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A Hierarchical Spatial Network Index for Arbitrarily Distributed Spatial Objects
2021
ISPRS International Journal of Geo-Information
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To improve range query processing on networks, this paper proposes a balanced Hierarchical Network index (HN-tree) to query spatial objects on networks. ...
The main idea is to recursively partition the data on the network such that each partition has a similar number of spatial objects. ...
To this end, this paper proposes a novel spatial index for SOs on road networks called the Hierarchical Network tree (HN-tree). ...
doi:10.3390/ijgi10120814
fatcat:qnj6uh4chfbp5lvxfx6xr4rbga
Efficient classification of billions of points into complex geographic regions using hierarchical triangular mesh
2014
Proceedings of the 26th International Conference on Scientific and Statistical Database Management - SSDBM '14
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2014 pre-print arXiv:1410.0709v1 fatcat:2o4utupp2vfd3mpzyuz7ub5qfm
We present a case study about the spatial indexing and regional classification of billions of geographic coordinates from geo-tagged social network data using Hierarchical Triangular Mesh (HTM) implemented ...
With full control over the index structure, HTM-based pre-filtering of simple containment searches outperforms SQL Server spatial indices by a factor of ten and HTM-based spatial joins run about a hundred ...
The table uses 11 bytes for the spatial index which is complemented by the primary key of the indexed object, in our case an additional 10 bytes. ...
doi:10.1145/2618243.2618245
dblp:conf/ssdbm/KondorDCBVBS14
fatcat:rbp2zuyxxfertlvku6xaw2ypie
Spatial queries in sensor networks
2005
Proceedings of the 2005 international workshop on Geographic information systems - GIS '05
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We develop a distributed spatial index over the sensor nodes that is used in processing spatial queries in a distributed fashion. ...
In this paper we propose a scalable and distributed way of spatial query execution in sensor networks. ...
This distributed spatial index is built once by flooding a message into the sensor network and will be used for processing all spatial queries in the sensor network. ...
doi:10.1145/1097064.1097074
dblp:conf/gis/SoheiliKG05
fatcat:dmly4gvjejb6jdiaquoftctrm4
Data Management and Mining in Astrophysical Databases
2003
arXiv
pre-print
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Clustering and classification techniques, on large datasets, pose additional requirements: computational and memory scalability with respect to the data size, interpretability and objectivity of clustering ...
An essential role in the astrophysical research will be assumed by automatic tools for information extraction from large datasets, i.e. data mining techniques, such as clustering and classification algorithms ...
Spatial data are characterized by a complex structure (a spatial object can be a single point or a set of polygons arbitrarily distributed). ...
arXiv:cs/0307032v2
fatcat:aau2mrliqjgovbkcfqzw77vxwi
Indexing and Browsing Digital Maps with Intelligent Thumbnails
[chapter]
2002
Advances in Spatial Data Handling
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In combination with a hierarchical place name structure and concept ontology, it is used to evaluate the spatial and thematic relevance of the indexed data sources with respect to spatio-thematic queries ...
to evaluate it relative to the requirements for complex spatial and thematic queries. . ...
For example, if the grid cells occupied by object A are also occupied by object B, it can be inferred that object A is contained in object B. ...
doi:10.1007/978-3-642-56094-1_6
fatcat:qy6rqduj2bd2bjpl4ca7rgezji
aCN-RB-tree: Constrained Network-Based Index for Spatio-Temporal Aggregation of Moving Object Trajectory
2009
KSII Transactions on Internet and Information Systems
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In this paper, we proposed a novel index structure for spatio-temporal aggregation of trajectory in a constrained network, named aCN-RB-tree. ...
Also, the proposed index structure is based on a constrained network structure such as a FNR-tree, so that it can decrease the dead space of index nodes. ...
This kind of indexing is tested in a simulation system. ...
doi:10.3837/tiis.2009.05.007
fatcat:6man25vpbbgkxduxg3kjadjchy
A Survey of Spatio-Temporal Big Data Indexing Methods in Distributed Environment
2022
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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How to construct an effective index for the application requirements of spatio-temporal data in a distributed environment has become one of the hotspots of spatio-temporal big data research. ...
Conventional big data technologies in existing distributed systems cannot effectively process spatio-temporal big data with temporal continuity and spatial proximity. ...
Li, with special thank A. Eldawy, Assistant Professor, with the University of California Riverside. This article was produced by the IEEE Publication Technology Group. ...
doi:10.1109/jstars.2022.3175657
fatcat:tjklpbkfffasjhwillift47k2i
SPATIAL PATTERN ANALYSIS THROUGH DISTRIBUTION METRICS
2022
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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We propose an approach for the creation of new spatial attributes and metrics (features) aiming to quantitatively describe the qualitative distribution of objects (e.g., buildings) in a 2D space. ...
Second, the comparison between feature-based and neural network clustering, gave useful insights for a preliminary understanding of unsupervised learning techniques internal mechanisms. ...
