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Modeling and Multiple Perceptions [chapter]

Christine Parent, Stefano Spaccapietra, Esteban Zimányi
2017 Encyclopedia of GIS  
Cross-References Computer Environments for GIS and CAD Movement Patterns in Spatio-Temporal Data Cross-References Geospatial Semantic Web, Interoperability Metadata and Interoperability, Geospatial  ...  processes and for contributing to our research.  ...  Spatial Data Partitioning Spatial data partitioning is an essential initial step to define, generate, and represent partitioned data. There are two major considerations for spatial data partitioning.  ... 
doi:10.1007/978-3-319-17885-1_805 fatcat:d4t4ossygvcutpfabqn6f3hjcm

High-resolution niche models via a correlative approach: Comparing and combining correlative and process-based information

Victor Bogosian III, Eric C. Hellgren, Michael W. Sears, Raymond W. Moody
2012 Ecological Modelling  
Correlative and process-based approaches to describing the ecological niche in a spatially explicit fashion have often been compared in an adversarial framework.  ...  Process-based information continues to be an important part of the niche, and may offer additional predictive accuracy via correlative approaches when included in an ecologically meaningful context.  ...  not be easily expressed in a correlative modeling approach or combined with temporally coarser habitat GIS layers.  ... 
doi:10.1016/j.ecolmodel.2012.04.017 fatcat:pbj3mlxyevha5cepxmfc5x63ji

Abstracts - Keynote Lectures

2010 Alcoholism: Clinical and Experimental Research  
The special emphasis is paid to phase methods which require to design of FP features such as temporal and spatial carrier frequency or phase shifts.  ...  The paper is intended to be a review of fringe pattern analysis methods, FPA, and their capabilities to analyse an extended class of images.  ...  The other recent tendency in fringe pattern analysis methods is to form hybrid methods which combine advantages of the well known approaches including: • spatial and temporal heterodyning 6 .  ... 
doi:10.1111/j.1530-0277.2010.01292_2.x fatcat:o2zhsus3cbabbfsqkld57b6ofy

Parallel Processing Strategies for Big Geospatial Data

Martin Werner
2019 Frontiers in Big Data  
This paper provides an abstract analysis of parallel processing strategies for spatial and spatio-temporal data.  ...  Throughout this discussion, the need for a replacement or extension of the MapReduce paradigm for spatial data is derived.  ...  One example of this class is ALT search (Goldberg and Harrelson, 2005) which has won the ACM SIGSPATIAL GIS Cup 2015 in a shared memory multiprocessing setting for dynamic street networks (Werner, 2015  ... 
doi:10.3389/fdata.2019.00044 pmid:33693367 pmcid:PMC7931969 fatcat:qepmevk64zcb5b74vyoinqxerm

A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation

Haitao Yuan, Guoliang Li
2021 Data Science and Engineering  
First, we summarize traffic data into five types according to their difference on spatial and temporal dimensions.  ...  , traffic prediction plays an important role.  ...  In addition, they build benchmark datasets for some popular transportation data mining competitions, such as KDD CUP 2020 4 and CCF BDCI 2020 5 .  ... 
doi:10.1007/s41019-020-00151-z fatcat:nnnnxnpo3bgk3l4hpr7kk2n4xa

Phase transition and computational complexity in a stochastic prime number generator

L Lacasa, B Luque, O Miramontes
2008 New Journal of Physics  
We finally relate the nature of the phase transition to an average-case classification of the problem.  ...  Further on we redefine the model as a search problem, fitting it in the hallmark of computational complexity theory. We suggest that the system belongs to the class NP.  ...  Chaos in a cup of flour.  ... 
doi:10.1088/1367-2630/10/2/023009 fatcat:tomkdjvndncapdcuxhimtvr3za

Intersexual spatial relationships in a lekking species: blue-crowned manakins and female hot spots

Renata Durães, Bette A. Loiselle, John G. Blake
2007 Behavioral Ecology  
Leks offer an intriguing evolutionary problem: why do males aggregate when this apparently leads to fitness costs?  ...  Our results indicate that this lack of spatial correlation between males and females results partly from differences in sex-specific habitat preferences.  ...  We thank Dr Patricia Parker for sharing the facilities of the Molecular Genetic Laboratory in Zoological Studies at the Department of Biology/University of Missouri-St Louis and K Halbert for her invaluable  ... 
doi:10.1093/beheco/arm072 fatcat:47ks5jwdwnf3vbsiilxlacxsse

Responses to River Inundation Pressures Control Prey Selection of Riparian Beetles

