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Geospatial data stream processing in python using FOSS4G components
G. McFerren
,
T. Van Zyl
CSIR Meraka Institute
University of the Witwatersrand
Research output
:
Contribution to journal
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Conference article
›
peer-review
4
Citations (Scopus)
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Keyphrases
Application Usage
25%
Automatic Identification System
25%
Buoy Array
25%
Common Data Model
50%
Data Needs
25%
Dynamic Source
25%
Earth Observation
25%
FOSS4G
100%
Geodesics
25%
Geoinformatics
25%
Geometric Computing
25%
Geometric Transformation
25%
Geospatial
25%
Geospatial Software
25%
Heterogeneous Dynamics
25%
High Velocity
25%
Incomplete Data
25%
IT Systems
25%
Load Scenarios
25%
Load Size
25%
Message-based
25%
Model Standards
25%
Number of Wells
25%
Oceanic Buoy
25%
On the Move
25%
Open Geospatial Consortium
25%
Pattern Metrics
25%
Performance Metrics
25%
Primitive Function
25%
Processing Paradigm
25%
Python
100%
Python Software
25%
R-tree
25%
Real Application
25%
Real Load
25%
Relationship Needs
25%
Satellite Constellation
25%
Size Complexity
25%
Software Component
50%
Software Library
50%
Spatial Analytics
25%
Spatial Data
50%
Spatial Data Streams
100%
Spatial Database Queries
25%
Spatial Indexing
25%
Spatial Relationship
50%
Spatiotemporal Relationship
50%
Stream Processing
100%
Streaming Data
25%
Streaming Framework
25%
Swordfish
75%
System Use Cases
25%
Temporal Constraints
25%
Tight
25%
Unidata
25%
Usage Patterns
25%
Usage Performance
25%
Volume Overload
25%
Computer Science
Data Model
40%
Data Stream
60%
Data Stream Processing
100%
Data Streaming
40%
Geodesics
20%
Geospatial Data
100%
open geospatial consortium
20%
Performance Metric
20%
Processing Paradigm
20%
Python
100%
Python Software
20%
Real Application
20%
Software Component
40%
Software Library
40%
Spatial Database
20%
Spatial Relationship
40%
System Identification
20%
Temporal Constraint
20%
Temporal Relationship
20%
Use Case
40%