[GRASS-SVN] r70650 - in grass-promo/grassposter/2017_NCGIS_How_innovations_thrive: . images
svn_grass at osgeo.org
svn_grass at osgeo.org
Mon Feb 20 16:16:45 PST 2017
Author: wenzeslaus
Date: 2017-02-20 16:16:45 -0800 (Mon, 20 Feb 2017)
New Revision: 70650
Modified:
grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/images/damflood_tangible.jpg
grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/poster.tex
Log:
rearrange, add background
Modified: grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/images/damflood_tangible.jpg
===================================================================
(Binary files differ)
Modified: grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/poster.tex
===================================================================
--- grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/poster.tex 2017-02-20 19:44:54 UTC (rev 70649)
+++ grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/poster.tex 2017-02-21 00:16:45 UTC (rev 70650)
@@ -19,10 +19,19 @@
%% TODO: all names should be abbreviated
\usepackage{natbib}
+
+\definecolor{textcolor}{HTML}{000000}
+
\definecolor{titleTextColor}{HTML}{009000}
\definecolorpalette{grassColorPalette} {
\definecolor{colorOne}{HTML}{419041}
+ % \definecolor{colorTwo}{HTML}{cccccc}
+ \definecolor{colorTwo}{HTML}{dddddd}
+ \definecolor{colorThree}{HTML}{F1B52D}
+ % \definecolor{colorThree}{HTML}{EFA126}
}
+
+\usetheme{Rays}
\usecolorstyle[colorPalette=grassColorPalette]{Britain}
\title{
@@ -149,8 +158,9 @@
% \setlength{\parskip}{0.3ex}
\renewcommand{\labelitemi}{\textcolor{gray}{$\bullet$}\hspace{0.5ex}}
+\newcommand{\blocksectiontitle}[1]{\bigskip\textbf{\textcolor{gray}{\textsf{#1}}}}
-Poster topic highlights:
+\blocksectiontitle{Poster topic highlights}
\begin{itemize}
\item Algorithms and models included in GRASS GIS remain available long term \citep{chemin2015grass}.
@@ -164,7 +174,7 @@
% continuous automated tests (Petras, 2014 \cite{Petras2014}),
\end{itemize}
-General GRASS GIS highlights:
+\blocksectiontitle{General GRASS GIS highlights}
\begin{itemize}
% \item Community supports users and new developments through online
@@ -186,69 +196,144 @@
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-\block{\blocktitlewrap{Spatio-Temporal Data Analysis}}{
-The time dimension was introduced in GRASS GIS version 7 for vector maps, rasters, and 3D rasters
-which transformed GRASS GIS into a fully-featured temporal GIS \citep{Gebbert20141, gebbert2015grass}.
-Time series of map layers are managed in space time datasets, a new data type in GRASS GIS,
-and are still accessible also as individual map layers.
-Based on the GRASS GIS Temporal Framework Python application programming interface (API),
-more than 50 modules were implemented to manage, analyze, process
-and visualize space time datasets.
-More than 100,000 map layers can be now handled efficiently in GRASS GIS.
-Example usages of this functionality include
-analysis of the
-European Climate Assessment \& Dataset ECA\&D \citep{Haylock2008_climate_series}
-and temperate climate zone in the European Union identification \citep{Gebbert20141}.
+\block{\blocktitlewrap{Lidar Data Processing}}{
-The new temporal modules (staring with \gmodulenolink{t.})
-work beside well established \gmodule{r.series} module
-and specialized modules such as \gamodule{r.hants} implemented according to \cite{roerink2000reconstructing}
-or \gamodule{r.seasons}.
-Latest addition includes raster and vector temporal algebra
-which can be used for tasks such as computing hydrothermal coefficient for a time series of climate data
-using the actual mathematical formula \citep{leppelt2015grass}.
+Filtering of ground and non-ground points was included into GRASS GIS
+early on in the lidar era in the \gmodule{v.lidar.edgedetection} group of modules.
+% TODO: ref
+% v.lidar.correction Corrects the v.lidar.growing output. It is the last of the three algorithms for LIDAR .
+% v.lidar.edgedetection Detects the object's edges from a LIDAR data set.
+% v.lidar.growing Building contour determination and Region Growing algorithm for determining the building inside
+The module \gmodule{v.surf.rst} for spatial interpolation was developed approximately 20 years
+ago, but since then it has been improved several times \cite{tracvsurfrst}
+including recent parallelization which will be included in GRASS GIS 7.4.
