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CyberGIS for Geospatial Discovery and Innovation

Part of the GeoJournal Library Book Series (volume 118)

Editors: Wang, Shaowen; Goodchild, Michael F.

DOI: 10.1007/978-94-024-1531-5

ISBN: 978-94-024-1529-2

Publisher: Springer Netherlands - Springer Journals

Jun 27, 2018

1 - 10 of 15 Chapters

LitStream

CyberGIS for Transforming Geospatial Discovery and Innovation

Wang, Shaowen; Goodchild, Michael F.

Pages: 3 –10

[Geographic information science and systems (GIS) have undergone rapid growth during the past several decades. This growing trend seems likely to persist into the foreseeable future driven by numerous diverse applications and enabled by steady progress of related technologies. As a geospatial...
LitStream

Coupling Traffic and Gas Dispersion Simulation for Atmospheric Pollution Estimation

Cervone, Guido; Dallmeyer, Jörg; Lattner, Andreas D.; Franzese, Pasquale; Waters, Nigel

Pages: 13 –31

[A CyberGIS approach is presented in this chapter where microscopic traffic simulation and gas dispersion simulation systems are combined in order to estimate atmospheric pollution for different scenarios. The combination of these two simulation models allows for detailed investigations of...
LitStream

CyberGIS for Analyzing Urban Data

Cheshire, James; Batty, Michael; Reades, Jonathan; Longley, Paul; Manley, Ed; Milton, Richard

Pages: 33 –52

[This chapter describes some of the rapid developments in data collection and analysis through the processing of data collected and archived in real time that are capable of generating new insights into urban processes that in time, might lead to new theories of how cities function. It will focus...
LitStream

Designing Adaptable Spatial Cyberinfrastructure for Urban eResearch

Tomko, Martin; Galang, Gerson; Bayliss, Chris; Koetsier, Jos; Greenwood, Phil; Voorsluys, William; Mannix, Damien; Sarwar, Sulman; Widjaja, Ivo; Pettit, Chris; Sinnott, Richard

Pages: 53 –69

[In this chapter, we present and discuss an adaptable cyberinfrastructure (e-Infrastructure) for urban research. We illustrate the benefits of a loosely coupled service-oriented architecture-based design pattern for the internal architecture of this e-Infrastructure. This is presented in the...
LitStream

Mapping Spatial Information Landscape in Cyberspace with Social Media

Yang, Jiue-An; Tsou, Ming-Hsiang; Spitzberg, Brian; An, Li; Gawron, Jean Mark; Gupta, Dipak

Pages: 71 –86

[This chapter describesa Spatial Web Automatic Reasoning and Mapping System (SWARMS) for visualizing and analyzing space-time dimensions of information landscape represented by a social media channel—Twitter. SWARMS utilizes computer programming and Twitter Search APIs to retrieve tweets by...
LitStream

Integrating GIScience Application Through Mashup

Yang, Chaowei; Fu, Pinde; Goodchild, Michael F.; Xu, Chen

Pages: 87 –112

[An increasingly rich array of geographic information, such as real-time sensor data, public web pages, social media data, and dynamic maps, are available over the Internet tobe integrated by multiple geographic information science (GIScience) applications that were not possible in the past. The...
LitStream

Crayons: Empowering CyberGIS by Employing Cloud Infrastructure

Agarwal, Dinesh; Puri, Satish; Prasad, Sushil K.

Pages: 115 –141

[Efficient end-to-end parallel/distributed processing of vector-based spatial data has been a long-standing research question in GIS community. The irregular and data intensive nature of the underlying computation has impeded the research in this space. We have created an open-architecture-based...
LitStream

Enabling Spatial Big Data via CyberGIS: Challenges and Opportunities

Evans, Michael R.; Oliver, Dev; Yang, KwangSoo; Zhou, Xun; Ali, Reem Y.; Shekhar, Shashi

Pages: 143 –170

[Recent years have seen the emergence of many new and valuable spatial datasets such as trajectories of cell-phones and Global Positioning System (GPS) devices, vehicle engine measurements, global climate models simulation data, volunteered geographic information (VGI), geo-social media, and...
LitStream

High-Performance Small-Scale Raster Map Projection Empowered by Cyberinfrastructure

Finn, Michael P.; Liu, Yan; Mattli, David M.; Behzad, Babak; Yamamoto, Kristina H.; (Gene) Guan, Qingfeng; Shook, Eric; Padmanabhan, Anand; Stramel, Michael; Wang, Shaowen

Pages: 171 –188

[This chapter reports on the merging of geospatial data transformation, high-performance computing (HPC), and cyberinfrastructure (CI) domains for map projection transformation through performance profiling and tuning of pRasterBlaster, a parallel map projection transformation program....
LitStream

A Smart Service-Oriented CyberGIS Framework for Solving Data-Intensive Geospatial Problems

Li, Wenwen; Goodchild, Michael F.; Anselin, Luc; Weber, Keith T.

Pages: 189 –211

[This chapter introduces a CyberGIS solution that aims at resolving the big data challenges in the discovery, search, visualization and interoperability of geospatial data. We describe a service-oriented architecture to make heterogeneous geospatial resources easily sharable and interoperable....

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