Weather Station Data AnalysisBy Anthony Wilson

About this Project

This project involves the development of :

A program for the vetting and compressing of the data gathered by the weather station.

A web-based interface for an Oregon Scientific weather station (pictured right).

An analytical tool for making complex queries of its archived data.

Data Vetting and compression

The compression and vetting application will first read through a group of files for errors, and compress them down into logical groups. For example, it will create the data for a single day, a single week, a single month and so on. This also makes it easier to perform queries based on one day’s data. For example, wanting to know the top temperature for one

This is turned into a graph, and then displayed in a applet.

The program can also be run as an offline application, which creates a window for the graphs to be displayed in.

Data Analysis

The analysis section of the project will use SPSS or another analytical program.

The compressed and vetted data will be read into this program.

A statistical analysis will be produced based on the query supplied by the user.

day. Instead of producing a graph, the temperature from that day can be read off and displayed as a string, or more likely, using the Textline Class from Graph2D, which produces textual output.

The data will be used by both of the other programs to ensure a supply of error-free data.

This will make it easier to do calculations across more than one day’s set of data.

Web Based Interface

The web-based section of the project uses the Java package Graph2D to create the graphs.

The vetted data from the weather station, stored in gzipped files, is accessed by the program.