wörk wörk

PresTeX/presentation.tex

@@ -88,6 +88,37 @@ compress
 %%%%%%%%%% Content starts here %%%%%%%%%%
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
+\section{Ortsbezogene Spiele}
+\begin{frame}{Ortsbezogene Spiele}
+\framesubtitle{Spass und Datenspuren}
+\begin{itemize}
+	\item Spielhandlungen an realen Orten verankert
+	\item 
+\end{itemize}
+\end{frame}
+
+\section{präzisierte problemstellung}
+\begin{frame}{präzisierte problemstellung}
+\begin{itemize}
+	\item
+\end{itemize}
+\end{frame}
+
+\section{forschungsstand}
+\begin{frame}{forschungsstand}
+\begin{itemize}
+	\item
+\end{itemize}
+\end{frame}
+
+\section{lösungsansatz}
+\begin{frame}{lösungsansatz}
+\begin{itemize}
+	\item
+\end{itemize}
+\end{frame}
+
+
 \section{Logo}
 \begin{frame}{Logo}
 \framesubtitle{In Blau}
@@ -98,25 +129,6 @@ compress
 \image{.25\textwidth}{\meta/config/images/logo.png}{Uni-Logo}{img:logo}
 \end{frame}
 
-\section{Git Version}
-\begin{frame}{Git Version}\framesubtitle{\gitAbbrevHash}
-\begin{itemize}
-\item \#: \gitAbbrevHash
-\item @: \gitAuthorIsoDate
-\item \gitReferences
-\end{itemize}
-\textbf{Setup}\\
-Follow this link to \href{https://www.ctan.org/tex-archive/macros/latex/contrib/gitinfo2}{Gitinfo 2}\\
-\textbf{git hooks}\\
-  To fill watermark at buttom, deploy gitinfo2-hook.txt to githooks: (copy and make executable) or use \texttt{make git}
-  \begin{itemize}
-      \item .git/hooks/post-checkout
-      \item .git/hooks/post-commit
-      \item .git/hooks/post-merge
-  \end{itemize}
-  \textbf{Remove watermark}\\
-  To disable watermark, remove option \texttt{[mark]} from \textbackslash usepackage[mark]\{gitinfo2\} in \textit{config/commands.tex}.
-\end{frame}
 
 
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@@ -131,20 +143,6 @@ Follow this link to \href{https://www.ctan.org/tex-archive/macros/latex/contrib/
  \normalsize
 \end{frame}
 
-%% Last frame
-\frame{
-  \vspace{2cm}
-  {\huge Questions ?}
-
-  \vspace{20mm}
-  \nocite*
-
-  \begin{flushright}
-    Marcel Gro\ss mann
-
-    \structure{\footnotesize{\href{mailto:marcel.grossmann@uni-bamberg.de}{marcel.grossmann@uni-bamberg.de}}}
-  \end{flushright}
-}
 
 
 \end{document}

ThesTeX/content/3-state-of-the-art.tex

@@ -33,7 +33,7 @@
 \item observation and interpretation of pedestrian walking patterns and route decision behaviour
 \end{itemize}
 
-\item Analysis of Tourist Behavior Based on Tracking Data Collected by GPS \cite{tourist_analysis2012} %…
+\item Analysis of Tourist Behavior Based on Tracking Data Collected by GPS \cite{tourist_analysis2012} %12.pdf
 \\\begin{itemize}
 \item 2012
 \item a user-friendly system that integrates the tracking of visitor spatial activity, the elaboration of such data according to structured formats, and their visualization through a webbased viewer
@@ -77,29 +77,29 @@
 