+Currently the module is used for both digital terrain model interpolation and interpolations in general.
-\vspace*{1cm}
+The module \gmodule{r.in.lidar} statistically analyzes massive point clouds.
+% TODO: base_raster, ref
+For advanced general point analysis GRASS GIS
+\gmodule{v.outlier} implemented originally specifically for lidar data
+and recently also \gmodule{v.cluster}
+implementing variety of clustering methods including
+DBSCAN (Density-Based Spatial Clustering of Applications with Noise)
+and OPTICS (Ordering Points to Identify the Clustering Structure).
+The \gmodule{v.outlier} module serves as a base for a user contributed module \gamodule{v.lidar.mcc}
+implementing MMC.
+% TODO: ref
-\begin{minipage}{\linewidth}
+% v.delaunay v.voronoi New option to create Voronoi diagrams for areas.
+
\centering
-\includegraphics[width=.7\linewidth]{images/temporal_precip_temp}
-\\
-Creating a synchronized animation of monthly total precipitation and mean temperature for NC, USA
+\begin{minipage}{0.48\linewidth}
+\centering
+\includegraphics[width=0.7\textwidth]{elevation_lidar}
\end{minipage}
+~
+\begin{minipage}{0.48\linewidth}
+\centering
+\includegraphics[width=\textwidth]{lidar_profile}
+\end{minipage}
-% \vspace*{1cm}
+\bigskip
+\begin{minipage}{0.48\linewidth}
+\centering
+Digital elevation model interpolated from LiDAR point clouds
+using \gmodule{v.surf.rst}. Data are showing tillage in an agricultural field near Raleigh (North Carolina, USA)
+\end{minipage}
+~
+\begin{minipage}{0.48\linewidth}
+\centering
+Profile (vertical slice) of a small portion of a point cloud showing tree structure as captured by the returns
+\end{minipage}
+
}
-\block{\blocktitlewrap{Landscape Structure}}{
-A set of modules for multiscale analysis of landscape structure was added in 1992
-by \cite{baker1992r}, who developed the \gmodulenolink{r.le} model similar to
-FRAGSTATS \citep{mcgarigal1995fragstats}.
-The modules were gradually improved to become \gmodule{r.li} in 2006.
-Further development continued, with a significant
-increase in speed \citep{tracrli} and a new interactive user interface.
-\cite{rocchini2013calculating} used \gmodule{r.li} modules to implement
-high level tool for calculating landscape diversity.
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+\block{\blocktitlewrap{Acknowledgements}}{
+\newcommand{\listhspace}{\hspace{0.005\linewidth}}
+\newcommand{\listlogowidth}{0.10\linewidth}
+\newcommand{\listtextwidth}{0.82\linewidth}
+
+\begin{minipage}{\listlogowidth}
+\centering
+\includegraphics[width=0.5\linewidth]{grass}
+\end{minipage}
+\listhspace
+\begin{minipage}{\listtextwidth}
+We acknowledge all members of the GRASS GIS community both users and developers.
+Specifically we
+\end{minipage}
+
\bigskip
-\begin{minipage}{0.5\linewidth}
-\includegraphics[width=\textwidth, trim={0 180 0 0}, clip]{diversity_classes}
+\begin{minipage}{\listlogowidth}
+\includegraphics[width=\linewidth]{osgeo}
\end{minipage}
-\begin{minipage}{0.5\linewidth}
-\includegraphics[width=\textwidth, trim={0 180 0 0}, clip]{diversity_shannon}
+\listhspace
+\begin{minipage}{\listtextwidth}
+Open Source Geospatial Foundation (OSGeo)
+supports the collaborative development of open source geospatial software.
+GRASS GIS is a OSGeo project.
+OSGeo provides infrastructure for project
+websites, mailing lists and source code management.
\end{minipage}
-\medskip
-Landuse classes and derived landscape diversity according to Shannon index in near Charlotte (NC, USA)
-% r.diversity input=development_2006 prefix=diversity alpha=0.5 size=65
-% r.li.shannon input="development_2006" config="conf_diversity_65.0" output="diversity_shannon_size_65.0"
+\bigskip
+
+\begin{minipage}{\listlogowidth}
+\includegraphics[width=\linewidth]{google}
+\end{minipage}
+\listhspace
+\begin{minipage}{\listtextwidth}
+Initial development of \gmodule{i.segement} module as well as several other developments
+were done as a part of the Google Summer of Code project.
