wörk wörk
Clemens Klug
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\item design and validation of this comprehensive methodology, and the early results from a test application
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\end{itemize}
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\item … %…
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\item Spatial Game Analytics \cite{Drachen2013} %/home/agp8x/ownCloud/uni/ma/Neuer Ordner/978-1-4471-4769-5_17.pdf
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\\\begin{itemize}
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\item …
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\item …
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\item 2013
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\item Introduction to spatial game analytics and the current state-of-the-art in games development and games research.
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\item Advice and ideas on how to get started with spatial analysis of behavioral game telemetry data
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\item recommendations:
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\begin{verbatim}
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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/
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Demers, N. (2008). Fundamentals of geographical information systems. URL: http://www.amazon.com/Fundamentals-Geographical-Information-Systems-Michael/dp/0470129069
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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
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Hoobler, N., Humphreys, G., & Agrawala, M. (2004). Visualizing competitive behaviors in multiuser virtual environments . URL: http://www.cs.virginia.edu/~gfx/pubs/lithium/
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Houghton, S. (2011). Balance and fl ow maps . URL: http://altdevblogaday.com/2011/06/01/balance-and-flow-maps-2/
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Kennerly, K. (2003). Better game design through data mining . URL: http://www.gamasutra.com/view/feature/2816/better_game_design_through_data_.php
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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
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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
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Zoeller, G. (2011). MMO rapid content iteration. URL: http://gdc.gulbsoft.org/
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\end{verbatim}
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\end{itemize}
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\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
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\\\begin{itemize}
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\item 2018
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\item we present the emerging area of Spatial Game Analytics that provides an uncharted area for data-intensive geospatial scenario analysis
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\item Exploratory GeoGame analytics to mine spatial behavior of players, identify how variations in the rules and varying locations affect the simulation outcomes.
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\end{itemize}
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@ -117,6 +139,7 @@
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\item Monitoring mixed-language applications with elastic search, logstash and kibana (elk) \cite{andreassen2015monitoring} %/home/clemens/Downloads/wepgf041.pdf
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\begin{itemize}
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\item 2015
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\item show how we can process almost any type of structured or unstructured data source
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\end{itemize}
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\item Aggregated containerized logging solution with fluentd, elasticsearch and kibana \cite{yang2016aggregated}
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@ -184,19 +207,20 @@
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\begin{itemize}
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\item 2014
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\item …
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\item recommends: $/home/clemens/Downloads/ScienceDirect_articles_09Jan2018_09-38-46.323.zip$
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\item recommends: comparison of travel diaries; extracting activity travel diaries from gps data
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\end{itemize}
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\item Post-processing Procedures for Passive {GPS} based Travel Survey \cite{Liu_2013} % /home/clemens/Downloads/1-s2.0-S1877042813021642-main.pdf
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\begin{itemize}
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\item 2013
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\item …
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\item restore the sequences of data points, both in space and time: trips and activities occurred in the survey time should be identifiable chronologically
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\end{itemize}
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\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
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\begin{itemize}
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\item 2014
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\item …
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\item enhance data availability to understand cycling behaviors
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\item data was used together with the area cycling infrastructure data
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\item Computational Approaches for Urban Environments /home/clemens/Downloads/978-3-319-11469-9.pdf
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\end{itemize}
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@ -209,31 +233,34 @@
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\item Why {GPS} makes distances bigger than they are \cite{Ranacher_2015} %/home/clemens/Downloads/Why GPS makes distances bigger than they are.pdf
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\begin{itemize}
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\item 2015
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\item …
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\item measurement error causes a systematic bias in distances recorded with a GPS
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\item This error cancels out when average speed, distance or direction is calculated along the trajectory
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\end{itemize}
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\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
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\begin{itemize}
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\item 2013
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\item …
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\item method for segmenting movement data into single-mode segments and for classifying them according to the transportation mode used
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\end{itemize}
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\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
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\begin{itemize}
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\item 2009
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\item …
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\item h ow the yard invited physical activity
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\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.
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\item => gps in small scale places
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\end{itemize}
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\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
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\begin{itemize}
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\item 2013
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\item …
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\item no gps, social concepts
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\end{itemize}
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\item GPS, GIS and personal travel surveys: an exercise in visualisation \cite{stopher2002gps} %/home/clemens/Downloads/2002_Stopher_Bullock_Jiang.pdf
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\begin{itemize}
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\item 2002
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\item …
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\item produce maps and other visual representations of the travel
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\end{itemize}
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\item Analyzing pedestrian movement in mataf using gps and gis to support space redesign \cite{koshak2008analyzing}
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@ -419,3 +419,32 @@ isbn="978-3-319-22774-0",
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doi="10.1007/978-3-319-22774-0\_1",
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url="https://doi.org/10.1007/978-3-319-22774-0\_1"
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}
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@Inbook{Drachen2013,
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author="Drachen, Anders
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and Schubert, Matthias",
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editor="Seif El-Nasr, Magy
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and Drachen, Anders
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and Canossa, Alessandro",
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title="Spatial Game Analytics",
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bookTitle="Game Analytics: Maximizing the Value of Player Data",
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year="2013",
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publisher="Springer London",
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address="London",
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pages="365--402",
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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 ).",
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isbn="978-1-4471-4769-5",
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doi="10.1007/978-1-4471-4769-5_17",
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url="https://doi.org/10.1007/978-1-4471-4769-5_17"
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}
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@article{AHLQVIST20181,
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title = "GeoGame analytics – A cyber-enabled petri dish for geographic modeling and simulation",
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journal = "Computers, Environment and Urban Systems",
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volume = "67",
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pages = "1 - 8",
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year = "2018",
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issn = "0198-9715",
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doi = "https://doi.org/10.1016/j.compenvurbsys.2017.08.013",
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url = "http://www.sciencedirect.com/science/article/pii/S0198971517304234",
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author = "Ola Ahlqvist and Nayan Khodke and Rajiv Ramnath",
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keywords = "Games, Agent based models, Simulations, Analytics"
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}
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