Geological analysis with open-source software:case Cikapundung River

Event: Sarasehan Geologi Populer, Badan Geologi Indonesia

Dasapta Erwin Irawan

13th March 2015

Part one: Introduction

Slide license

Creative commons:

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

A bit about mePersonal data

Name: Dasapta Erwin IrawanJob: Lecturer/researcher at Groundwater Engineering Program, ITBEducation (Geology, ITB):

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

A bit about me

Visiting program

Year: 2009 (1 month)

I Institution: Center for Environmental Remote Sensing, ChibaUniversity (2009)

I Supervisor: Prof. Josaphat T.S. SumantyoI Research: remote sensing for hydrological purposes

Year: Feb 2014-Feb 2015

I Institution: Faculty of Agriculture and Environment, Universityof Sydney

I Supervisor: Dr. Willem VervoortI Research: hydrological modeling in R

A bit about me

Research

I hydrogeologyI hydrochemistryI 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

Skills in Geology

Essential skills for geologist

Software skills (not free version)

I office: Microsoft Office (Word, Excel, ppt) -> annualsubscription (from USD 10 per month)

I citation and referencing: EndNote -> from USD 250I statistical: Minitab, SPSS, Statistica, Stata -> basic version

from USD 700 (2012)I spatial / GIS: ArcGIS, Mapinfo, etc -> annual subscription

(basic version from USD 100 per year)

Sources:

I OpenwetwareI ESRI

Software skills (free equivalent)

I office: OpenOffice or LibreOfficeI citation and referencing: Zotero, Mendeley, etcI statistical: R and R Studio, Orange Data Mining, PSPP, etcI GIS: QGIS, GRASSGIS, R **

Why open source?

I free as breathingI mostly cross-platform (Linux, Mac, Win)I strong community, hence rapid developmentI supporting reproducibility

What is reproducibility in science?

Every step can be:

I re-doI re-analysed and re-evaluateI re-developed

What is reproducibility in science?

Those principles are applied to:

I data (items and locations)I 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

I Ubuntu Linux (14.04)I RI Dia flowcharterI Gimp image editor