6.5.3. Data Compression and Indexing

Try these first

1. 1.

   What is the primary purpose of data compression in GIS?

   Hint

   Think about why we would want to save space.

2. 2.

   Name one type of lossless compression method.

   Hint

   Consider image formats that maintain quality.

3. 3.

   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.

4. 4.

   True or False: Lossy compression retains all original data.

   • True
   • False

   Hint

   Consider what happens when we prioritize size.

5. 5.

   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.

6. 6.

   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.