LandHawk – Responsible Land Development Made Easier.

Geospatial Data Creation

Geospatial data creation is the life-blood of our success at LandHawk and we pride ourselves in the range, quality and usefulness of the geospatial data layers within our platform. Indeed, we have a dedicated data team that is constantly researching how we might further augment the data part of our offering. Through direct engagement, we invite and welcome new data suggestions from our user community and then bring our decades of GIS experience to bear on finding the optimal solution. We know that our customers are grateful for this flexibility and expertise because they regularly single it out for comment. Certainly, trying to replicate the same capability in-house would be costly, time-consuming and difficult.

Our aim is to bring new geospatial data into our platform every month. Sometimes this is 3rd party data, sometimes open, sometimes data that we assemble from numerous disparate sources.

Geospatial data creation process

Creating geospatial data involves collecting, storing, analyzing, and visualizing information that has a geographic or spatial component. Typically we follow a standardised process when considering and then delivering new geospatial data for customers:

  • Clearly define the objectives of the geospatial data: it is vital to understand the questions we want to answer or the problems we want to solve.
  • Acquire raw data from various sources.
  • Clean and preprocess the raw data to remove errors, inconsistencies, or irrelevant information. This step may involve data validation, transformation, and quality control. Convert data into a suitable format for analysis. This could include formats like shapefiles, GeoJSON, or raster.
  • Use geographic information system (GIS) software to perform spatial analysis. This may involve operations such as overlay analysis, proximity analysis, spatial interpolation, and spatial modeling. Analyze relationships and patterns within the data to derive meaningful insights.
  • Assign relevant attributes to spatial features. These attributes provide additional information about the geographic elements and are crucial for analysis.
  • Store geospatial data in a database for efficient retrieval and management. Spatial databases are designed to handle spatial data types and queries efficiently.
  • Assign geographic coordinates (latitude and longitude) to locations that do not have explicit spatial information. This process is known as geocoding. Georeferencing involves aligning data with a known coordinate system to ensure accurate spatial representation.
  • Implement quality assurance measures to ensure that the data meets the required standards and is fit for its intended purpose.
  • Document the entire process, including data sources, methods, and any assumptions made. Proper documentation is crucial for transparency and reproducibility.

How to start your geospatial data creation

If you would like to receive a copy of our current data inventory please email

If you would like to discuss the creation of a new geospatial dataset please contact us either by phone on 01793 238 264 or by email at

Further information for some of our key datasets can be found on our Data Insights page

To check whether your requirement is already covered by one of our data APIs, please visit the APIs page. Please note that we are able to create an API for each of the 150+ geospatial layers that we currently hold. We are also able to combine a number of different layers as a bespoke API.

Get started with our Geospatial Data Creation today