+Google provides financial support to students and organizations participating in the Google Summer of Code project.
+\end{minipage}
+
+\vspace{0.2cm}
+
+\textcolor{gray}{
+\hrulefill
}
+\vspace{0.1cm}
+\newcommand{\qrcodesize}{0.05\linewidth}
+% qrencode http://grass.osgeo.org -o qr_grass.eps -t EPS
+% epspdf -b qr_grass.eps qr_grass.pdf
+
+\begin{center}
+\begin{tabular}{c}
+
+% \hspace{5mm}
+
+\begin{minipage}{\qrcodesize}
+\includegraphics[width=\textwidth]{./images/qr_grass.pdf}
+\end{minipage}
+~
+\begin{minipage}{0.15\linewidth}
+\small {\href{http://grass.osgeo.org}{\nolinkurl{grass.osgeo.org}}}
+\end{minipage}
+
+\begin{minipage}{0.1\linewidth}
+\href{http://creativecommons.org/licenses/by-sa/4.0/}{\includegraphics[width=\textwidth]{ccbysa}}
+\end{minipage}
+~
+\begin{minipage}{0.35\linewidth}
+\small This poster is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
+\end{minipage}
+
+\end{tabular}
+\end{center}
+
+\vspace{-0.08cm}
+}
+
+
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@@ -261,7 +346,7 @@
\block{\blocktitlewrap{Water, Floods and Erosion}}{
GRASS GIS entails several modules that constitute the result of active research on natural hazards.
-The \gmodule{r.sim.water} simulation model (Mitas and Mitasova, 1998 \cite{Mitas1998b})
+The \gmodule{r.sim.water} simulation model \citep{Mitas1998b}.
for overland flow with spatially variable rainfall excess conditions was integrated into the Emergency
Routing Decision Planning system as a WPS (Raghavan et al., 2014 \cite{raghavan2014deploying}).
The module \gmodule{r.sim.water} together with
@@ -271,91 +356,44 @@
was implemented in \gmodule{r.watershed} module in 1989
and it was updated for massive data sets in 2011.
% TODO: refs
-The \gmodule{r.sim.water} module was also utilized by Petrasova et al., 2014 \cite{Petrasova2014} and is now part of
+The \gmodule{r.sim.water} module was also utilized by \cite{Petrasova2014} and is now part of
\emph{Tangible Landscape}, a tangible GIS system, which also incorporated \gmodule{r.damflood},
-a dam break inundation simulation \cite{cannata2012two}.
+a dam break inundation simulation \citep{cannata2012two}.
\bigskip
\vspace*{1cm}
\centering
-\begin{minipage}{0.65\linewidth}
-\centering
-\includegraphics[width=0.5\textwidth]{rsimwater_architects}
-\\
-Overland flow simulated by \gmodule{r.sim.water} used for landscape
-architecture design in Tangible Landscape environment
-(Historical master plan for Lake Raleigh, NC, USA)
-\end{minipage}
-~
-\begin{minipage}{0.5\linewidth}
-% TODO: damflood on Lake Raleigh
-% \includegraphics[width=\textwidth]{damflood_tangible}
-% Coal ash pond breach in Tangible Landscape environment using \gamodule{r.damflood} module
-\end{minipage}
-% \vspace*{1.4cm}
-}
-
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-\block{\blocktitlewrap{Lidar Data Processing}}{
-
-Filtering of ground and non-ground points was included into GRASS GIS
-early on in the lidar era in the \gmodule{v.lidar.edgedetection} group of modules.
-% TODO: ref
-% v.lidar.correction Corrects the v.lidar.growing output. It is the last of the three algorithms for LIDAR .
-% v.lidar.edgedetection Detects the object's edges from a LIDAR data set.
-% v.lidar.growing Building contour determination and Region Growing algorithm for determining the building inside
-The module \gmodule{v.surf.rst} for spatial interpolation was developed approximately 20 years
-ago, but since then it has been improved several times \cite{tracvsurfrst}
-including recent parallelization which will be included in GRASS GIS 7.4.
-Currently the module is used for both digital terrain model interpolation and interpolations in general.
-
-The module \gmodule{r.in.lidar} statistically analyzes massive point clouds.
