Slide license

Creative commons:

• need attribution (BY)
• for non-commercial purposes only (NC)
• can be copied, modified (SA, share-alike)

A bit about me

Personal data

Name: Dasapta Erwin Irawan

Job: Lecturer/researcher at Groundwater Engineering Program, ITB

Education (Geology, ITB):

• Undergrad: 1994-1998
• Master: 1999-2001
• PhD: 2005-2009

A bit about me

Visiting program

Year: 2009 (1 month)

• Institution: Center for Environmental Remote Sensing, Chiba University (2009)
• Supervisor: Prof. Josaphat T.S. Sumantyo
• Research: remote sensing for hydrological purposes

Year: Feb 2014-Feb 2015

• Institution: Faculty of Agriculture and Environment, University of Sydney
• Supervisor: Dr. Willem Vervoort
• Research: hydrological modeling in R

A bit about me

Research

• hydrogeology
• hydrochemistry
• multivariate [statistical] analysis

A bit about me

Media social

Website: - R and Linux - Writing - SlideShare

Twitter: @dasaptaerwin

Email: d_erwin_irawan[at]yahoo[dot]com

Essential skills for geologist

Software skills (not free version)

• office: Microsoft Office (Word, Excel, ppt) -> annual subscription (from USD 10 per month)
• citation and referencing: EndNote -> from USD 250
• statistical: Minitab, SPSS, Statistica, Stata -> basic version from USD 700 (2012)
  
• spatial / GIS: ArcGIS, Mapinfo, etc -> annual subscription (basic version from USD 100 per year)

Sources:

• Openwetware
• ESRI

Software skills (free equivalent)

• office: OpenOffice or LibreOffice
• citation and referencing: Zotero, Mendeley, etc
• statistical: R and R Studio, Orange Data Mining, PSPP, etc
• GIS: QGIS, GRASSGIS, R **

Why open source?

• free as breathing
• mostly cross-platform (Linux, Mac, Win)
• strong community, hence rapid development
• supporting reproducibility

What is reproducibility in science?

Every step can be:

• re-do
• re-analysed and re-evaluate
• re-developed

What is reproducibility in science?

Those principles are applied to:

• data (items and locations)

• software used in the analyses:

  - each software has distinct feature and algorithm
  - what would happen if not everyone could purchase the software?

End of part one

This slides were made using open-source tools

• Ubuntu Linux (14.04)
• R
• Dia flowcharter
• Gimp image editor