Geospatial Services

Geospatial information is related to geography and mapping, it is helpful in diverse fields such as mapping routes for power lines, logistics, planning network towers for telematics and so much more. Locational information (such as residential areas, buildings and other entities) that is connected to a specific address, city or ZIP code.

The application of geospatial technology is so vast that the opportunities are limitless. We deliver quality services knowing well the need for this drastically changing sector that has been shaping human lives in a revolutionary way.


Axximum is a leading provider of products and services that help in the growth of the Geospatial Sector, with various demands in the field of photogrammetric mapping services, Global Positioning System, Geographical Information Systems and remote sensing organizations.

Types of Geospatial Data

Geospatial data varies in 2 formats, namely, the vector data and raster data

Vector Data:

Geometric shapes are used to show location and geographic features. There are various methods of representing different objects such as schools, buildings, cities, roads and waterways. Vector Geospatial data is scalable, and is perfect for depicting boundaries, while having small file size.

Vector Data can be further classified into 3 types: point, line (or arc), and polygon data

  • used to represent discrete data points, used to locate specific locations, cities
  • used to represent linear features such as rivers, trails or streets.
  • used to represent boundaries of a city, lake or forest.

Raster Data

It is also known as grid data, representing surfaces; Includes aerial and satellite imagery, usually represents data via a digital image such as a scanned map or photograph.

There are 2 types of raster data:

  • Temperature and elevation measurements come under this classification.
  • Population density can be plotted using discrete raster data.

Rendering spatial data location information into a cell-based format is known as stair stepping, in this data is recorded as pixels or grids within an image.

Geospatial Technology and benefits

Geographic information is one of the most valuable datasets that are used in numerous software related to machine learning and AI, Geospatial technology collects, analyses and stores all this information concerning geographic locations, which is used to analyse the human activity and its impact.

Geographic Information System (GIS) uses digital software to amalgamate maps and datasets regarding environmental events or socioeconomic trends, while creating several layers of data maps to analyse complex data in a much more efficient way. Layering can be done using each point which is connected precisely to a location on the Earth.

Benefits of Geospatial Technology:

  • Advanced Urban Planning
  • Assistance in Geospatial AI
  • Improving Geospatial Intelligence
  • On-Demand Mapping of remote locations
  • Long Range Autonomous Vehicles (using satellite imagery)

How Geospatial Analysis can be used

Analysis of Geospatial information is basically a way of extracting useful data, this can be used to understand all that geographic information while monitoring human activity, it is very much essential for the fight against climate change.

The utilisation of various technologies like a GPS, satellite imagery and laser mapping by Geospatial analysts or geospatial engineers can be used to manifest data intense maps that are layered with geographic information, which can help us understand better about the information that has been collected.

  • Geospatial analysis can help network companies find and resolve network anomalies even before a problem occurs. This amount of data can also be used to map certain factories or buildings.
  • Situational awareness can be brought about faster since enemy locations can be found out easily through mapping movement and thermal scans. This type of predictive analytics can help military personnel devise better strategies in placing their troops and anticipate the supply runs for better covert operations.
  • Weather data can be collected and in the event of an extreme weather condition, it could be used to send a relief team or evacuate on time for events such as wildfires, hurricanes, blizzards while giving enough warning for an effective response even before a disaster strikes. Geospatial data science helps airlines on a daily basis with routing while avoiding extreme weather.
  • It can help in planning urban settlements by visualising the energy grid and determine how growing populations could receive that energy while calculating the cost of transportation. It can also be used to identify the correlation between crime and urban settlement, and why it occurs, while figuring out how many schools are located nearby. In third world countries water sources can be located easily and proper resource management could help the people in a much better way.

Data at this level is so powerful that it can be used to solve world problems in no time, like finding out natural resources for proper use, combating climate change with figuring out human settlements, finding out the number of schools all over the world.

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