In this framework, this study proposes an approach for the creation and validation of new spatial attributes and metrics (features) aiming to quantitatively describe the qualitative distribution of objects ...
doi:10.5194/isprs-archives-xliii-b4-2022-69-2022
fatcat:kkk6e6etirdfdjewsul7qf6n6q
USING SYSTEMS OF PARALLEL AND DISTRIBUTED DATA PROCESSING TO BUILD HYDROLOGICAL MODELS BASED ON REMOTE SENSING DATA
2021
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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The existing approaches with distributed processing of spatial data of various types (vector cartographic objects, raster data, point clouds, graphs) are analyzed. ...
of a hydroelectric power plant, was chosen as the basic task for testing the chosen approach. ...
ACKNOWLEDGEMENTS The article was prepared within the grant for carrying out major scientific projects in priority areas of scientific and technological development under the subprogram "Fundamental scientific ...
doi:10.5194/isprs-archives-xliii-b4-2021-111-2021
doaj:c51969823e974ff3ba52077aea8a4d95
fatcat:a67wafwn3zb4pnwyljwsqyqoca
Hydrogeology
[chapter]
2017
Encyclopedia of GIS
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In: Clark JS, Gelfand AE (eds) Hierarchical modelling for the environmental sciences. ...
Oxford University Press, Oxford, pp 145-169 Wikle CK, Hooten MB (2010) A general science-based framework for dynamical spatio-temporal models. ...
Cross-References Autocorrelation, Spatial Data Analysis, Spatial Hierarchical Spatial Models Semivariogram Modeling Uncertainty, Modeling with Spatial and Temporal ...
doi:10.1007/978-3-319-17885-1_100563
fatcat:pc6ao5iuwjeh3mopiapeokmkq4
NS-DBSCAN: A Density-Based Clustering Algorithm in Network Space
2019
ISPRS International Journal of Geo-Information
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Furthermore, it provided a new technique for visualizing the density distribution and indicating the intrinsic clustering structure. ...
The NC_DT method excessively gathered most objects into a huge cluster. ...
Moreover, Chen [53] proposed a framework for clustering moving objects in a spatial network based on the notion of cluster block. ...
doi:10.3390/ijgi8050218
fatcat:2bqulmpzfrepnp2sohy3eemqq4
Mapping Green Spaces in Bishkek—How Reliable can Spatial Analysis Be?
2011
Remote Sensing
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Quantifying the ‗greenness' of urban areas allows comparing urban areas at several levels, as well as monitoring the evolution of green spaces in urban areas, thus serving as a tool for urban and developmental ...
When applying methods of object based image analysis (OBIA) and fuzzy classification, the degrees of fuzzy membership per object in general describe to what degree an object fits (prototypical) class descriptions ...
Acknowledgments We gratefully acknowledge support by the GeoEye Foundation providing GeoEye-1 imagery for the city of Bishkek, a research fellowship awarded to Nazarkulova by the Eurasia-Pacific Uninet ...
doi:10.3390/rs3061088
fatcat:3wbc4w7rv5cyhjpqoxl5ktwh6m
Analyzing design choices for distributed multidimensional indexing
2011
Journal of Supercomputing
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to choose a distributed multidimensional index for a specific data analysis application. ...
This paper compares the designs, challenges, and problems for distributed multidimensional indexing schemes, and provides a comprehensive performance study of distributed indexing to provide guidelines ...
The number of network messages for centralized indexing and hierarchical two level indexing schemes is proportional to N decluster (the number of data servers involved in a query). ...
doi:10.1007/s11227-011-0567-7
fatcat:z3vx6zzgx5fkbap5pyunhrwpwm
Unified transition to cooperative unmanned systems under Spatial Grasp paradigm
2014
Transactions on Networks and Communications
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This "spatial grasp" language is collectively interpreted by a dynamic network of communicating interpreters embedded into key system points, in open or stealth mode. ...
The technology offered having a ubiquitous super-virus feature with extended capability of self-recovery can create runtime intelligent spatial infrastructures governing distributed systems or penetrate ...
Single Object Tracking in a Sensor Network For a single object moving through the controlled area (as in Fig. 28 ), the following program starting in all sensors catches the object it sees and then follows ...
doi:10.14738/tnc.22.130
fatcat:o2kohvealrhwlakxfxl4z4wsw4
SO-Net: Self-Organizing Network for Point Cloud Analysis
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
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The SO-Net models the spatial distribution of point cloud by building a Self-Organizing Map (SOM). ...
This paper presents SO-Net, a permutation invariant architecture for deep learning with orderless point clouds. ...
This work is supported partially by a ODPRT start-up grant R-252-000-636-133 from the National University of Singapore. ...
doi:10.1109/cvpr.2018.00979
dblp:conf/cvpr/LiCL18
fatcat:ez7rgscl4rdonmxygcgbrkikle
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