[GRASS-SVN] r64952 - in grass-promo/grassposter/2015_EGU_G7_PeerReview_SciPlatform: . images

[svn_grass at osgeo.org]

Author: wenzeslaus
Date: 2015-03-30 18:05:28 -0700 (Mon, 30 Mar 2015)
New Revision: 64952

Modified:
   grass-promo/grassposter/2015_EGU_G7_PeerReview_SciPlatform/images/fire.jpg
   grass-promo/grassposter/2015_EGU_G7_PeerReview_SciPlatform/poster.tex
Log:
introduction written by Peter Loewe (shorter version of it)

Modified: grass-promo/grassposter/2015_EGU_G7_PeerReview_SciPlatform/images/fire.jpg
===================================================================
(Binary files differ)

Modified: grass-promo/grassposter/2015_EGU_G7_PeerReview_SciPlatform/poster.tex
===================================================================
--- grass-promo/grassposter/2015_EGU_G7_PeerReview_SciPlatform/poster.tex	2015-03-31 00:24:49 UTC (rev 64951)
+++ grass-promo/grassposter/2015_EGU_G7_PeerReview_SciPlatform/poster.tex	2015-03-31 01:05:28 UTC (rev 64952)
@@ -99,6 +99,14 @@
 \instlist{8}EC-JRC, Italy
 }
 
+\hypersetup
+{
+    pdfauthor={Y. Chemin, V. Petras, A. Petrasova, M. Landa, S. Gebbert, P. Zambelli, M. Neteler, P. Loewe, M. Di Leo},
+    pdfsubject={},
+    pdftitle={GRASS GIS: a peer-reviewed scientific platform and future research repository},
+    pdfkeywords={GIS, algorithms, methods, preservation, science, reproducibility}
+}
+
 % \usetemplate{1}
 % \setinstituteshift{1}
 
@@ -138,20 +146,35 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 \block{\blocktitlewrap{Introduction}}
 {
-Geographical Information Systems (GIS) are known for their capacity 
-to spatially enhance the capacity of management of natural resources. 
-While being often used as an analytical tool, they also represent a collaborative 
-scientific platform to develop new algorithms. GRASS GIS (Neteler et al., 2012 
-\cite{neteler2012grass}), a free and open source GIS, is used by many scientists 
-directly or through other projects such as R or QGIS to perform geoprocessing tasks. 
-Thus, a large number of scientific geospatial computations depend on quality and 
-correct functionality of GRASS GIS. Integrating scientific algorithms into GRASS GIS 
-helps to preserve reproducibility of scientific results over time as the original author 
-designed it (Rocchini \& Neteler, 2012 \cite{rocchini2012let}). Moreover, subsequent 
-improvements are tracked in the source code versioning system and are immediately 
-available to the public (Petras, 2014 \cite{Petras2014}). Thus, GRASS GIS acts as a 
-repository of scientific peer-reviewed code and algorithm/knowledge hub for future 
-generation of scientists.
+\setlength{\parskip}{0.3ex}
+
+Over the last decades, GIS has become a key driver in geospatial science, research and application.
+GIS software which is licensed under a free and open source software (FOSS) licence
+is more than just a mere tool for spatial analysis.
+
+GRASS GIS (Neteler et al., 2012 \cite{neteler2012grass}), a free and open source GIS,
+is used by many scientists directly or as a backend in other projects
+such as R or QGIS to perform geoprocessing tasks.
+
+Thanks to the user and developer community, submitted code is evaluated
+in different fields of application beyond
+the field of expertise of the original authors, and different scales of magnitude
+for the data to be processed.
+This exceeds the established review process for scientific writing in a given journal
+or a data publication in a defined field of science.
+
+Immediate access to software repository enables instant quality checking
+of the current software version both by continuous automated tests (Petras, 2014 \cite{Petras2014}),
+and code review by human experts.
+
+New scientific algorithms can be developed against the reviewed functionalities
+already provided by the GRASS GIS codebase.
+This avoids unnecessary overhead by re-implementation,
+ensures quality by use of trusted components and allows reuse and long term preservation
+within the project software repository:
+Integrating scientific algorithms into GRASS GIS helps to preserve reproducibility
+of scientific results over time as the original author designed it
+(Rocchini \& Neteler, 2012 \cite{rocchini2012let}).
 }
 
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@@ -162,8 +185,9 @@
 in a scale-independent way.
 Ashtekar et al. \cite{ashtekar2014digital} used geomorphons to study soil properties in northwestern South America.
 
+\bigskip
 \begin{minipage}{0.5\linewidth}
-\includegraphics[width=\textwidth]{geomorphon}
+\includegraphics[width=\textwidth, trim={0 0 0 125}, clip]{geomorphon}
 Geomorphons for part of Yakima Training Center (area 5x3~km, USA)
 \end{minipage}
 ~