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Spatial Generalization and Aggregation of Massive Movement Data
2011
IEEE Transactions on Visualization and Computer Graphics
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We suggest a method for spatial generalization and aggregation of movement data, which transforms trajectories into aggregate flows between areas. It is assumed that no predefined areas are given. ...
We introduce local and global numeric measures of the quality of the generalization, and suggest an approach to improve the quality in selected parts of the territory where this is deemed necessary. ...
CONCLUSION We have described an approach to spatial generalization and aggregation of movement data. ...
doi:10.1109/tvcg.2010.44
pmid:21149876
fatcat:m4mikokmczfshbgonx5wysniq4
A Comparison of Spatial Generalization Algorithms for LBS Privacy Preservation
2007
2007 International Conference on Mobile Data Management
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Spatial generalization has been recently proposed as a technique for the anonymization of requests in location based services. ...
This paper presents the results of an extensive experimental study, considering known generalization algorithms as well as new ones proposed by the authors. ...
We would like to thank Dario Freni for his excellent programming job in the set-up of the experiments, and the reviewers for their helpful comments. ...
doi:10.1109/mdm.2007.54
dblp:conf/mdm/MascettiB07
fatcat:lgw7d64btbcb5jwcaqaotqjgim
A QTM-based Algorithm for Generation of the Voronoi Diagram on a Sphere
[chapter]
2002
Advances in Spatial Data Handling
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To efficiently store and analyse spatial data at a global scale, the digital expression of the Earth's data must be global, continuous and conjugate, i.e., a spherical dynamic data model is needed. ...
The complexity of the Voronoi algorithms for line and area data sets in a vector-based context limits its application in dynamic GISs. ...
The Principle of Generating the Voronoi Diagram on a Sphere in QTM The Algorithm for generating the Voronoi diagram on a spherical surface is based on the principle of dilation operation in mathematical ...
doi:10.1007/978-3-642-56094-1_20
fatcat:4ra535ubifcprbbchdycfplqwy
Assessment and Benchmarking of Spatially Enabled RDF Stores for the Next Generation of Spatial Data Infrastructure
2019
ISPRS International Journal of Geo-Information
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The query performances are generally acceptable, and spatial indexing is imperative when handling a large number of geospatial objects. ...
Geospatial data is primarily maintained and disseminated through spatial data infrastructures (SDIs). ...
Funding: The work was supported by Lund University and China Scholarship Council.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/ijgi8070310
fatcat:dczpbeeyhndbboxr2lxuhojj6m
High-fidelity reconstruction of turbulent flow from spatially limited data using enhanced super-resolution generative adversarial network
[article]
2021
arXiv
pre-print
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2021 pre-print arXiv:2109.04250v1 fatcat:casugurppfgrnhqvejuo5qiotq
The instantaneous and statistical results obtained from the model agree well with the ground truth data, indicating that the model can successfully learn to map the coarse flow fields to the high-resolution ...
The model capability to reconstruct high-resolution laminar flows is examined using data of laminar flow around a square cylinder. ...
with similar spatial and temporal accuracy as that of the DNS data. ...
arXiv:2109.04250v2
fatcat:v6ombdpu65cq7gbezrzjd2dg6e
GENERALIZED SPATIAL MODELS OF FOREST STRUCTURE USING AIRBORNE MULTISPECTRAL AND LASER SCANNER DATA
2012
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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The applied methods show positive potential towards producing spatial models of forest structure. ...
Models were built using information from airborne optical and LiDAR data across two adjacent forest sites using the remote sensing data collected by a similar instrument. ...
We thank the Forest Service of BW for providing the required forest inventory data. ...
doi:10.5194/isprsarchives-xxxviii-4-w19-173-2011
fatcat:6ix5ug2hmfh7xpwxuq3kgesggm
Learning to Generate Descriptions of Visual Data Anchored in Spatial Relations
2017
IEEE Computational Intelligence Magazine
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We describe the data we have created, and compare a range of machine learning methods in terms of the success with which they learn the mapping from features to spatial relations, using automatic and human-assessed ...
The task we address in this paper is the automatic generation of image descriptions that are anchored in spatial relations. ...
Krahmer and van Deemter observe that if relations are important and frequently used, then this may call into question the validity of the incremental generation algorithm, perhaps the most influential ...
doi:10.1109/mci.2017.2708559
fatcat:lzqsen7l2ndrnfgvl7vd5arl4a
Spatial data modeling by means of Gibbs Markov random fields based on a generalized planar rotator model
[article]
2022
arXiv
pre-print
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We introduce a Gibbs Markov random field for spatial data on Cartesian grids which is based on the generalized planar rotator (GPR) model. ...
