Tags: GABBs

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  1. An open source geospatial cyberinfrastructure for interdisciplinary collaboration and broader engagement

    26 Oct 2017 | | Contributor(s):: Carol Song

    Solving complex global problems demands that researchers from different disciplines work together, and their analytical tools, models and datasets interoperate. This is especially true in the context of sustainability. For instance, multiple goals of the United Nations Sustainable Development...

  2. GABBs Installation from Open-source Packages

    26 Jul 2017 | | Contributor(s):: Rajesh Kalyanam

    This document contains instructions for installing the various GABBs components either onto a existing hub or in your own infrastructure from scratch. 

  3. GABBs AWS CloudFormation Template

    04 Jul 2017 | | Contributor(s):: Rajesh Kalyanam

    This CloudFormation template can be used to setup a complete GABBs-enabled HUBzero hub installation on Amazon Web Services' Cloud Computing platform.By using this template JSON file in conjunction with the AWS' CloudFormation web interface, a user can be up and running with a working...

  4. 2016 GABBs Project Highlights

    26 Feb 2017 | | Contributor(s):: Carol Song

    This is a document that highlights the new development  and engagement activities of the GABBs project in 2016. This DIBBs implementation project develops geospatial data analysis building blocks in the HUBzero Scientific Collaboration Platform to enable researchers and educators to create...

  5. Integrating OPeNDAP With HUBzero

    29 Jul 2016 | | Contributor(s):: Arjun Bagla

    The OPeNDAP data access protocol supports subsetting and aggregation of several geospatial data formats.Integration with HUBzero tools that support the OPeNDAP protocol enables them to only request file metadata and specific subsets of the file as required rather than store the entire file...

  6. Integrating HUBzero and iRODS: Geospatial Data Management for Collaborative Scientific Research (iRODS User Group Meeting, 2016)

    09 Jun 2016 | | Contributor(s):: Rajesh Kalyanam, Rob Campbell, Sam Wilson, Pascal Meunier, Lan Zhao, Betsy A Hillery, Carol Song

    Geospatial data is now increasingly used with tools in diverse fields such as agronomy, hydrology and sociology to gain a better understanding of scientific data. Funded by the NSF DIBBS program, the GABBS project seeks to create reusable building blocks aiding researchers in adding geospatial...

  7. GABBs Python Maps Library: PyMapLib

    09 Oct 2015 | | Contributor(s):: Wei Wan, Lan Zhao, Jaewoo Shin, Carol Song

    As a part of the NSF funded Geospatial Data Analysis Building Blocks (GABBs) project, PyMapLib is designed as a generic framework for geospatial data visualization to support scientific computation and data tools. Based on a diverse set of use cases, the primary goal of PyMapLib is to lower the...

  8. Remote Sensing Analysis on HUBzero

    16 Sep 2015 | | Contributor(s):: Larry Biehl

    MultiSpec is a remote sensing analysis tool being developed on MyGeoHub.org as part of the Geospatial Analysis Building Blocks (GABBs) NSF-funded and the IndianaView/AmericaView USGS-funded projects. The tool has been adapted from the desktop Macintosh and Windows versions...

  9. The GABBs Report - Building Geospatial Capability in HUBzero

    15 Sep 2015 | | Contributor(s):: Carol Song

    Geospatial data are present everywhere today with the proliferation of location-aware computing devices. This is especially true in the scientific community where large amounts of data are driving research and education activities in many domains. Collaboration over geospatial data, for example,...

  10. Broadening Access to Geospatial Capabilities

    07 Nov 2014 | | Contributor(s):: Carol Song

    This is a presentation at Purdue GIS Day on November 7, 2014.

  11. Broadening Access to Geospatial Capabilities

    06 Nov 2014 | | Contributor(s):: Carol Song, Larry Biehl, Venkatesh Merwade, Nelson Benjamin Villoria

    This is a presentation at HUBbub 2014

  12. GABBS Project Overview

    06 Nov 2014 | | Contributor(s):: Carol Song

    This is a presentation at DIBBS PI meeting on August 11, 2014.