\begin{itemize}
\item Sensing Human Activity: GPS Tracking \cite{van_der_Spek_2009} %/home/agp8x/Downloads/sensors-09-03033.pdf
\\\begin{itemize}
\item 2009
\item evaluate the sensory qualities that GPS technology offers for researching measures of urban quality
\item value of GPS as a sensor technology in urban studies
\end{itemize}

\item Exploring Patterns of Movement Suspension in Pedestrian Mobility \cite{GEAN:GEAN818} %/home/agp8x/Downloads/Exploring_patterns_of_movement_suspension_in_pedestrian_mobility.pdf
\\\begin{itemize}
\item 2011
\item explore patterns of movement suspension
\item classify the movement vectors and identify the location of movement suspension patterns
\item The results have shown that most of the detected patterns formed spatial clusters located around places that represent some attraction in the context in which the pedestrians were moving. For the players in the urban mobile game, suspension patterns were located at the checkpoints and a-priori known locations of gaming events.
\end{itemize}

\item Using location-based tracking data to analyze the movements of city tourists \cite{Modsching:2008:1098-3058:31} %/home/agp8x/Downloads/fulltext.pdf
\\\begin{itemize}
\item 2008
\item spatial distribution of visitors in various areas is visualized and analyzed
\item distribution of walking speeds, areas of slowdown are identified and subsequently clustered into activity areas
\end{itemize}

\item GPS in Pedestrian and Spatial Behaviour Surveys \cite{nielsen2004gps} %/home/agp8x/Downloads/TSN_HHH_Cities_for_people_2004.pdf
\\\begin{itemize}
\item 2004
\item possibilities in spatial behaviour and pedestrian-surveys with GPS and electronic questionnaires
\end{itemize}

\item Monitoring pedestrian spatio-temporal behaviour \cite{millonig2007monitoring} %/home/agp8x/Downloads/paper03millonig.pdf
\\\begin{itemize}
\item 2007
\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} %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
\item design and validation of this comprehensive methodology, and the early results from a test application
\end{itemize}



\item Spatial Game Analytics \cite{Drachen2013} %/home/agp8x/ownCloud/uni/ma/Neuer Ordner/978-1-4471-4769-5_17.pdf
\\\begin{itemize}
\item 2013
\item Introduction to spatial game analytics and the current state-of-the-art in games development and games research.
\item Advice and ideas on how to get started with spatial analysis of behavioral game telemetry data
\item recommendations:
\begin{verbatim}
Dankoff, J. (2011, September 12). Game telemetry with playtest DNA on assassin’s creed. The engine room. URL: http://engineroom.ubi.com/game-telemetry-with-playtest-dna-on-assassins-creed/
Demers, N. (2008). Fundamentals of geographical information systems. URL: http://www.amazon.com/Fundamentals-Geographical-Information-Systems-Michael/dp/0470129069
Drachen, A., & Canossa, A. (2011). Evaluating motion: Spatial user behaviour in virtual environments. URL: http://andersdrachen.files.wordpress.com/2011/01/05_drachen_ijart.pdf
Hoobler, N., Humphreys, G., & Agrawala, M. (2004). Visualizing competitive behaviors in multiuser virtual environments . URL: http://www.cs.virginia.edu/~gfx/pubs/lithium/
Houghton, S. (2011). Balance and fl ow maps . URL: http://altdevblogaday.com/2011/06/01/balance-and-flow-maps-2/
Kennerly, K. (2003). Better game design through data mining . URL: http://www.gamasutra.com/view/feature/2816/better_game_design_through_data_.php
Pruett, C. (2010). Hot failure: Tuning gameplay with simple player metrics. URL: http://www.gamasutra.com/view/feature/6155/hot_failure_tuning_gameplay_with_.php?print=1
Thompson, C. (2007). Halo 3: How Microsoft labs invented a new science of play. URL: http://www.wired.com/gaming/virtualworlds/magazine/15-09/ff_halo
Zoeller, G. (2011). MMO rapid content iteration. URL: http://gdc.gulbsoft.org/
\end{verbatim}
same book:
\begin{verbatim}
18 Visual Game Analytics ............................................................................ 403
Ben Medler
19 Visual Analytics Tools – A Lens into Player’s
Temporal Progression and Behavior ..................................................... 435
Magy Seif El-Nasr, André Gagné, Dinara Moura, and Bardia Aghabeigi
\end{verbatim}
\item -----
\item beloved, but basic: heatmap
\item spatial contexts in computer games, adapting GIS technology
\end{itemize}