The GPR model generalizes the recently proposed modified planar rotator (MPR) model by including in the Hamiltonian additional terms that better capture realistic features of spatial data, such as smoothness ...
Spatial data on regular grids are often modeled by means of Gaussian Markov random fields (MRF) [23] , which are based on the principles of conditional independence and the imposition of spatial correlations ...
arXiv:2201.02537v1
fatcat:d2glhovcdvgrlmvisysvkmnel4
A METHOD OF GENERATING DEM FROM DSM BASED ON AIRBORNE INSAR DATA
2018
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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is adopted to remove the gross errors and the threshold is selected according to the coherence of the interferometry. ...
First of all, when the DSM is generated by interferometry, unavoidable factors such as overlay and shadow will produce gross errors to affect the data accuracy, so the adaptive threshold segmentation method ...
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-3, 2018 ISPRS TC III Mid-term Symposium "Developments, Technologies and Applications in Remote ...
doi:10.5194/isprs-archives-xlii-3-1203-2018
fatcat:zn4kx76rrfd2dmbpo6kcgqyh2y
OCCLUSION DETECTION BY HEIGHT GRADIENT FOR TRUE ORTHOPHOTO GENERATION, USING LIDAR DATA
2013
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-1/W1, ISPRS Hannover Workshop ...
Considering this context, the aim of this article is to introduce an alternative procedure for occlusion detection in aerial images, using LiDAR (Light Detection And Ranging) data, aiming at the generation ...
of data used in this work. ...
doi:10.5194/isprsarchives-xl-1-w1-275-2013
fatcat:ivectllprfdslintlu4ai6xska
CRUCIAL POINTS OF INTERFEROMETRIC PROCESSING FOR DEM GENERATION USING HIGH RESOLUTION SAR DATA
2012
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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For DEM generation, a part of Istanbul (historical peninsula and near surroundings) was selected as the test field because of data availability. ...
The quality of the data set and used software package come into prominence for the stability of the generated DEM. ...
The TerraSAR-X images were acquired in the framework of the general proposal "Evaluation of DEM derived from TerraSAR-X data" (ID LAN_0634), submitted to DLR in 2009. ...
doi:10.5194/isprsarchives-xxxviii-4-w19-289-2011
fatcat:4byzepmp2zb6vco34ik2vkdhoq
3D CONTENT GENERATION USING HYBRID AERIAL SENSOR DATA
2021
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Special attention is paid to the hybrid orientation of the data and the integrated generation of base and enhanced products. ...
The process of data acquisition is discussed and strategies for hybrid urban mapping are proposed. A hybrid sensor alone is just a part of the whole procedure to generate 3D content. ...
A selection of the possibilities will be presented here in Table 4 . ...
doi:10.5194/isprs-archives-xliii-b2-2021-297-2021
fatcat:cn5k5osu4bcu5ndlkvza3nm2nu
TOWARDS THEMATIC WEB SERVICES FOR GENERIC DATA VISUALIZATION AND ANALYSIS
2012
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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a principle for communication and allow users to visualize spatial information online. ...
DATA INPUT AND CLASSIFICATION SCHEMES
Data Input Automated cartographic interpretation of generic data requires an intelligent spatial data discovery and integration of geographic information system ...
doi:10.5194/isprsannals-i-4-147-2012
fatcat:lrbba74qxbcsdnixt4b3wm3fae
Use of GIS Tools in Sustainable Heritage Management—The Importance of Data Generalization in Spatial Modeling
2019
Sustainability
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Thus, various map content generalizations were analyzed in the article; the main goal was to find the level for which the data with an acceptable loss of accuracy can be generalized. ...
To analyze the various forms of spatial management inscribed into sustainable development, information on the location of objects and their concentration at specific areas is necessary. ...
Acknowledgments: Authors would like to thank the National Heritage Board of Poland, for sharing data on non-movable monuments in Poland. ...
doi:10.3390/su11205616
fatcat:flddpgovinhodmig2ua4zhrjbi
Generation of Synthetic Spatially Embedded Power Grid Networks
[article]
2015
arXiv
pre-print
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The algorithm uses the Gaussian Mixture Model (GMM) for density estimation of the node positions and generates a set of nodes with similar spatial distribution to the nodes in a given network. ...
Therefore, we study the structural properties of the North American grids and present an algorithm for generating synthetic spatially embedded networks with similar properties to a given grid. ...
Algorithm 1: Geographical Network Learner and Generator (GNLG) Input: G, {p i } n i=1 , and parameters κ, α, β, γ > 0 and N ∈ N. 1: Generate a set of nodes with similar spatial distribution to the nodes ...
arXiv:1508.04447v1
fatcat:5rshqbdyurcsfah2u6w6m3twye
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