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

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Presentation on theme: "EML Analysis Tools Introduction Ecoinformatics Working Group Taiwan Forestry Research Institute (TFRI)"— Presentation transcript:

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

2 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

3 R-PHP – Open Source Program http://dssm.unipa.it/R-php/

4 Statistical Tool http://eml.twecoinformatics.org/modules/http://eml.twecoinformatics.org/modules/

5 Statistical Tool – The First Module

6 Upload EML from Local

7 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

8 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

9 Upload raw data from Local No field header Upload

10 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)

11 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

12 1 Data Check (2) 1 Update Value Range Error : Select correct number type to real

13 2 Data Check (3) Update Data Type Error : Update value ' 30. ' to ' 30 ' 2

14 Data Check (4) Data Type Error : Value Range Error : Select 'Set all the bad values to missing ( NA )' option 3 Update 3 54 5 4 The message for No data error

15 Edit R Code This line can not be modified

16 Statistics Output

17 Statistical Tool – The Second Module

18 Upload EML from URL (1)

19 Upload EML from URL (2) Right click

20 Upload EML from URL (3) Paste EML URL

21 EML transform into HTML by XSLT Metadata Display Raw Data Upload

22 22 Upload rawdata from URL EML Document Data Table Right click Paste EML URL Click

23 Data Check (1) Select 'Ignore all the value range check problem' option to update Next Page

24 Data Check (2) Select 'Set all the bad values to missing ( NA )' option to update If no data error

25 Statistical Functions Save checked data file

26 Statistics Output 26

27 EML Analysis Tools – Source Code http://imteam.twecoinformatics.org 27


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