[GRASS-SVN] r64806 - grass-promo/grassposter/2015_EGU_G7_PeerReview_SciPlatform

[svn_grass at osgeo.org]

Author: madi
Date: 2015-03-05 07:50:22 -0800 (Thu, 05 Mar 2015)
New Revision: 64806

Modified:
   grass-promo/grassposter/2015_EGU_G7_PeerReview_SciPlatform/poster.tex
Log:
Some typos fixes

Modified: grass-promo/grassposter/2015_EGU_G7_PeerReview_SciPlatform/poster.tex
===================================================================
--- grass-promo/grassposter/2015_EGU_G7_PeerReview_SciPlatform/poster.tex	2015-03-05 15:30:09 UTC (rev 64805)
+++ grass-promo/grassposter/2015_EGU_G7_PeerReview_SciPlatform/poster.tex	2015-03-05 15:50:22 UTC (rev 64806)
@@ -23,8 +23,10 @@
 % \setthirdcolor{red!80!black}
 
 \title{\bigskip GRASS GIS: a peer-reviewed scientific platform\\ and future research repository\bigskip}
-\author{Yann Chemin$^4$, Vaclav Petráš$^3$, Anna Petrášova$^3$, Martin Landa$^2$, Soeren Gebbert$^5$, 
-\\Pietro Zambelli$^6$, Markus Neteler$^1$, Peter Loewe$^7$, Magherita di Leo$^8$\\ \bigskip
+
+\author{Yann Chemin$^4$, Vaclav Petráš$^3$, Anna Petrášova$^3$, Martin Landa$^2$, Soeren Gebbert$^5$, \\
+Pietro Zambelli$^6$, Markus Neteler$^1$, Peter Loewe$^7$, Margherita Di Leo$^8$\\ 
+\bigskip
 $^1$ CRI, FEM, Italy, $^2$ CTU in Prague, Czech Republic, $^3$ NCSU, USA, $^4$ IWMI, Sri Lanka, 
 $^5$ TICSA, Germany, $^6$ EURAC, Italy, $^7$ GNLST, Germany, $^8$ EC-JRC, Italy}
 
@@ -56,7 +58,7 @@
 \blocknode{Abstract}
 {
 \small \noindent Geographical Information Systems (GIS) is known for its capacity 
-to spatially enhance the capacity of man- agement of natural resources. 
+to spatially enhance the capacity of management of natural resources. 
 While being often used as an analytical tool, it also represents 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 
@@ -86,33 +88,33 @@
 The design architecture was built from original satellite datasets to various levels 
 of processing until reaching the requirement of various ETa models input dataset. 
 Each input product is computed once and reused in all ETa models requiring such input. 
-This permits standardization of 
-inputs as much as possible to zero-in variations of models to the models 
-internals/specificities. All of the ET models are available in the new GRASS GIS 
-version 7 as imagery modules and replicability is complete for future 
+This permits standardization of inputs as much as possible to zero-in variations of 
+models to the models internals/specificities. All of the ET models are available in the 
+new GRASS GIS version 7 as imagery modules and replicability is complete for future 
 research.\vspace{5mm}\newline
 
 A set of modules for multiscale analysis of landscape structure was added in 1992 
-by Baker et al., 1992 \cite{baker1992r}, who developed the r.le model similar to 
+by Baker et al. \cite{baker1992r}, who developed the r.le model similar to 
 FRAGSTATS \cite{mcgarigal1995fragstats}, see manual. The modules were gradually 
-improved to become r.li in 2006. Further development continued, with a significant 
+improved to become \textit{r.li} in 2006. Further development continued, with a significant 
 speed up (Trac1, 2014) and new interactive user interface.\vspace{5mm}\newline
 The module v.surf.rst for spatial interpolation was developed approximately 12 years 
 ago, since then it was improved several times (Trac2, 2014). It is an important part 
 of GRASS GIS and is even taught at geospatial modeling courses, for example 
-http://courses.ncsu.edu/gis582/common/grass/interpolation\_2.html.\vspace{5mm}\newline
+\textit{http://courses.ncsu.edu/gis582/common/grass/interpolation\_2.html}.
+\vspace{5mm}\newline
 
 GRASS GIS entails several modules that constitute the result of active research on 
-natural hazard. The r.sim.water simulation model (Mitas and Mitasova, 1998 \cite{Mitas1998b}) 
+natural hazard. The \textit{r.sim.water} simulation model (Mitas and Mitasova, 1998 \cite{Mitas1998b}) 
 for overland flow under rainfall excess conditions was integrated into the Emergency 
 Routing Decision Planning system as a WPS (Raghavan et al., 2014 \cite{raghavan2014deploying}). 
 It was also modified by Petrasova et al., 2014 \cite{Petrasova2014} and is now part of a 
-specialised software called Tangible Landscape (previously Tangible GIS), which also 
-incorporated the r.damflood module.\vspace{5mm}\newline
+specialised software called \textit{Tangible Landscape} (previously \textit{Tangible GIS}), which also 
+incorporated the \textit{r.damflood} module.\vspace{5mm}\newline
 
 The wildfire simulation toolset, firstly developed by Xu, 1994 \cite{xu1994simulating}, 
 implementing Rothermel’s model \cite{Rothermel1983how}, available through the GRASS 
-functions r.ros and r.spread, is object of active research. It has been extensively 
+functions \textit{r.ros} and \textit{r.spread}, is object of active research. It has been extensively 
 tested and recently adapted to European fuel types (Rodriguez-Aseretto et al.,
 2013 \cite{rodriguez2013data} ; de Rigo et al., 2013 \cite{derigo2013architecture} ; 
 Di Leo et al., 2013 \cite{2013_DiLeo_etAl}).