-% TODO: base_raster, ref
-For advanced general point analysis GRASS GIS
-\gmodule{v.outlier} implemented originally specifically for lidar data
-and recently also \gmodule{v.cluster}
-implementing variety of clustering methods including
-DBSCAN (Density-Based Spatial Clustering of Applications with Noise)
-and OPTICS (Ordering Points to Identify the Clustering Structure).
-The \gmodule{v.outlier} module serves as a base for a user contributed module \gamodule{v.lidar.mcc}
-implementing MMC.
-% TODO: ref
-
-% v.delaunay v.voronoi New option to create Voronoi diagrams for areas.
-
+\begin{minipage}{0.49\linewidth}
\centering
-\begin{minipage}{0.48\linewidth}
-\centering
-\includegraphics[width=0.7\textwidth]{elevation_lidar}
+\includegraphics[width=0.7\textwidth]{rsimwater_architects}
\end{minipage}
~
-\begin{minipage}{0.48\linewidth}
-\centering
-\includegraphics[width=\textwidth]{lidar_profile}
+\begin{minipage}{0.49\linewidth}
+\includegraphics[width=\textwidth]{damflood_tangible}
\end{minipage}
\bigskip
-\begin{minipage}{0.48\linewidth}
+\begin{minipage}{0.49\linewidth}
\centering
-Digital elevation model interpolated from LiDAR point clouds
-using \gmodule{v.surf.rst}. Data are showing tillage in an agricultural field near Raleigh (North Carolina, USA)
+Overland flow simulated by \gmodule{r.sim.water} used for landscape
+architecture design in Tangible Landscape environment
+(Historical master plan for Lake Raleigh, NC, USA)
\end{minipage}
~
-\begin{minipage}{0.48\linewidth}
-\centering
-Profile (vertical slice) of a small portion of a point cloud showing tree structure as captured by the returns
+\begin{minipage}{0.49\linewidth}
+Dam breach on Lake Raleigh (NC, USA) in Tangible Landscape environment simulated using \gamodule{r.damflood} module
\end{minipage}
+
+% \vspace*{1.4cm}
}
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-\column{0.25}
+
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\block{\blocktitlewrap{Image Segmentations}}{
\gamodule{r.smooth.seg} (formerly \gmodulenolink{r.seg})
@@ -363,6 +401,7 @@
and implemented a piece-wise smooth approximation of the original image
according to \cite{mumford1989optimal} and \cite{march1997variational}
which can be used to reduce noise in the original image.
+
This supplemented \gmodule{r.clump} available from 1980s
which groups pixes with same categories (or integer values).
The latest version of \gmodule{r.clump} coming in GRASS GIS 7.4
@@ -378,15 +417,8 @@
Another module called \gamodule{i.segment.hierarchical} by Pietro Zambelli is based on \gmodule{i.segment}
and performs parallelized hierarchical segmentation.
-In 2016 GRASS GIS implementation of SLIC Superpixels segmentation \citep{achanta2010epfl, achanta2012slic}
-was requested by the community
-and Rashad Kanavath and Markus Metz implemented \gmodule{i.superpixels.slic}
-which provides users both with SLIC and SLIC0 methods.
+\vspace*{0.7cm}
-\bigskip
-
-\vspace*{1cm}
-
\begin{minipage}{0.5\linewidth}
\begin{center}
\includegraphics[width=\textwidth]{superpixels_slic_pseudo}
@@ -404,11 +436,21 @@
and same superpixels colored according to a mean NDVI value per pixel (right).
\end{center}
-\vspace*{0.6cm}
+\vspace*{1cm}
+In 2016 GRASS GIS implementation of SLIC Superpixels segmentation \citep{achanta2010epfl, achanta2012slic}
+was requested by the community
+and Rashad Kanavath and Markus Metz implemented \gmodule{i.superpixels.slic}
+which provides users both with SLIC and SLIC0 methods.
+
+
}
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+\column{0.25}
+
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\block{\blocktitlewrap{Topology, Cleaning, Overlays, Attributes}}{
Besides basic vector analysis tools such as \gmodule{v.buffer}
@@ -422,25 +464,9 @@
For that release all topological cleaning tools have been optimized
with regard to processing speed, robustness, and system requirements.
