Interactive Visualization and Analysis of Hurricane Data

Author

Cordar, Andrew ; Abukmail, Ahmed

Author_Institution

Sch. of Comput., Univ. of Southern Mississippi, Hattiesburg, MS, USA

fYear

2011

fDate

11-13 April 2011

Firstpage

72

Lastpage

77

Abstract

We present a novel methodology to process hurricane data to be ready for display in Microsoft Live Labs Pivot. We describe the complexity of hurricane data files, which makes gleaning information out of them difficult. Hurricane data files contain a significant amount of information pertaining to hurricanes, however it is a poor representation of data. We present an algorithm for a parser to extract information out of data files and generate a CXML formatted file compatible with Microsoft Live Labs Pivot for a more appealing and therefore more useful statistical representation. We show how historical data from past hurricanes can be modified for representation.

Keywords

XML; data analysis; data visualisation; geophysics computing; interactive systems; statistical analysis; storms; CXML; Microsoft Live Labs Pivot; collection extensible markup language; hurricane data analysis; hurricane data interactive visualization; parser; statistical representation; Data mining; Data visualization; Hurricanes; Image resolution; Storms; Tropical cyclones; XML; CXML; Hurricane Data File; Microsoft Live Labs Pivot; Parser;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology: New Generations (ITNG), 2011 Eighth International Conference on

Conference_Location

Las Vegas, NV

Print_ISBN

978-1-61284-427-5

Electronic_ISBN

978-0-7695-4367-3

Type

conf

DOI

10.1109/ITNG.2011.20

Filename

5945210