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Spatial Analysis

By using a range of tools and information (including Big Data), Spatial Analysis makes complex problems solvable.
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Spatial Analysis

“Understanding how people, things, and places relate to each other geographically is powerful.”
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Analysis based on location

Spatial Analysis demonstrates the power of locational data. By using GIS software to analyse data sets spatially, organisations can make sense of the world which is relevant to them. Spatial Analysis involves questioning what types of events happen, where they happen, and why they occur in certain locations. By moving beyond the use of simple tabular datasets, GIS enables users to understand the relationships between events and patterns within them. Spatial Analysis helps decision-makers to take best possible action in order to overcome challenges and to avail of opportunities.

Spatial Analysis is used in a range of fields:

  • Environment: understand a catchment’s water chemistry, identify areas at risk of flooding, and decide on action and responses.
  • Geology: understand geological formations, subsurface features, hazards, and groundwater flows in an area. Inform decisions related to resource exploration, environmental management, and engineering.
  • Energy: identify the best sites for energy generation, such as wind farms, and optimise infrastructural networks.
  • Agriculture: use GIS to increase efficiencies and profitability of farming activities. Monitor changes to a rural environment, estimate crop and livestock yields, and develop appropriate land management plans using Sentinel 2 processing and NVDI generation.
  • Business: determine a shortest routing path for logistical purposes, understand the correlations between markets, social events and demographics, identify the best location for a business, and analyse geographic trends within property markets.

Measure length and area

Spatial Analysis can be used to calculate the area, length, and shape of geographic features, as well as to perform complex clustering and segmentation tasks. With the help of High Performance Computing and Machine Learning capabilities, GIS technology can even be used to automatically detect and categorise features in imagery, such as buildings, landuse types, and infrastructure. This powerful technology presents end users with opportunities to process, model, and analyse massive volumes of data in an entirely new manner.



Spatial Analysis

Case study in development.

Why Choose Us


Innovative Approach

MapTech Solutions provide innovative solutions to complex problems. We write our code from scratch to meet customer needs. We realise that no out of the box solution can meet all our customers needs, hence driving innovation.

Customised Solutions

No one solution fits all and we pride ourselves on developing customised solutions for all our projects, regardless of project size and scale. Whatever the scope or scale of your project, we are here to assist you with tailor made solutions

Experience and Expertise

The MapTech Solutions team are highly qualified Geospatial Data Solution/ Visualisation experts with vast experience in LiDAR and spatial analysis, Enterprise GIS and software development.
Request your tailored Spatial Analysis solution today.

MapTech Solutions provides a range of Spatial Analysis services which will add value to your project or business. Our capabilities include proposal writing, data acquisition, analysis and interpretation, as well as data modelling and visualisation. Contact us today for more information.