EML Analysis Tools Introduction Ecoinformatics Working Group Taiwan Forestry Research Institute (TFRI)

EML Analysis Tools

Introduction

Ecoinformatics Working Group

Taiwan Forestry Research Institute (TFRI)

Web Base Interfaces

XSLT / DOM

R - PHP

Database

( Web )

Output

Metadata (EML)

QA/QC

EML Analysis Tools – Statistical Tool

( Local or URL )

( MySQL )

Raw data

R-PHP – Open Source Program

http://dssm.unipa.it/R-php/

Statistical Tool

http://eml.twecoinformatics.org/modules/

Statistical Tool – The First Module

Upload EML from Local

Metadata

Display

Statistical

Functions

Raw Data

Upload

Select number type of the field

Incude the field in R code ( select at least one )ˇ

EML transform into HTML by XSLT

Natural numbers ： positive and non-zero counting

numbers (i.e. non-fractions), such as 1, 2, 3

Whole numbers ： positive counting numbers and

zero, such as 0, 1, 2, 3

Integer numbers ： positive and negative counting

numbers and zero, such as -3, -2, -1, 0, 1, 2, 3

Real numbers ： negative and positive fractions and

counting numbers and zero, such as -0.25, 3.14, 0, 1, -25

Number Type

Upload raw data from Local

No field header

Upload

Data Check (1-1)

Just for numerical attribute Data check support

Scientific notation (ex. 5.0e-1) Missing data set 'NA' for R

program Data Check Functions：

Edit records with bad values Set all the bad values to missing ( NA ) Eliminate all the records with bad

values Ignore all the value range check

problem (Just for value range error)

Data Check (1-2)

Error Summary * Data type error is bold red

* Value range error is bold blue

Missing Data Value

If missing data value is

defined by EML document,

it will be converted to 'NA'

type in statistical process

1

Data Check (2)

1

Update

Value Range Error： Select correct

number type to real

2

Data Check (3)

Update

Data Type Error： Update value

' 30.' to ' 30 ' 2

Data Check (4)

Data Type Error：Value Range Error :

Select 'Set all the bad values to missing ( NA )' option

3

Update

3

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The message for

No data error

Edit R Code

This line can not be modified

StatisticsOutput

Statistical Tool – The Second Module

Upload EML from URL (1)

Upload EML from URL (2)

Right click

Upload EML from URL (3)

Paste EML URL

EML transform into HTML by XSLT

Metadata

Display

Raw Data

Upload

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Upload rawdata from URL

EML Document

Data Table

Right click

Paste EML URL

Click

Data Check (1)

Select 'Ignore all the value range check problem' option to update

Next Page

Data Check (2)

Select 'Set all the bad values to missing ( NA )' option to update

If no data error

Statistical Functions

Save checked data file

Statistics Output

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EML Analysis Tools – Source Code

http://imteam.twecoinformatics.org

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