Progress in computational movement analysis – towards movement data science
نویسندگان
چکیده
منابع مشابه
Analysis of movement data
Analysis of Movement Data Somayeh Dodge, Robert Weibel, Sean C Ahearn, Maike Buchin, Jennifer A. Miller Department of Geography and Environmental Studies, University of Colorado Colorado Springs, USA Department of Geography, University of Zurich, Switzerland Department of Geography, City University of New York – Hunter College, New York, USA Faculty of Mathematics, Ruhr University Bochum, Germa...
متن کاملTowards Efficient Data Movement at Extreme Scale
High Performance Computing (HPC) systems are equipped with a massive number of processors, high-bandwidth networks, large capacity fast storage, and specialized parallel software to provide answers to challenging scientific and engineering questions. Over the past decades, data generation capabilities in these domains have grown rapidly due to the emergence of large-scale instruments such as te...
متن کاملComputational Laban Movement Analysis using probability calculus
This work presents a system which implements the concept of Laban Movement Analysis (LMA) using probability calculus and Bayesian theory. Our Human-InteractionDatabase (HID) provides sequences of position data from several persons performing several movements in 3-D (magnetic tracker) and 2-D (vision). From the position data a set of low-level features is calculated. Probability calculus is use...
متن کاملComputational Movement Analysis Using Brownian Bridges
Widespread availability of location tracking devices leads to a rapidly increasing amount of movement data and to the need to analyse these data. These data typically consist of location measurements taken at discrete times, often with a non-negligible error margin in the measured locations. A low sampling rate leads to high uncertainty of the locations between the times at which these measurem...
متن کاملInternational Conference on Computational Science, ICCS 2012 A Theory of Data Movement in Parallel Computations
We propose a set-theoretic model for parallelism. The model is based on separate distributions of data and work. The major theoretic result is that communication can then be derived by formal reasoning. While the model has an immediate interpretation in distributed memory parallelism, we show that it can also accomodate multicore shared memory programming, as well as clusters with accelerators....
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Geographical Information Science
سال: 2020
ISSN: 1365-8816,1362-3087
DOI: 10.1080/13658816.2020.1784425