Development of Framework for Aggregation and Visualization of Three-Dimensional (3D) Spatial Data
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. The...
Main Authors: | Mihal Miu, Xiaokun Zhang, M. Ali Akber Dewan, Junye Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-03-01
|
Series: | Big Data and Cognitive Computing |
Subjects: | |
Online Access: | http://www.mdpi.com/2504-2289/2/2/9 |
Similar Items
-
Big Geospatial Data or Geospatial Big Data? A Systematic Narrative Review on the Use of Spatial Data Infrastructures for Big Geospatial Sensing Data in Public Health
by: Keumseok Koh, et al.
Published: (2022-06-01) -
An Enhanced Partitioning Approach in SpatialHadoop for Handling Big Spatial Data
by: Abdulaziz Shehab, et al.
Published: (2023-02-01) -
High-Performance Geospatial Big Data Processing System Based on MapReduce
by: Junghee Jo, et al.
Published: (2018-10-01) -
Spatial Visualization Based on Geodata Fusion Using an Autonomous Unmanned Vessel
by: Marta Włodarczyk-Sielicka, et al.
Published: (2023-03-01) -
Enhancement of three-dimensional geospatial web services using compression techniques /
by: Siew, Chengxi Bernad, 1985-, author, et al.
Published: (2016)