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Development of framework for aggregation and visualization of three-dimensional (3D) spatial data
- Source :
- Big Data and Cognitive Computing; Volume 2; Issue 2; Pages: 9, Big Data and Cognitive Computing, Vol 2, Iss 2, p 9 (2018)
- Publication Year :
- 2021
- Publisher :
- Ryerson University Library and Archives, 2021.
-
Abstract
- Geospatial information plays an important role in environmental modelling, resource management, business operations, and government policy. However, very little or no commonality between formats of various geospatial data has led to difficulties in utilizing the available geospatial information. These disparate data sources must be aggregated before further extraction and analysis may be performed. The objective of this paper is to develop a framework called PlaniSphere, which aggregates various geospatial datasets, synthesizes raw data, and allows for third party customizations of the software. PlaniSphere uses NASA World Wind to access remote data and map servers using Web Map Service (WMS) as the underlying protocol that supports service-oriented architecture (SOA). The results show that PlaniSphere can aggregate and parses files that reside in local storage and conforms to the following formats: GeoTIFF, ESRI shape files, and KML. Spatial data retrieved using WMS from the Internet can create geospatial data sets (map data) from multiple sources, regardless of who the data providers are. The plug-in function of this framework can be expanded for wider uses, such as aggregating and fusing geospatial data from different data sources, by providing customizations to serve future uses, which the capacity of the commercial ESRI ArcGIS software is limited to add libraries and tools due to its closed-source architectures and proprietary data structures. Analysis and increasing availability of geo-referenced data may provide an effective way to manage spatial information by using large-scale storage, multidimensional data management, and Online Analytical Processing (OLAP) capabilities in one system.
- Subjects :
- spatial data fusion
environmental modelling
geospatial information
data mapping
software
big data
Geospatial analysis
010504 meteorology & atmospheric sciences
Computer science
Big data
010501 environmental sciences
computer.software_genre
01 natural sciences
lcsh:Technology
GeneralLiterature_MISCELLANEOUS
Management Information Systems
Artificial Intelligence
0105 earth and related environmental sciences
Database
business.industry
lcsh:T
Online analytical processing
Web Map Service
computer.file_format
Data structure
Computer Science Applications
Data mapping
GeoTIFF
Disparate system
business
computer
Information Systems
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Big Data and Cognitive Computing; Volume 2; Issue 2; Pages: 9, Big Data and Cognitive Computing, Vol 2, Iss 2, p 9 (2018)
- Accession number :
- edsair.doi.dedup.....49b103681d9162e3305f75f5cf4f4125
- Full Text :
- https://doi.org/10.32920/14638815