Systems and methods for knowledge discovery in spatial data
Abstract
Systems and methods are provided for knowledge discovery in spatial data as well as to systems and methods for optimizing recipes used in spatial environments such as may be found in precision agriculture. A spatial data analysis and modeling module is provided which allows users to interactively and flexibly analyze and mine spatial data. The spatial data analysis and modeling module applies spatial data mining algorithms through a number of steps. The data loading and generation module obtains or generates spatial data and allows for basic partitioning. The inspection module provides basic statistical analysis. The preprocessing module smoothes and cleans the data and allows for basic manipulation of the data. The partitioning module provides for more advanced data partitioning. The prediction module applies regression and classification algorithms on the spatial data. The integration module enhances prediction methods by combining and integrating models. The recommendation module provides the user with site-specific recommendations as to how to optimize a recipe for a spatial environment such as a fertilizer recipe for an agricultural field.
- Inventors:
- Issue Date:
- Research Org.:
- Idaho National Laboratory (INL), Idaho Falls, ID (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1175269
- Patent Number(s):
- 6865582
- Application Number:
- 09/753,363
- Assignee:
- Bechtel BWXT Idaho, LLC (Idaho Falls, ID)
- Patent Classifications (CPCs):
-
Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y02 - TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE Y02A - TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y10 - TECHNICAL SUBJECTS COVERED BY FORMER USPC Y10S - TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- DOE Contract Number:
- AC07-99ID13727
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 96 KNOWLEDGE MANAGEMENT AND PRESERVATION
Citation Formats
Obradovic, Zoran, Fiez, Timothy E., Vucetic, Slobodan, Lazarevic, Aleksandar, Pokrajac, Dragoljub, and Hoskinson, Reed L. Systems and methods for knowledge discovery in spatial data. United States: N. p., 2005.
Web.
Obradovic, Zoran, Fiez, Timothy E., Vucetic, Slobodan, Lazarevic, Aleksandar, Pokrajac, Dragoljub, & Hoskinson, Reed L. Systems and methods for knowledge discovery in spatial data. United States.
Obradovic, Zoran, Fiez, Timothy E., Vucetic, Slobodan, Lazarevic, Aleksandar, Pokrajac, Dragoljub, and Hoskinson, Reed L. Tue .
"Systems and methods for knowledge discovery in spatial data". United States. https://www.osti.gov/servlets/purl/1175269.
@article{osti_1175269,
title = {Systems and methods for knowledge discovery in spatial data},
author = {Obradovic, Zoran and Fiez, Timothy E. and Vucetic, Slobodan and Lazarevic, Aleksandar and Pokrajac, Dragoljub and Hoskinson, Reed L.},
abstractNote = {Systems and methods are provided for knowledge discovery in spatial data as well as to systems and methods for optimizing recipes used in spatial environments such as may be found in precision agriculture. A spatial data analysis and modeling module is provided which allows users to interactively and flexibly analyze and mine spatial data. The spatial data analysis and modeling module applies spatial data mining algorithms through a number of steps. The data loading and generation module obtains or generates spatial data and allows for basic partitioning. The inspection module provides basic statistical analysis. The preprocessing module smoothes and cleans the data and allows for basic manipulation of the data. The partitioning module provides for more advanced data partitioning. The prediction module applies regression and classification algorithms on the spatial data. The integration module enhances prediction methods by combining and integrating models. The recommendation module provides the user with site-specific recommendations as to how to optimize a recipe for a spatial environment such as a fertilizer recipe for an agricultural field.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Mar 08 00:00:00 EST 2005},
month = {Tue Mar 08 00:00:00 EST 2005}
}