-% + vector algebra
-An experimental module \gamodule{v.feature.algebra} (formerly \gmodulenolink{v.mapcalc}) from 2002
-% actually, the original by Radim Blazek (Jun 11, 2002) seems to be more similar to the current v.mapcalc
-% it was using Vect_overlay_str_to_operator Vect_overlay
-% it was replaced by code by Christoph Simon in Aug 7, 2002
-was replaced by Python for GRASS GIS C libraries (PyGRASS) in GRASS GIS 7.0.
-However, new \gamodule{v.mapcalc} module is available with richer syntax and functionality.
+\vspace*{1cm}
-Attribute processing and queries in GRASS GIS can take an advantage of latest developments
-in database management systems (DBMSs) as several DBMSs are supported most notably SQLite and PostgreSQL.
-A PostGIS database can be connected including it geometry and topology.
-In parallel to that native support the OGC Simple Features is available.
-
-The GRASS GIS 7 releases come with faster vector processing backend
-and more efficient internal vector format;
-both disk and memory requirements were reduced.
-The new spatial index performs queries faster (more than 10 times for large vectors compared to GRASS GIS 6).
-
-\centering
+\begin{center}
\begin{minipage}{0.9\linewidth}
\begin{center}
\includegraphics[width=.3\textwidth]{topo_original}
@@ -453,6 +479,7 @@
automatically topologically corrected vector (right)
\end{center}
\end{minipage}
+\end{center}
% v.in.ascii input= output=imported format=standard
% v.build -e map=imported error=build_errors
@@ -461,12 +488,71 @@
% d.vect map=cleaning_errors color=255:33:36 fill_color=none width=5 icon=basic/point size=30
% d.vect map=imported color=56:16:108 fill_color=205:64:113 width=5
+\vspace*{1cm}
+
+An experimental module \gamodule{v.feature.algebra} (formerly \gmodulenolink{v.mapcalc}) from 2002
+% actually, the original by Radim Blazek (Jun 11, 2002) seems to be more similar to the current v.mapcalc
+% it was using Vect_overlay_str_to_operator Vect_overlay
+% it was replaced by code by Christoph Simon in Aug 7, 2002
+was replaced by Python for GRASS GIS C libraries (PyGRASS) in GRASS GIS 7.0.
+However, new \gamodule{v.mapcalc} module is available with richer syntax and functionality.
+
+Attribute processing and queries in GRASS GIS can take an advantage of latest developments
+in database management systems (DBMSs) as several DBMSs are supported most notably SQLite and PostgreSQL.
+A PostGIS database can be connected including it geometry and topology.
+In parallel to that native support the OGC Simple Features is available.
+
+The GRASS GIS 7 releases come with faster vector processing backend
+and more efficient internal vector format;
+both disk and memory requirements were reduced.
+The new spatial index performs queries faster (more than 10 times for large vectors compared to GRASS GIS 6).
+
}
+
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+\block{\blocktitlewrap{Spatio-Temporal Data Analysis}}{
+The time dimension was introduced in GRASS GIS version 7 for vector maps, rasters, and 3D rasters
+which transformed GRASS GIS into a fully-featured temporal GIS \citep{Gebbert20141, gebbert2015grass}.
+Time series of map layers are managed in space time datasets, a new data type in GRASS GIS,
+and are still accessible also as individual map layers.
+Based on the GRASS GIS Temporal Framework Python application programming interface (API),
+more than 50 modules were implemented to manage, analyze, process
+and visualize space time datasets.
+More than 100,000 map layers can be now handled efficiently in GRASS GIS.
+%
+Example usages of this functionality include
+analysis of the
+European Climate Assessment \& Dataset ECA\&D \citep{Haylock2008_climate_series}
+and temperate climate zone in the European Union identification \citep{Gebbert20141}.
+
+The new temporal modules (staring with \gmodulenolink{t.})
+work beside well established \gmodule{r.series} module
+and specialized modules such as \gamodule{r.hants} implemented according to \cite{roerink2000reconstructing}
+or \gamodule{r.seasons}.
+Latest addition includes raster and vector temporal algebra
+which can be used for tasks such as computing hydrothermal coefficient for a time series of climate data
+using the actual mathematical formula \citep{leppelt2015grass}.
+
+\vspace*{1.5cm}
+
+\begin{minipage}{\linewidth}
+\centering
+\includegraphics[width=.7\linewidth]{images/temporal_precip_temp}
+\\
+Creating a synchronized animation of monthly total precipitation and mean temperature for NC, USA
+\end{minipage}
+
+\vspace*{1cm}
+
+}
+
+
+
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\column{0.25}
@@ -479,6 +565,7 @@
including for example, centrality measures and connected components added in 2009 by Daniel Bundala.
