Geospatial Data Science to solve business problems

What is Geospatial Analysis?

Geospatial Data Science is a branch of data science that focuses on identifying and analyzing the features of spatial data, through the development of models that allow us to understand what events happen and exactly where they happen.

 

What business problems can be solved with Spatial Data Science?

There are multiple applications available for Geospatial Data to make business decisions. Whether identifying the best locations for new retail outlets, measuring industrial infrastructure or detecting weed outbreaks in plantations by analyzing satellite imagery, or even competitor analysis models and large-scale object counting, ways in which companies can take advantage of spatial data are countless.

SOLUTIONS AND APPLICATION

  • Processing and interpretation of satellite images or high and low resolution area.
  • Multispectral image processing.
  • Image classification models.
  • Classification algorithms for object identification in images.
    • Models for identifying and determining the objects in images, also counting and sizing these objects.
      • How many distribution centers or warehouses are in the image?
      • How large are each of the warehouses?
    • Object identification models in high-resolution satellite images for structural sizing.

 

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