Large Scale Geospatial Data Mining Using HADOOP and R SYSTEM
Abstract
The Awardee has proposed researching and developing a framework for processing and analyzing large-scale geospatial and environmental data using a “Big Data” infrastructure. Existing Big Data solutions do not include any mechanism to analyze geospatial data. In this work, the Awardee intends to extend HBase and HDFS to support geospatial data and demonstrate its analytical use with some common geospatial data types and data mining technology provided by the R-language. The resulting framework should be a robust capability to share large-scale geospatial data using spatial data mining ands making its outputs available to the end user.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 18, 2016
- Source ID
- N00173162C902
Entities
People
- Mahdi Abdelguerfi
Organizations
- United States Naval Research Laboratory
- United States Navy
- University of New Orleans