eml analysis tool s introduction
DESCRIPTION
EML Analysis Tool s Introduction. Ecoinformatics Working Group Taiwan Forestry Research Institute (TFRI). EML Analysis Tools – Statistical Tool. Metadata (EML). Web Base Interfaces. ( Local or URL ). Raw data. XSLT / DOM. Database. QA/QC. ( MySQL ). R - PHP. Output. ( Web ). - PowerPoint PPT PresentationTRANSCRIPT
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EML Analysis Tools
Introduction
Ecoinformatics Working Group
Taiwan Forestry Research Institute (TFRI)
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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
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R-PHP – Open Source Program
http://dssm.unipa.it/R-php/
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Statistical Tool
http://eml.twecoinformatics.org/modules/
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Statistical Tool – The First Module
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Upload EML from Local
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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
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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
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Upload raw data from Local
No field header
Upload
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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)
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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
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Data Check (2)
1
Update
Value Range Error: Select correct
number type to real
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Data Check (3)
Update
Data Type Error: Update value
' 30.' to ' 30 ' 2
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Data Check (4)
Data Type Error:Value Range Error :
Select 'Set all the bad values to missing ( NA )' option
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Update
3
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The message for
No data error
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Edit R Code
This line can not be modified
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StatisticsOutput
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Statistical Tool – The Second Module
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Upload EML from URL (1)
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Upload EML from URL (2)
Right click
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Upload EML from URL (3)
Paste EML URL
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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
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Data Check (1)
Select 'Ignore all the value range check problem' option to update
Next Page
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Data Check (2)
Select 'Set all the bad values to missing ( NA )' option to update
If no data error
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Statistical Functions
Save checked data file
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Statistics Output
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EML Analysis Tools – Source Code
http://imteam.twecoinformatics.org
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