Identifying Local Hidden Data Sets: The First Step to Begin a Geospatial Data Collection

2015 ◽  
Vol 11 (1) ◽  
pp. 5-17 ◽  
Author(s):  
Jessica Clemons
Author(s):  
Breawna Davis ◽  
Alexandria Sutherland ◽  
Megan Wilton ◽  
Michael J. Kwinn

2017 ◽  
Author(s):  
Prof. Rajagopalan S ◽  
Yogalakshmi Jayabal

A vast amount of data is generated and collected every moment and often, data has a spatial and/or temporal aspect. This increasing data generation and collection is resulting in increasing volume and varying formats of data being collected and the geospatial data collection is no exception. This posses challenges in storing, processing, analyzing and visualizing the geospatial data. This paper discusses the big data paradigm of the geospatial data and presents a taxonomy for analysis of the geospatial data. The existing literature is studied and discussed based on the proposed taxonomy for analysis of geospatial data.


2015 ◽  
Vol 4 (4) ◽  
pp. 2401-2427 ◽  
Author(s):  
Massimiliano Pittore ◽  
Marc Wieland ◽  
Mustafa Errize ◽  
Cagatay Kariptas ◽  
Ismet Güngör

2015 ◽  
Vol 93 (1) ◽  
pp. 36-52 ◽  
Author(s):  
Laura Schuch ◽  
Jacqueline W. Curtis ◽  
Andrew Curtis ◽  
Courtney Hudson ◽  
Heather Wuensch ◽  
...  

2014 ◽  
Vol 06 (02) ◽  
pp. 99-108 ◽  
Author(s):  
Koko Lwin ◽  
Misao Hashimoto ◽  
Yuji Murayama

2017 ◽  
Vol 17 (3-4) ◽  
pp. 183-200
Author(s):  
Andrew Battista ◽  
Karen Majewicz ◽  
Stephen Balogh ◽  
Darren Hardy

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