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An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

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Getting Started with Geospatial Analysis on SageMaker Studio Lab

Using geographic data and geospatial images to study the impact of climate changes, natural disasters, or human activity.

10 min readDec 6, 2021

Geographic data includes geospatial data captured using satellite imagery and geographic postponing systems (GPS) and other geographic data generally described explicitly in terms of geographic coordinates. Geospatial analysis includes collecting, reporting, plotting, and analyzing this data using software tools, statistical methods, and machine learning. Geospatial analysis is used for understanding the impact of climate changes, natural disasters, or human activity, usually on a specific geographic location.

Challenges Working With Geospatial Data

There are some challenges when working with geospatial data. First, geospatial data can be huge, making it difficult and sometimes impossible to work without high capacity storage and compute. A workaround to address size complexity is to narrow down your focus or study area and the time period. This makes it relatively easy to retrieve and analyze a small subset of the data.

TDS Archive
TDS Archive

Published in TDS Archive

An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

Sam Palani
Sam Palani

Written by Sam Palani

Machine Learning & AI Specialist @ AWS. ❤ = Travel, Books & Jazz. {samx18 @ most places online} Views are my own.

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