When the Thames Path National Trail Association took over management of the section of the Thames Path through London, they approaches exegesis to carry out a full condition survey of this section of the Thames Path.

Exegesis were appointed by Natural England to compile a national HLC dataset, drawing together the existing sub-regional HLC datasets and applying a common framework, structure and terminology to a new unified dataset. The aim of the project is to improve the awareness, understanding and ability to manage and monitor England’s historic landscape at a national scale.

exeGesIS successfully incorporated the changes made by over 140 public path orders into the digital map layer, and linked the scanned order files to records in CAMS. This provided the client with an effective, efficient tool to help manage their rights of way.

The Royal Commission on the Ancient and Historical Monuments of Wales commissioned Exegesis to build an accessible and bilingual website in line with the Historic Environment (Wales) Act 2016 which required Ministers to maintain a list of historic place names in Wales.

We created a hedgerow map for the Gower based upon Ordnance Survey MasterMap and aerial photograph interpretation. The resulting dataset contained 22,370 features of which 17,013 were thought to be hedges.

We reviewed the data management processes used by the Saving Scotland’s Red Squirrels project to identify any problems or limitations and make recommendations. We also wrote a specification for an online Community Hub.

This survey of around 140km of public rights of way in Wrexham marks the first use of our new CAMS Mobile solution on a large structured survey.

Ceredigion County Council are using CAMS to manage their Register of Common Land and Village Greens. Site boundaries are mapped and information held on ownership and the rights exercised across the sites. Because the system is shared with ROW staff, management of the sites can be integrated with access management.

Pembrokeshire Coast National Park Authority had a new footpath dedicated by a landowner. ExeGesIS were asked to capture the precise line of the path on the ground using GPS to add the route to their digital Definitive Map, held in their CAMS application.

We demonstrated through spatial processing and statistical analysis that it may be possible to predict wood pasture and parkland quality. This project generated a model that could be used to target survey effort to those sites with the highest predicted quality.