London Scientific Research are independent specialist mapping and geographic information consultants with over 15 years of experience providing mapping and GIS services to a range of sectors in the UK and internationally. Our goal is to enable organisations to exploit geographic information to aid decision-making and improve efficiency.
We are a small business and work closely with our customers to understand their requirements and deliver flexible GIS consultancy, software, and data solutions, along with tailored support and training. Our experience ranges from small mapping and development projects through to large-scale enterprise GIS implementations for high-profile customers.
London Scientific Research can supply, configure, and customise commercial and open-source mapping and geographic information systems (GIS) for desktop, mobile, and web platforms. We can provide map data to support your application, manage your spatial data, or host your maps, data, and applications in the cloud, greatly simplifying the implementation process. Feel free to explore some of our core services below.
Geographic Analysis & Maps
The power of mapping and geographic information systems lies in their ability to process and visualise large amounts of spatial information through geographic analysis, revealing information, patterns, and relationships that enable better communication and decision-making.
Organisations are increasingly collecting and maintaining locational information relating to assets, vehicles, customers, or competitors. A host of external geographic data can also be utilised in geographic analysis to reveal information about customer demographics, points of interest, optimal routes, or environmental risks such as flooding. However, many businesses do not fully exploit locational and geographic information for business intelligence or decision-making.
London Scientific Research can help your organisation make better use of geographic information. We can produce custom maps, visualise business data, or undertake more complex geographical analysis by overlaying or combining multiple datasets.