 \section{umgang mit trajektorien}
 \begin{itemize}
-\item Computing with Spatial Trajectories \cite{zheng2011computing}
+\item Computing with Spatial Trajectories \cite{zheng2011computing} %10.1007%2F978-1-4614-1629-6.pdf
 \\\begin{itemize}
 \item 2011
 \item … (collection)
 \end{itemize}
-\item Trajectory Data Mining: An Overview \cite{Zheng_2015}
+\item Trajectory Data Mining: An Overview \cite{Zheng_2015} %TrajectoryDataMining-tist-yuzheng.pdf
 \\\begin{itemize}
 \item 2015
 \item systematic survey on the major research into trajectory data mining
 \item methods that transform trajectories into other data formats, such as graphs, matrices, and tensors
 \end{itemize}
-\item Efficient Motif Discovery in Spatial Trajectories Using Discrete Fréchet Distance \cite{tang_motif}
+\item Efficient Motif Discovery in Spatial Trajectories Using Discrete Fréchet Distance \cite{tang_motif} %/home/clemens/Downloads/Efficient motif discovery in spatial trajectories using discrete.pdf
 \\\begin{itemize}
 \item 2017
 \item The discrete Fréchet distance (DFD) captures perceptual and geographical similarity between discrete trajectories
 \end{itemize}
-\item Mining individual behavior pattern based on significant locations and spatial trajectories \cite{Chen_2012}
+\item Mining individual behavior pattern based on significant locations and spatial trajectories \cite{Chen_2012} %TODO
 \\\begin{itemize}
 \item 2012
 \item BP-Mine framework, which consists of three phases, that is, location extraction, trajectory modeling and behavior pattern mining
 \item Raw WiFi RSS readings and accelerometer sensor data
 \end{itemize}
-\item Machine Learning and Data Mining in Pattern Recognition \cite{pattern_recog}
+\item Machine Learning and Data Mining in Pattern Recognition \cite{pattern_recog} %/home/clemens/Downloads/978-3-642-23199-5.pdf
 \\\begin{itemize}
 \item 2011
 \item … (conference collection)
@@ -114,7 +114,7 @@
 \item 2016
 \end{itemize}
 
-\item Monitoring mixed-language applications with elastic search, logstash and kibana (elk) \cite{andreassen2015monitoring}
+\item Monitoring mixed-language applications with elastic search, logstash and kibana (elk) \cite{andreassen2015monitoring} %/home/clemens/Downloads/wepgf041.pdf
 \begin{itemize}
 \item 2015
 \end{itemize}
@@ -174,28 +174,30 @@
 \item …
 \end{itemize}
 
-\item Identification of activity stop locations in {GPS} trajectories by density-based clustering method combined with support vector machines \cite{Gong_2015}
+\item Identification of activity stop locations in {GPS} trajectories by density-based clustering method combined with support vector machines \cite{Gong_2015} %/home/clemens/Downloads/s40534-015-0079-x.pdf
 \begin{itemize}
 \item 2015
 \item …
 \end{itemize}
 
-\item Deriving Personal Trip Data from {GPS} Data: A Literature Review on the Existing Methodologies \cite{Gong_2014}
+\item Deriving Personal Trip Data from {GPS} Data: A Literature Review on the Existing Methodologies \cite{Gong_2014} %/home/clemens/Downloads/1-s2.0-S1877042814041597-main.pdf
 \begin{itemize}
 \item 2014
 \item …
+\item recommends: /home/clemens/Downloads/ScienceDirect_articles_09Jan2018_09-38-46.323.zip
 \end{itemize}
 
-\item Post-processing Procedures for Passive {GPS} based Travel Survey \cite{Liu_2013}
+\item Post-processing Procedures for Passive {GPS} based Travel Survey \cite{Liu_2013} % /home/clemens/Downloads/1-s2.0-S1877042813021642-main.pdf
 \begin{itemize}
 \item 2013
 \item …
 \end{itemize}
 
-\item Everyday Cycling in Urban Environments: Understanding Behaviors and Constraints in Space-Time \cite{Yeboah_2014}
+\item Everyday Cycling in Urban Environments: Understanding Behaviors and Constraints in Space-Time \cite{Yeboah_2014} % /home/clemens/Downloads/Everyday_cycling_in_urban_environments_U.pdf
 \begin{itemize}
 \item 2014
 \item …
+\item Computational Approaches for Urban Environments /home/clemens/Downloads/978-3-319-11469-9.pdf
 \end{itemize}
 
