Linda Koch
Jennifer Ho
Cory Yap
Mike Kido
University of Hawaii at Manoa, Honolulu, HI
Natural Resource Management Monday
March 5, 2012 - 10:45 am to noon
Cyberinfrastructure (CI), viewed as the coordinated aggregate of computer hardware / software and other technologies which change data into knowledge systems, has great potential for connecting science with policy by facilitating rapid, effective delivery and integration of information to decision makers about the dynamic state of human-environment systems at global scales. Coupled with GIS, CI is enhanced with adding functionality for spatiotemporal database management, spatial analysis and modeling, visualization and extended support for virtualized problem solving applications such as Spatial Decision Support (SDS). We will present an overview of such an end-to-end platform, The Research Cyberinfrastructure Core (RCC), developed through NSF EPSCoR funding to the Center for Conservation Research and Training at UH Manoa. Housed on a high-performance, distributed computing server cluster managed by The Pacific Biosciences Research Center, the RCC integrates the use of wireless sensor technologies for environmental monitoring, Grid computing with 3D geospatial data visualization / exploration, GIS-based Spatial Decision Support and a secured Internet portal user interface which is being applied to enhance natural resource management activities in the Hawaiian Islands.
Showing posts with label UH. Show all posts
Showing posts with label UH. Show all posts
Wednesday, January 4, 2012
Creating Bathymetry Maps With Coarse Data - Bayesian Kriging Using Open Source Tools
Hal Koike
University of Hawaii at Manoa, Honolulu, HI
3D GIS
Monday March 5, 2012 - 3:15 to 4:30 pm
Demonstration of conditional simulation (using Bayesian statistics) to estimate the depth values from the point depth data derived from navigational charts. The methods outlined use open source tools (GeoR, R, GRASS) to generate spatial products.
University of Hawaii at Manoa, Honolulu, HI
3D GIS
Monday March 5, 2012 - 3:15 to 4:30 pm
Demonstration of conditional simulation (using Bayesian statistics) to estimate the depth values from the point depth data derived from navigational charts. The methods outlined use open source tools (GeoR, R, GRASS) to generate spatial products.
Online Rainfall Atlas of Hawai‘i
Abby Frazier
Thomas Giambelluca
Qi Chen
University of Hawaii at Manoa, Honolulu, HI
Donna Delparte
Jonathan Price
University of Hawaii at Hilo, Hilo, HI
Water Resources
Monday March 5, 2012 - 3:15 to 4:30 pm
The Hawaiian Islands have one of the most diverse rainfall patterns on earth. Knowledge of these patterns is vitally important for a number of resource management issues, including the restoration and protection of native ecosystems, ground water and surface water development and protection, and planning for the effects of global warming. A new set of digital maps of mean monthly and annual rainfall from 1978-2007 for the major Hawaiian Islands has been developed. A monthly rainfall database was assembled with over 1,000 stations, using several gap-filling techniques to address missing values in the station records. "Virtual raingage" sites were estimated in remote areas based on patterns of natural vegetation. The final gridded maps were created using a Bayesian data fusion method that merged the station data with three predictor maps derived from Radar rainfall, MM5 model rainfall, and PRISM rainfall maps.
A new interactive website was created to make the rainfall maps, data, and related information easily accessible. Users can download map images, GIS and Google Earth layers, and station data or obtain information via an interactive map. To access the website, visit:
http://rainfall.geography.hawaii.edu/.
