From c60f890e4e9e7ef7ec79175c32088493ca0c6c2f Mon Sep 17 00:00:00 2001 From: Clemens Klug Date: Tue, 16 Jan 2018 07:45:51 +0100 Subject: [PATCH] =?UTF-8?q?w=C3=B6rk=20w=C3=B6rk?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- ThesTeX/content/2-state-of-the-art.tex | 49 ++++++++++++++++++++------ ThesTeX/content/literature.bib | 29 +++++++++++++++ 2 files changed, 67 insertions(+), 11 deletions(-) diff --git a/ThesTeX/content/2-state-of-the-art.tex b/ThesTeX/content/2-state-of-the-art.tex index 0476b97..980934b 100644 --- a/ThesTeX/content/2-state-of-the-art.tex +++ b/ThesTeX/content/2-state-of-the-art.tex @@ -40,10 +40,32 @@ \item design and validation of this comprehensive methodology, and the early results from a test application \end{itemize} -\item … %… + + +\item Spatial Game Analytics \cite{Drachen2013} %/home/agp8x/ownCloud/uni/ma/Neuer Ordner/978-1-4471-4769-5_17.pdf \\\begin{itemize} -\item … -\item … +\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} +\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. \end{itemize} @@ -117,6 +139,7 @@ \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} @@ -184,19 +207,20 @@ \begin{itemize} \item 2014 \item … -\item recommends: $/home/clemens/Downloads/ScienceDirect_articles_09Jan2018_09-38-46.323.zip$ +\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 … +\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 … +\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} @@ -209,31 +233,34 @@ \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 … +\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 … +\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 … +\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 … +\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 … +\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} diff --git a/ThesTeX/content/literature.bib b/ThesTeX/content/literature.bib index 3053693..847a534 100644 --- a/ThesTeX/content/literature.bib +++ b/ThesTeX/content/literature.bib @@ -419,3 +419,32 @@ 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" } +@Inbook{Drachen2013, +author="Drachen, Anders +and Schubert, Matthias", +editor="Seif El-Nasr, Magy +and Drachen, Anders +and Canossa, Alessandro", +title="Spatial Game Analytics", +bookTitle="Game Analytics: Maximizing the Value of Player Data", +year="2013", +publisher="Springer London", +address="London", +pages="365--402", +abstract="Perhaps the most beloved visualization of player behavior is the heatmap, which offers clear and intuitive feedback about the spatial behavior of players. Heatmaps are, however, only the tip of a very deep iceberg of the area -- we here will refer to as spatial game analytics -- and it has a lot more to offer than heatmaps, not the least a strong explanatory power for deciphering and understanding player behavior. Here we take a plunge into these deep waters, exploring what is already being done and what can be done within this area and to a lesser degree visualization -- which is further explored in the following chapters ( Chaps. 18 and 19 ).", +isbn="978-1-4471-4769-5", +doi="10.1007/978-1-4471-4769-5_17", +url="https://doi.org/10.1007/978-1-4471-4769-5_17" +} +@article{AHLQVIST20181, +title = "GeoGame analytics – A cyber-enabled petri dish for geographic modeling and simulation", +journal = "Computers, Environment and Urban Systems", +volume = "67", +pages = "1 - 8", +year = "2018", +issn = "0198-9715", +doi = "https://doi.org/10.1016/j.compenvurbsys.2017.08.013", +url = "http://www.sciencedirect.com/science/article/pii/S0198971517304234", +author = "Ola Ahlqvist and Nayan Khodke and Rajiv Ramnath", +keywords = "Games, Agent based models, Simulations, Analytics" +}