Practice Data Compression And Indexing (6.5.3) - Geographical Information System (GIS)
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Data Compression and Indexing

Practice - Data Compression and Indexing

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Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

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