We are geo-spatial experts and have extensive and in-depth experience on a range of ecological, green infrastructure, ecosystem services and estate management projects.
Our services are tailored to the individual client needs but cover a range of areas, including:
Integrating environmental data with social and economic data for decisions with real context
Expert interpretation of raster and vector data to capture new data
Robust and repeatable analysis and modelling
Designing innovative methodologies so you can repeat the analysis in-house at a later date
Creating interactive web-maps for engagement and sharing information
Maps for all sorts of reports, participatory workshops and displays
Below are some case studies demonstrating the range and scope of our work.
The Challenge: Dover port had a requirement to migrate to QGIS to take advantage of the latest in GIS technology and improve data collection and reporting.
The Solution: Working closely with Dover Port staff across the organisation, Maplango:
- Delivered a scoping workshop to bring together interested staff to explore requirements, issues and potential uses
- Provided assistance to Dover Port IT team to set up and configure QGIS on Citrix
- Configured the QGIS installation in the most user friendly way, with custom map outputs
- Formatted and prepared existing data held by Dover Port and sourced additional data for context
- Developed a Android survey app and redesigned survey work-flows for maximum efficiency
- Delivered a 2 day customized introductory QGIS course
- Provided dedicated telephone, email and on-line QGIS support
The Outcome: The Dover Port Environment team are now collecting data in a efficient and labour-saving way and are able to visualise and analyse data like never before.
The Challenge: WWT deliver a programme of environmental education for schools and had a requirement to better understand visiting and non-visiting schools within an hour and half drive of WWT centres. This research would inform marketing, policy and fundraising approaches to schools.
The Solution: The first step was to use GIS routing functions to create isochrone polygons representing 1.5 hours’ drive time from the 10 WWT Centre’s. Over 100 datasets were then appraised for completeness, accuracy and appropriateness, and 60 slected for inclusion. This covered; Schools (ethnicity, free school meals, Ofsted), Neighbourhood demographics (Lower Super Output Areas, Index of Multiple Deprivation), accessible sites (Nature reserves, Open Access Land, parks and gardens).
The Outcome: The outputs from the data collection and collation are presented in several forms: a report, including maps, bar, pie and other charts, an Excel database of results per school, a Carto account, loaded with data and 5x demonstration maps, to visualise the data, A1 and A3 maps for office and reports.
The Challenge: The Royal Parks had 5-10 GIS users, which was expected to grow. There was a desire for more a more integrated data management across the Estates, Utilities, Cycling, Horticultural and Building maintenance teams. The IT and ecology teams had a requirement to understand how QGIS could integrate data from a range of databases to take a more joined up appoach.
The Solution: Maplango collaborated with staff to design series of exercises and led training course for staff across the organisation.
The Outcome: IT staff now have the deeper understanding of QGIS needed to inform a new GIS strategy and to migrate to an open-source system. The Ecology and Estates teams can now integrate a range of data which allows them to make better informed decisions.
The Challenge: As part of the development phase of the Old Chalk New Downs (OCND) project, Kent County Council needed to carry out a Map Regression Analysis. The aim was to reveal whether today’s field pattern, habitat field boundaries and public rights of way (PROW) had been present in the landscape for a long time.
The Solution: Field regression (create GIS polygon dataset of fields in OCND project area from the Ordnance Survey Mastermap (OSMM) dataset provided by Kent County Council (KCC) and add Tithe schedule information to attribute table. Add Kent Habitat Survey 2012 Information to attribute table (Intersect with OCND fields where Habitat polygons centroid is within). Field Boundary regression - Undertake field boundary classification. Undertake field boundary regression data capture. Load OS1 maps. Public rights of way (PROW) regression (create OCND PROW line GIS dataset (Manually cut line features and update attribute table)
The Outcome: The project has created several useful datasets which, when integrated with the habitat assessments, will provide actionable insight for restoration and management in the OCND project area. The will inform the location of connectivity work to be carried out, together with the results of a Habitat Connectivity Assessment. The analysis will identify the type of habitats and historical features that need to be retained or taken into account for restoration and improved management. The analysis will also be used to tackle the fragmentation of knowledge in the OCND project area by providing a framework by which the public can learn more about their historic natural heritage.
The Challenge: Greenwich University had a requirement to migrate campus GIS data and maps from ArcGIS projects to QGIS and to integrate spatial land management information from a bespoke database.
The Solution: Maplango standardised and formatted current GIS data to ensure consitency, set up QGIS project(s) with data loaded, developed automated map templates to rapidly create PDF maps to share with contractors. We also integrated data AutoCAD (DXF and DWG files). And we then trained staff in using the new system and continue to provide on-line support for staff peace of mind.
The Outcome: The estates team can now ensure contractors get to the right location, quickly. Staff are also able to draft better contract specifications and to plan and monitor ground maintenance activities.
The Challenge: Buglife wanted to expand their B-Lines project across the Anglian Water (10 counties).
The Solution: Maplango used habitat data and other data-sets to implement the B-Lines modelling methodology, prepare maps for steering groups and workshops, and to provide the final digital outputs. This involved producing the resistance surface weights and least cost raster surface models, designing map layouts and producing various maps. Also, assisting Buglife staff to design and produce presentations to steering group and workshop; and make the results accessible online using Carto.
The Outcome: A1 PDF maps to inform workshops, an interactive web-map to share outputs with wider stakeholders. These maps ultimately helped Buglife identify the routes of the B-lines and prioritise which land-owners to engage.