\item GeoGame analytics – A cyber-enabled petri dish for geographic modeling and simulation \cite{AHLQVIST20181} %/home/agp8x/ownCloud/uni/ma/Neuer Ordner/1-s2.0-S0198971517304234-main.pdf
\\\begin{itemize}
\item 2018
\item we present the emerging area of Spatial Game Analytics that provides an uncharted area for data-intensive geospatial scenario analysis
\item Exploratory GeoGame analytics to mine spatial behavior of players, identify how variations in the rules and varying locations affect the simulation outcomes.
\item -----
\item manual process: \textit{In our subsequent analysis we first converted our game database to
ArcMap data in order to link the parcel map with game play attributes.
We then used ArcMap primarily as a visual exploration tool to display
parcels and related data, like yield, parcel use, etc., on those parcels.
We also performed some exploratory data analysis in SPSS where our
focus was to look for correlations between variables in the game.}
\end{itemize}


\end{itemize}



\section{Metriken sammeln}
\begin{itemize}
\item Geogames: Designing Location-Based Games from Classic Board Games\cite{1705427}
\\\begin{itemize}
\item …
\end{itemize}

\item … \cite{heinz2015agent}
\\\begin{itemize}
\item …
\end{itemize}

\item … \cite{schlieder2005geogames}
\\\begin{itemize}
\item …
\end{itemize}

\item locomotion-action %TODO citation Reducing Location Overhead in Educational Geogames
\\\begin{itemize}
\item …
\end{itemize}

\end{itemize}

\section{umgang mit trajektorien}
\begin{itemize}
\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} %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} %/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} %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} %/home/clemens/Downloads/978-3-642-23199-5.pdf
\\\begin{itemize}
\item 2011
\item … (conference collection)
\end{itemize}
\end{itemize}


\section{log processing}
\begin{itemize}
\item Analyse von Logs mit Open-Source-Werkzeugen \cite{steinegger2016analyse}
\begin{itemize}
\item 2016
\end{itemize}

\item Monitoring mixed-language applications with elastic search, logstash and kibana (elk) \cite{andreassen2015monitoring} %/home/clemens/Downloads/wepgf041.pdf
\begin{itemize}
\item 2015
\item show how we can process almost any type of structured or unstructured data source
\end{itemize}

\item Aggregated containerized logging solution with fluentd, elasticsearch and kibana \cite{yang2016aggregated}
\begin{itemize}
\item 2016
\end{itemize}

\item Analysis of logs by using logstash \cite{sanjappa2017analysis}
\begin{itemize}
\item 2017
\end{itemize}

\item Performance monitoring and optimization \cite{matotek2017performance}
\begin{itemize}
\item 2017
\end{itemize}

\item A practical guide to monitoring and alerting with time series at scale \cite{wilkinson2017practical}
\begin{itemize}
\item 2017
\end{itemize}

\end{itemize}



\section{toDO(i)}
\begin{itemize}
\item Using High-Resolution {GPS} Tracking Data of Bird Flight for Meteorological Observations \cite{Treep_2016}
\begin{itemize}
\item 2016
\item …
\end{itemize}

\item Combining {GPS} {\&} survey data improves understanding of visitor behaviour \cite{East_2017}
\begin{itemize}
\item 2017
\item …
\end{itemize}

\item A general framework for collecting and analysing the tracking data of cruise passengers at the destination \cite{Ferrante_2016}
\begin{itemize}
\item 2016
\item …
\end{itemize}

\item Moves app: a digital diary to track physical activity and location \cite{Evenson_2016}
\begin{itemize}
\item 2016
\item …
\end{itemize}

\item Automated Urban Travel Interpretation: A Bottom-up Approach for Trajectory Segmentation \cite{Das_2016}
\begin{itemize}
\item 2016
\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} %/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} %/home/clemens/Downloads/1-s2.0-S1877042814041597-main.pdf
\begin{itemize}
\item 2014
\item …
\item recommends: comparison of travel diaries; extracting activity travel diaries from gps data
\end{itemize}

\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 restore the sequences of data points, both in space and time: trips and activities occurred in the survey time should be identifiable chronologically
\end{itemize}

\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 enhance data availability to understand cycling behaviors
\item data was used together with the area cycling infrastructure data
\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}
\begin{itemize}
\item 2014
\item …
\end{itemize}

\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 measurement error causes a systematic bias in distances recorded with a GPS
\item This error cancels out when average speed, distance or direction is calculated along the trajectory
\end{itemize}

\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 method for segmenting movement data into single-mode segments and for classifying them according to the transportation mode used
\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} %/home/clemens/Downloads/Fjortoftetal.2009.pdf
\begin{itemize}
\item 2009
\item h ow the yard invited physical activity
\item The methods of GPS tracking and HR monitoring seemed to be applicable for this purpose. For further studies with young children the equipment needs adjustments.
\item => gps in small scale places
\end{itemize}

\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 no gps, social concepts
\end{itemize}

\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 produce maps and other visual representations of the travel
\end{itemize}

\item Analyzing pedestrian movement in mataf using gps and gis to support space redesign \cite{koshak2008analyzing}
\begin{itemize}
\item 2008
\item …
\end{itemize}

\end{itemize}