 \item A Hybrid Spatio-Temporal Data Indexing Method for Trajectory Database \cite{Ke_2014}
@@ -204,31 +206,31 @@
 \item …
 \end{itemize}
 
-\item Why {GPS} makes distances bigger than they are \cite{Ranacher_2015}
+\item Why {GPS} makes distances bigger than they are \cite{Ranacher_2015} %/home/clemens/Downloads/Why GPS makes distances bigger than they are.pdf
 \begin{itemize}
 \item 2015
 \item …
 \end{itemize}
 
-\item Transportation mode-based segmentation and classification of movement trajectories \cite{Biljecki_2013}
+\item Transportation mode-based segmentation and classification of movement trajectories \cite{Biljecki_2013} %/home/clemens/Downloads/Transportation mode based segmentation and classification of movement trajectories.pdf
 \begin{itemize}
 \item 2013
 \item …
 \end{itemize}
 
-\item Children in schoolyards: Tracking movement patterns and physical activity in schoolyards using global positioning system and heart rate monitoring \cite{Fj_rtoft_2009}
+\item Children in schoolyards: Tracking movement patterns and physical activity in schoolyards using global positioning system and heart rate monitoring \cite{Fj_rtoft_2009} %/home/clemens/Downloads/Fjortoftetal.2009.pdf
 \begin{itemize}
 \item 2009
 \item …
 \end{itemize}
 
-\item Places as intersecting flows: Mapping urban morphologies, functional constellations and pedestrian rhythms \cite{pafka2013places}
+\item Places as intersecting flows: Mapping urban morphologies, functional constellations and pedestrian rhythms \cite{pafka2013places} %/home/clemens/Downloads/Places_as_Intersecting_Flows_Mapping_Urb.pdf
 \begin{itemize}
 \item 2013
 \item …
 \end{itemize}
 
-\item GPS, GIS and personal travel surveys: an exercise in visualisation \cite{stopher2002gps}
+\item GPS, GIS and personal travel surveys: an exercise in visualisation \cite{stopher2002gps} %/home/clemens/Downloads/2002_Stopher_Bullock_Jiang.pdf
 \begin{itemize}
 \item 2002
 \item …

ThesTeX/content/literature.bib

@@ -396,3 +396,20 @@ author = "Modsching, Marko and Kramer, Ronny and Hagen, Klaus Ten and Gretzel, U
   year={2007}
 }
 
+@Inbook{Ahlqvist2018,
+author="Ahlqvist, Ola
+and Schlieder, Christoph",
+editor="Ahlqvist, Ola
+and Schlieder, Christoph",
+title="Introducing Geogames and Geoplay: Characterizing an Emerging Research Field",
+bookTitle="Geogames and Geoplay: Game-based Approaches to the Analysis of Geo-Information",
+year="2018",
+publisher="Springer International Publishing",
+address="Cham",
+pages="1--18",
+abstract="Games and play are part of human life, and place, space, and geography take central roles in determining the rules and interactions of games. Consider how integral maps are to the board game RISK, how video game players navigate through a realistic `world' in pursuit of a goal, the millions of Pokemon Go players navigating the real world to find new Pokemon. Even the very abstract maps of Monopoly and Chess are inherently geographical, utilizing basic spatial rules for game play.",
+isbn="978-3-319-22774-0",
+doi="10.1007/978-3-319-22774-0_1",
+url="https://doi.org/10.1007/978-3-319-22774-0_1"
+}
+

ThesTeX/content/outline.tex

@@ -1,5 +1,6 @@
 \chapter{intro}
 \section{einleitung halt}
+TODO \cite{Ahlqvist2018} %TODO
 
 \chapter{problemstellung}
 \section{Auswertung ortsbezogener Spiele}