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Full-Text Articles in Social and Behavioral Sciences
A General-Purpose Parallel Raster Processing Programming Library Test Application Using A Geographic Cellular Automata Model, Qingfeng Guan, Keith C. Clarke
A General-Purpose Parallel Raster Processing Programming Library Test Application Using A Geographic Cellular Automata Model, Qingfeng Guan, Keith C. Clarke
Department of Geography: Faculty Publications
A general-purpose parallel Raster Processing programming Library (pRPL) was developed and applied to speed up a commonly used Cellular Automaton model with known tractability limitations. The library is suitable for use by geographic information scientists with basic programming skills, but who lack knowledge and experience of parallel computing and programming. pRPL is a general-purpose programming library that provides generic support for raster processing, including local-scope, neighborhood-scope, regional-scope, and global-scope algorithms as long as they are parallelizable. The library also supports multi-layer algorithms. Besides the standard data domain decomposition methods, pRPL provides a spatially-adaptive quad-tree-based decomposition to produce more evenly distributed …
The Use Of High Frequency Gps Data To Classify Main Behavioural Categories In A Przewalski’S Horse In The Mongolian Gobi, Petra Kaczensky, Klaus Huber
The Use Of High Frequency Gps Data To Classify Main Behavioural Categories In A Przewalski’S Horse In The Mongolian Gobi, Petra Kaczensky, Klaus Huber
Erforschung biologischer Ressourcen der Mongolei / Exploration into the Biological Resources of Mongolia, ISSN 0440-1298
Behavioral observations of free ranging animals can provide important insight into many aspects of their biology but are not without problems. The recent development of GPS technology allows to remotely collect high precision location data at fixed intervals. We tested whether it is possible to classify the behavior of a Przewalski’s horse in the Mongolian Gobi into Resting, Grazing and Moving based on GPS locations collected at 15 minute intervals by comparing GPS data with direct observations. Although behavioral categories lasting for 15 minutes could by fairly reliably separated based on the distances covered between successive fixes, almost half the …