Practice Data Compression and Indexing - 6.5.3 | 6. Geographical Information System (GIS) | Geo Informatics
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6.5.3 - Data Compression and Indexing

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the primary purpose of data compression in GIS?

💡 Hint: Think about why we would want to save space.

Question 2

Easy

Name one type of lossless compression method.

💡 Hint: Consider image formats that maintain quality.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is lossless compression?

  • Data that cannot be reconstructed
  • Data compressed without any loss
  • Data that is too big to manage

💡 Hint: Think about how we can retrieve the original file.

Question 2

True or False: Lossy compression retains all original data.

  • True
  • False

💡 Hint: Consider what happens when we prioritize size.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You are tasked with improving data storage for a city’s GIS system. Discuss how you would approach the implementation of lossless compression techniques while ensuring data integrity.

💡 Hint: Consider formats that maintain quality and what kinds of data you're working with.

Question 2

Explain how the use of R-trees can optimize the querying process for a GIS application that displays parks and recreational areas.

💡 Hint: Think about how data overlaps and pathways to access it quickly.

Challenge and get performance evaluation