How to harness the power of geospatial data

Photo by Lucas Sankey on Unsplash

Python has several modules that deal with geospatial data such as Geopandas, Pyproj, Arcpy, etc. But one such package that I will talk about in this article and is one of my personal favorites i.e. Shapely.

Shapely is a Python package for the manipulation and analysis of planar geometric objects in the cartesian plane.

Some of the fundamental geometric objects are Points, Lines, and Polygon which form the basic components when working with spatial data in its vector form. Apart from these fundamental geometric objects, there are few other types that are basically a collection of the fundamental geometric objects…


Photo by Yannis Papanastasopoulos on Unsplash

“Data is the new oil” — an untapped valuable asset whose utility is of prime concern to most multinational corporations and organizations including governments for socio-economic development. Organizations have become hungrier for data as more the data, better are the insights to any problem, be it understanding customer behavior, sales trend or the contour of the seafloor.

In this article, let's talk about understanding the contour of the seafloor. Bathymetry data is collected by the navigation vessel to map the seabed using a multibeam echosounder. However, there are certain limitations in technology in collecting and storing huge amounts of data…

Bikram Bora

A Data Science enthusiast, a Mechanical Engineer, a strong technical professional with an analytical temperament

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