-Nevada border in the United States, and the Pearl River Delta in Guangdong Province, Southern China.
David Cook 