In 2014 Stepan Turek implemented turns support into all relevant vector network modules.
Also since GRASS GIS 7.0 all vector network analysis tools provide fine control over node costs.
+% combination with r.cost/r.walk workflows \citep{Petrasova2014}
\bigskip
@@ -493,6 +580,34 @@
}
+\block{\blocktitlewrap{Landscape Structure}}{
+A set of modules for multiscale analysis of landscape structure was added in 1992
+by \cite{baker1992r}, who developed the \gmodulenolink{r.le} model similar to
+FRAGSTATS \citep{mcgarigal1995fragstats}.
+The modules were gradually improved to become \gmodule{r.li} in 2006.
+Further development continued, with a significant
+increase in speed \citep{tracrli} and a new interactive user interface.
+\cite{rocchini2013calculating} used \gmodule{r.li} modules to implement
+high level tool for calculating landscape diversity.
+
+\vspace*{0.5cm}
+
+\begin{minipage}{0.5\linewidth}
+\includegraphics[width=\textwidth, trim={0 180 0 0}, clip]{diversity_classes}
+\end{minipage}
+\begin{minipage}{0.5\linewidth}
+\includegraphics[width=\textwidth, trim={0 180 0 0}, clip]{diversity_shannon}
+\end{minipage}
+
+\vspace*{1ex}
+
+Landuse classes and derived landscape diversity according to Shannon index in near Charlotte (NC, USA)
+% r.diversity input=development_2006 prefix=diversity alpha=0.5 size=65
+% r.li.shannon input="development_2006" config="conf_diversity_65.0" output="diversity_shannon_size_65.0"
+}
+
+
+
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\block{\blocktitlewrap{References}}{
@@ -512,79 +627,7 @@
}
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-\block{\blocktitlewrap{Acknowledgements}}{
-\newcommand{\listhspace}{\hspace{0.005\linewidth}}
-\newcommand{\listlogowidth}{0.10\linewidth}
-\newcommand{\listtextwidth}{0.82\linewidth}
-
-\begin{minipage}{\listlogowidth}
-\includegraphics[width=\linewidth]{osgeo}
-\end{minipage}
-\listhspace
-\begin{minipage}{\listtextwidth}
-Open Source Geospatial Foundation (OSGeo)
-supports the collaborative development of open source geospatial software.
-GRASS GIS is a OSGeo project.
-OSGeo provides infrastructure for project
-websites, mailing lists and source code management.
-\end{minipage}
-
-\bigskip
-
-\begin{minipage}{\listlogowidth}
-\includegraphics[width=\linewidth]{google}
-\end{minipage}
-\listhspace
-\begin{minipage}{\listtextwidth}
-Initial development of \gmodule{i.segement} module as well as several other developments
-were done as a part of the Google Summer of Code project.
-Google provides financial support to students and organizations participating in the Google Summer of Code project.
-\end{minipage}
-
-\bigskip
-
-\vspace{0.2cm}
-
-\textcolor{gray}{
-\hrulefill
-}
-
-\vspace{0.1cm}
-
-\newcommand{\qrcodesize}{0.05\linewidth}
-
-% qrencode http://grass.osgeo.org -o qr_grass.eps -t EPS
-% epspdf -b qr_grass.eps qr_grass.pdf
-
-\begin{center}
-\begin{tabular}{c}
-
-% \hspace{5mm}
-
-\begin{minipage}{\qrcodesize}
-\includegraphics[width=\textwidth]{./images/qr_grass.pdf}
-\end{minipage}
-~
-\begin{minipage}{0.15\linewidth}
-\small {\href{http://grass.osgeo.org}{\nolinkurl{grass.osgeo.org}}}
-\end{minipage}
-
-\begin{minipage}{0.1\linewidth}
-\href{http://creativecommons.org/licenses/by-sa/4.0/}{\includegraphics[width=\textwidth]{ccbysa}}
-\end{minipage}
-~
-\begin{minipage}{0.35\linewidth}
-\small This poster is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
-\end{minipage}
-
-\end{tabular}
-\end{center}
-
-\vspace{-0.08cm}
-}
-
\end{columns}
\end{document}
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