Matt J. O'Callaghan, David M. Hannah, Ian Boomer, Mike Williams, Jon P. Sadler, Justin Wright
2013 PLoS ONE  
The effect these strategies have on prey selection is not known.  ...  Prey sourced from terrestrial or emerging/stranded aquatic invertebrates varied in relation to traits for inundation avoidance or tolerance strategies.  ...  We thank Adam Bates for his valuable comments on an early draft of the manuscript and those of the anonymous reviewers.  ... 
doi:10.1371/journal.pone.0061866 pmid:23613958 pmcid:PMC3629232 fatcat:hbcscohdyndlzai77kdqruqjem

A Review of Rule Learning Based Intrusion Detection Systems and Their Prospects in Smart Grids

Qi Liu, Veit Hagenmeyer, Hubert B. Keller
2021 IEEE Access  
The evaluation on a subset of KDD CUP 99 dataset shows that their approach has an accuracy above 90% for all types of attacks, but suffers from a very high false positive rate for privilege escalation  ...  A common approach is to introduce an objective function that evaluates each network structure using training data, and then to search for the best Bayesian network according to this objective function  ... 
doi:10.1109/access.2021.3071263 fatcat:4knmfd4yezhabkbnsl5ahdt2bi

Mapping neural networks onto message-passing multicomputers

Joydeep Ghosh, Kai Hwang
1989 Journal of Parallel and Distributed Computing  
The structural model offers an efficient methodology for mapping virtual neural networks onto a real parallel computer.  ...  Until the technology for direct hardware implementation of large neural networks is available, simulation remains the most viable alternative for the connec-tion& community.  ...  For more randomly structured networks, simple techniques developed for partitioning of graphs [ 371 prove effective.  ... 
doi:10.1016/0743-7315(89)90063-4 fatcat:yfbqnpzv4fcjvklmuxdiuthkhi

Presence of microplastics and nanoplastics in food, with particular focus on seafood

2016 EFSA Journal  
of nanoplastics in the human GI tract.  ...  Research on the toxicokinetics and toxicity, including studies on local effects in the gastrointestinal (GI) tract, are needed as is research on the degradation of microplastics and potential formation  ...  Research on the toxicokinetics and toxicity, including studies on local effects in the GI tract, are needed, in particular, for the smaller sized particles.  ... 
doi:10.2903/j.efsa.2016.4501 fatcat:6af6cvuxr5c3pe6qlazb6copuq

Download Complete Issue: CP62 (9MB)

Complete Issue
2009 Cartographic Perspectives  
The approach can be effectively used with data that are integrated at a level of 3 from the empirical analysis.  ...  Blue Book publishers attempted the following year to make the series more competitive by switching to an atlas format.  ...  It was awarded third place in the thematic category of the CaGIS 2008 36th Annual Map Design Competition.  ... 
doi:10.14714/cp62.178 fatcat:din7b27cdjaqnbdwpe26q6m63i

Structure of marine predator and prey communities along environmental gradients in a glaciated fjord

Martin Renner, Mayumi L. Arimitsu, John F. Piatt, Marie-Joëlle Rochet
2012 Canadian Journal of Fisheries and Aquatic Sciences  
Spatial patterns of marine predator communities are influenced to varying degrees by prey distribution and environmental gradients.  ...  Résumé : La répartition spatiale de communautés de prédateurs marins est influencée à divers degrés par la répartition des proies et des gradients environnementaux.  ...  Any mention of trade names is for descriptive purposes only and does not constitute endorsement by the federal government.  ... 
doi:10.1139/f2012-117 fatcat:fiwyeespxfeclfvyynkcujb6pu

Enhancement of a Short-Term Forecasting Method Based on Clustering and kNN: Application to an Industrial Facility Powered by a Cogenerator

Giulio Vialetto, Marco Noro
2019 Energies  
In this paper, a clustering approach for the short-term forecasting of energy demand in industrial facilities is presented.  ...  An analysis of the parameters and the results of the model is performed, showing a forecast of electricity demand with an error of 3%.  ...  Acknowledgments: We are thankful to Amy Segata (Eurac Research) for designing the figures of the study.  ... 
doi:10.3390/en12234407 fatcat:qcygfp5lzjef3ldv3xxzunzwni

Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

Yixin Zhu, Tao Gao, Lifeng Fan, Siyuan Huang, Mark Edmonds, Hangxin Liu, Feng Gao, Chi Zhang, Siyuan Qi, Ying Nian Wu, Joshua B. Tenenbaum, Song-Chun Zhu
2020 Engineering  
Recent progress in deep learning is essentially based on a "big data for small tasks" paradigm, under which massive amounts of data are used to train a classifier for a single narrow task.  ...  In this paper, we call for a shift that flips this paradigm upside down.  ...  movement, or spatial-temporal features [88, 89].  ... 
doi:10.1016/j.eng.2020.01.011 fatcat:dltxealx3zgk5eyi2hlszbjhmu
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