Some common features of Geomaze include


Geomaze has a mapping component that allows users to display data on a map and interact with it visually, including the ability to pan, zoom, and view different layers of data.

Spatial analysis

Geomaze provides tools for analysing spatial data and patterns in relation to geographic locations, such as calculating distances and areas, identifying patterns and trends, buffering, overlay analysis, spatial statistics and performing spatial queries.

Real-time data integration

Geomaze provides the ability to display real-time data, such as traffic flow or weather patterns, on a map.


Geomaze provide the ability to display geographical data using various symbols, colours, and styles to highlight specific features or patterns in the data.


Geomaze has the ability of converting addresses into geographical coordinates (latitude and longitude), and vice versa, that can be displayed on a map.

Routing and Optimisation

Geomaze has the ability to calculate the shortest or quickest path between two or more locations, taking into account various factors such as traffic conditions, distance, time, road conditions and road types.

Data management

Geomaze provides tools for managing and organising data, including import/export functions, data editing, and data visualisation tools.

Data integration

Geomaze has the ability to import and integrate data from a variety of sources, including databases, spreadsheets, and web services.

3D visualisation

Geomaze provides 3D visualisation capabilities, allowing users to view data in a virtual 3D environment and perform analysis in a more immersive and intuitive way.

3D analysis

The ability to analyse 3D models of the landscape, including the ability to visualise terrain and buildings in 3D.

Mobile compatibility

Geomaze is designed for use on tablet and mobile devices, allowing users to access and use the data on the go.


Geomaze provides tools for collaboration and sharing of data and analysis results among teams and organisations.

Remote sensing and imagery analysis

The ability to process and analyse remote sensing data, such as satellite imagery or aerial photographs, to create maps and perform spatial analysis.

Encroachment management

Geomaze can be used to create maps that clearly show the boundaries of properties or assets and to identify and track instances of encroachment. This information can be used to support land use planning and enforcement efforts and to help resolve disputes over land use.

Geomaze can used in a wide range of industries, including utilities, environmental management, transportation, urban planning, real estate, and natural resources management. It provides valuable insights into patterns and relationships between geographic data and other types of data, helping organisations to make informed decisions based on location-based information.


Spatial mapping refers to the process of creating maps that represent geographic data and the relationships between features in that data. GIS (Geographic Information Systems) applications provide a range of tools for creating maps, including:

  • Symbolisation involves selecting and applying symbols or icons to represent different features on a map. This can be used to display the data in a visually appealing way and to highlight important features or patterns in the data.
  • Labelling involves adding text labels to the map, such as the names of cities, roads, or rivers. Labels can be used to provide additional information about the features on the map.
  • Legends are used to provide context for the symbols and colours used on a map. They can be used to explain the meaning of different symbols and colours and to provide information about the data being represented on the map.
  • Dynamic maps are interactive maps that allow users to pan, zoom, and query the data on the map. This allows users to explore the data in more detail and to interact with the data in real-time.
  • 3D maps provide a three-dimensional representation of the data, allowing users to view the data from different angles and perspectives. This can be useful for analysing the data in three dimensions, such as topography or elevation data.
  • These are some of the key features of spatial mapping in GIS applications, but the specific tools and capabilities will vary depending on the GIS software being used. The goal of spatial mapping is to represent the geographic data in a clear and meaningful way that allows users to better understand the relationships between features and patterns in the data.

    Spatial Analysis

    Spatial analysis is a key component of Geographic Information Systems (GIS) and involves analyzing geographic data to identify patterns and relationships in the data. Some common spatial analysis tools in GIS applications include:

  • Spatial queries involves tools that allow users to select and analyze geographic data based on specific criteria, such as finding all points within a certain distance of a location or selecting all features that intersect a polygon.
  • Buffers are zones around a feature or set of features that define a specified distance. They can be used to analyse and visualise the spatial relationships between features, such as finding all features within a certain distance of a major road or waterway.
  • Overlay analysis involves combining two or more layers of geographic data to identify areas of overlap and to create new data based on the combination of the input layers. For example, an overlay analysis could be used to identify areas of overlap between land use and wildlife habitats.
  • Proximity analysis involves identifying the closest feature(s) to a given feature or set of features. This can be used to analyse the spatial relationships between features, such as finding the nearest hospital to a set of schools.
  • Terrain analysis involves analysing and visualising the topography of an area, such as calculating slope and aspect, and creating 3D visualisations of the terrain.
  • Network analysis involves analysing the relationships between features in a network, such as finding the shortest path between two points or analysing the flow of a network, such as water or electricity.
  • TThese are some of the most common spatial analysis tools in GIS applications, but the specific tools and capabilities will vary depending on the GIS software being used.


    Geomaze is designed to remain operational and available for use even in the event of hardware or software failures and ability quickly from failures, disruptions, or disasters, and to continue operating despite adverse conditions. The goal is to ensure that the system is always available to users, even during periods of maintenance or when components fail.

    There are mechanisms in place to detect and respond to failures, to minimise the impact of the failure, and to quickly return the system to normal operations. Geomaze has implemented several strategies that can be used to achieve this, including:

  • Redundancy: This involves having multiple copies of a system or component, so that if one fails, the others can take over.
  • Disaster recovery planning: Developing plans and procedures for responding to disasters and restoring normal operations as quickly as possible.
  • Load balancing: This distributes incoming traffic among multiple systems to ensure that no single system becomes overwhelmed and unavailable.
  • Failover: This is the process of automatically transferring control from a failing system to a standby system, ensuring that there is no interruption of service.
  • Replication: This involves making copies of data in real-time, so that if one system fails, the data can be retrieved from another system.
  • Continuous testing and improvement: Regularly testing and refining the resilience of a system to ensure that it remains effective in the face of new or changing threats.
  • Geomaze understands the that it is important for ensuring business continuity and minimizing downtime, which can result in lost revenue and decreased productivity. It is often a critical requirement in mission-critical systems such as financial systems, e-commerce sites, and healthcare systems, where even short periods of downtime can result in significant harm.