Thomas Giambelluca
Qi Chen
University of Hawaii at Manoa, Honolulu, HI
Donna Delparte
Jonathan Price
University of Hawaii at Hilo, Hilo, HI
Water Resources
Monday March 5, 2012 - 3:15 to 4:30 pm
The Hawaiian Islands have one of the most diverse rainfall patterns on earth. Knowledge of these patterns is vitally important for a number of resource management issues, including the restoration and protection of native ecosystems, ground water and surface water development and protection, and planning for the effects of global warming. A new set of digital maps of mean monthly and annual rainfall from 1978-2007 for the major Hawaiian Islands has been developed. A monthly rainfall database was assembled with over 1,000 stations, using several gap-filling techniques to address missing values in the station records. "Virtual raingage" sites were estimated in remote areas based on patterns of natural vegetation. The final gridded maps were created using a Bayesian data fusion method that merged the station data with three predictor maps derived from Radar rainfall, MM5 model rainfall, and PRISM rainfall maps.
A new interactive website was created to make the rainfall maps, data, and related information easily accessible. Users can download map images, GIS and Google Earth layers, and station data or obtain information via an interactive map. To access the website, visit:
http://rainfall.geography.hawaii.edu/.
Monday, January 2, 2012
Hawaii Geospatial Data Repository
Donna Delparte
University of Hawaii at Hilo, Hilo, HI
Gwen Jacobs
University of Hawaii at Manoa, Honolulu, HI
GIS in Education: K-12 and University
Wednesday March 7, 2012 - 10:45 am to noon
The Hawai‘i Geospatial Data Repository (HGDR) allows access to scientific datasets for researchers and collaborators from around the state. The HGDR provides an integrative capability to collect, store and manage access to data in support of discovery, manipulation, and visualization. Geospatial information is being delivered through web mapping services and is used to build applications to visualize data from the research agenda. Disparate sensor and field datasets are managed and controlled by researchers who can upload, download, manage, query and perform QA/QC on their data. The Hawaii Geospatial Data Repository is working towards integrating a variety of formats and further developing custom portals for statewide datasets as well as facilitating connections to High Performance Computing for modeling, analysis and visualization.
University of Hawaii at Hilo, Hilo, HI
Gwen Jacobs
University of Hawaii at Manoa, Honolulu, HI
GIS in Education: K-12 and University
Wednesday March 7, 2012 - 10:45 am to noon
The Hawai‘i Geospatial Data Repository (HGDR) allows access to scientific datasets for researchers and collaborators from around the state. The HGDR provides an integrative capability to collect, store and manage access to data in support of discovery, manipulation, and visualization. Geospatial information is being delivered through web mapping services and is used to build applications to visualize data from the research agenda. Disparate sensor and field datasets are managed and controlled by researchers who can upload, download, manage, query and perform QA/QC on their data. The Hawaii Geospatial Data Repository is working towards integrating a variety of formats and further developing custom portals for statewide datasets as well as facilitating connections to High Performance Computing for modeling, analysis and visualization.
Sunday, January 1, 2012
Open Source Applications in Web Mapping
Abe Coughlin
John Maurer
University of Hawaii/SOEST/PacIOOS
Conference-Related Workshop
Thursday March 8, 2012 - 1:00 to 4:00 pm
Two parallel approaches to sharing and displaying spatial data will be presented. One approach is building your own open-source stack of GIS software using the Postgresql database with the POSTGIS extension, the GIS platform Quantum GIS, the map server Geoserver and the viewer GeoExplorer.
The other approach leverages the Google Maps API via JavaScript programming and may touch upon jQuery, server-side scripting with Python, and Ajax along the way.
This is a conference-related event that HIGICC is helping to publicize. The event is free, but separate registration is required.
Click here for more information
John Maurer
University of Hawaii/SOEST/PacIOOS
Conference-Related Workshop
Thursday March 8, 2012 - 1:00 to 4:00 pm
Two parallel approaches to sharing and displaying spatial data will be presented. One approach is building your own open-source stack of GIS software using the Postgresql database with the POSTGIS extension, the GIS platform Quantum GIS, the map server Geoserver and the viewer GeoExplorer.
The other approach leverages the Google Maps API via JavaScript programming and may touch upon jQuery, server-side scripting with Python, and Ajax along the way.
This is a conference-related event that HIGICC is helping to publicize. The event is free, but separate registration is required.
Click here for more information
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