Question

• Describe in detail a problem domain in the area of GIS.

• Explain in detail how you would gather data needed to address this problem. Is there a public dataset available? Would you need to purchase the data you need?

• Explain how you would model and/or store the data. Would you use a relational database? A NoSQL database? A GIS-specific database? A flat file? What would your data model look like and why? How (if at all) would you optimize this database for performance?

• Explain in detail ad justify an approach that would be appropriate for addressing the problem you described. Do not solve the problem

Answer 1

GIS stands for Geographic Information Systems . It is used for gathering , managing and analyzing data . It analyzes spatial coordinates and organizes layers of all the collected information into visualizations using maps and 3d simulations. using this we can have greater insights into data such as patterns , relationships combining all of these we can make more optimal decisions .

But since gis includes data and though some datasets may be available for primitive tasks for others we may have to web scrape or buy the data which can be really costly . In case of an internal fault it can be really expensive for the team to pay for . gis stores extremely large amounts of data at a given time this may cause problems while analyzing due to complexity of data . it also create problems while interpretation .

If the data is not available online or even we are not able to scrape it using various technologies data collection process using a gis is really expensive and in the long run all of the data collected may not be useful .

For using a database if we know that there will be a relationship among the items then we may use N RDBMS else NoSql can be used since it will perform faster in this case . To process large amounts of data , data analysis tools like pandas can be used and these data analysis tools are already being used .