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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...
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Remote Sensing Analysis on HUBzero
16 Sep 2015 | Downloads | 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...
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The GABBs Report - Building Geospatial Capability in HUBzero
15 Sep 2015 | Downloads | 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,...
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GeoBuilder for Exploring Geospatial Data
13 Nov 2014 | Tools | Contributor(s): Hou-Jen Ko
Build interactive maps with layers of private or shared data.
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Broadening Access to Geospatial Capabilities
07 Nov 2014 | Downloads | Contributor(s): Carol Song
This is a presentation at Purdue GIS Day on November 7, 2014.
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Broadening Access to Geospatial Capabilities
06 Nov 2014 | Downloads | Contributor(s): Carol Song, Larry Biehl, Venkatesh Merwade, Nelson Benjamin Villoria
This is a presentation at HUBbub 2014
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GABBS Project Overview
06 Nov 2014 | Downloads | Contributor(s): Carol Song
This is a presentation at DIBBS PI meeting on August 11, 2014.
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Proposed Institutional Design for GEOSHARE
03 Oct 2014 | Online Presentations | Contributor(s): Tom Hertel
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IFPRI's Spatial Production Allocation Model (SPAM)
03 Oct 2014 | Online Presentations | Contributor(s): Ulrike Wood-Sichra, Liangzhi You
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Mapping multiple cropping and irrigation in India
03 Oct 2014 | Online Presentations | Contributor(s): Gang Zhao, Stefan Siebert
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International trade buffers the impact of future irrigation shortfalls
03 Oct 2014 | Online Presentations | Contributor(s): Jing Liu, Tom Hertel, Farzad Taheripour, Tingju Zhu, Claudia Ringler
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Predicting the Spatial Patterns of Land Conversion
03 Oct 2014 | Online Presentations | Contributor(s): Nelson Benjamin Villoria, Jing Liu
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Enabling Scientific Collaboration Using HUBzero Platform
03 Oct 2014 | Online Presentations | Contributor(s): Lan Zhao
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Connecting Communities Through HUBzero
03 Oct 2014 | Online Presentations | Contributor(s): Nelson Benjamin Villoria, Joshua Elliott, Hongjun Choi, Lan Zhao
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Global Croplands: A new dataset for year 2005
03 Oct 2014 | Online Presentations | Contributor(s): Dany Plouffe, Navin Ramankutty, Lisa Ribaudo, Mark Friedl, Damien Sulla-Menashe
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SPAM in the Clouds
03 Oct 2014 | Online Presentations | Contributor(s): Jingyu Song, Nelson Benjamin Villoria, Paul Preckel
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SPAM in the Clouds
25 Jul 2014 | Tools | Contributor(s): Liangzhi You, Ulrike Wood-Sichra, Jingyu Song, Nelson Benjamin Villoria, Paul Preckel, Jaewoo Shin, Lan Zhao
Spatial Production Allocation Model (SPAM) 2005 Beta Version
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U2U Poster - Oct 2012
27 Nov 2012 | Online Presentations | Contributor(s): Melissa Widhalm
This poster provides a general overview of the Useful to Usable (U2U) project. Anyone on the U2U team is welcome to present this poster at conferences or other venues. This hi-resolution pdf is ready for priting a 3 ft. (H) by 4 ft. (W) poster.
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U2U Poster - May 2012
18 May 2012 | Online Presentations | Contributor(s): Melissa Widhalm
This poster provides a general overview of the Useful to Usable (U2U) project. Anyone on the U2U team is welcome to present this poster at conferences or other venues. This hi-resolution pdf is ready for priting a 3 ft. (H) by 4 ft. (W) poster.
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Metadata for Climate Research Unit Time Series (CRU TS) 2.1
16 May 2012 | Downloads | Contributor(s): Lan Zhao
The CRU TS 2.1 data-set comprises 1224 monthly grids of observed climate, for the period 1901-2002, and covering the global land surface at 0.5 degree resolution. There are nine climate variables available: daily mean, minimum and maximum temperature, diurnal temperature range, precipitation, wet...