Date of Award
2015
Publisher
North Dakota State University
Document Type
Master's Paper
Degree Awarded
Master of Science (MS)
Program
Software Engineering
Department
Computer Science
College
Engineering
Faculty Advisor
Nygard, Kendall
Description
Particulate matter called pm2.5 refers to harmful microscopic liquid or solid matter of diameter 2.5 microns suspended in the air. To effectively analyze and visualize data for pollution category pm2.5, a Geographic Information System (GIS) was created. This application, named the Pollution Analysis System (PAS), was designed and implemented to help the user visualize the data in terms of graphs, charts and maps. The interactive visualizations are aimed to enhance data readability and give meaning to the raw data. Correlation techniques were implemented, including calculations of the Pearson correlation coefficient, the use of the t-distribution to test the validity of correlation between the two data sets. Also, the p value was calculated to provide the confidence level of the correlation hypothesis and its significance.
Recommended Citation
Rastogi, Aakanksha, "Implementation of a GIS with Analytics for Pollution Data" (2015). Computer Science. 98.
https://digitalcommons.ndsu.edu/computer-sci/98
Rights
NDSU Policy 190.6.2
Rights Link
https://www.ndsu.edu/fileadmin/policy/190.pdf
Handle Identifier
https://hdl.handle.net/10365/24961