Object Oriented Analysis Of Weather Data In Virginia | Zendy

S. Thomas | Zendy; Vinod Lohani | Zendy; Bevlee Watford | Zendy

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Object Oriented Analysis Of Weather Data In Virginia

Author(s) -

S. Thomas,

Vinod Lohani,

Bevlee Watford

Publication year - 2020

Language(s) - English

Resource type - Conference proceedings

DOI - 10.18260/1-2--10479

Subject(s) - virginia tech , session (web analytics) , computer science , object (grammar) , object oriented programming , research object , index (typography) , library science , operations research , engineering , artificial intelligence , world wide web , geography , programming language , regional science

An object-oriented approach is presented to analyze drought patterns in Virginia using probabilistic analysis of long term weather data (i.e. Palmer Drought Severity Index (PDSI)). The study is a part of an undergraduate research project, funded by the office of the Minority Engineering program under a VT-GE program, at Virginia Tech. The purpose of the program is to encourage and support the efforts of under-represented engineering students to seek graduate degrees. The present paper describes research work of one of the current VT-GE scholars.

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