Next Article in Journal
Closing the Skill Gap of Cloud CRM Application Services in Cloud Computing for Evaluating Big Data Solutions
Previous Article in Journal
A Biophysical Image Compositing Technique for the Global-Scale Extraction and Mapping of Barren Lands
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Correction

Correction: Yin, J., et al. Exploring Multi-Scale Spatiotemporal Twitter User Mobility Patterns with a Visual-Analytics Approach. ISPRS International Journal of Geo-Information 2016, 5, 187

1
Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
2
CyberGIS Center for Advanced Digital and Spatial Studies, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
3
Institute of Geographic Information Science, School of Earth Sciences, Zhejiang University, Hangzhou 310028, China
4
National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2016, 5(12), 226; https://doi.org/10.3390/ijgi5120226
Submission received: 20 November 2016 / Accepted: 24 November 2016 / Published: 1 December 2016
The authors wish to make the following corrections to their paper [1]:
(1)
In the original version of our article [1], insufficient acknowledgement was given for the design of the system architecture and the implementation of the interactive 3D virtual globe web-mapping interface. We regret this error. To correct this oversight, Yizhao Gao and Shaowen Wang have been added as co-authors, the acknowledgements have been altered to more appropriately recognize support and funding, and the author contributions have been adjusted accordingly.
The corrected author list, acknowledgements, and author contributions are provided below:
The author list is: Junjun Yin, Yizhao Gao, Zhenhong Du and Shaowen Wang.
The funding numbers in the Acknowledgements needed to be corrected from the original article version [1], and the authors wish to include acknowledgements to the research team, as follows:
“… and are grateful for insightful input in the early stage of this research received from Yan Liu and Kiumars Soltani from the CyberInfrastructure and Geospatial Information Laboratory at the University of Illinois at Urbana-Champaign. This paper is based in part upon work supported by the U.S. National Science Foundation (NSF) under grant numbers: 1354329 and 1443080. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF.”
The author contributions are revised accordingly, as follows:
Shaowen Wang conceived the ideas; Junjun Yin and Yizhao Gao conducted the experiments; Junjun Yin and Zhenhong Du analyzed the results; Junjun Yin, Yizhao Gao, Zhenhong Du and Shaowen Wang wrote the paper.
(2)
The authors also found two inadvertent errors and several editorial omissions in the original article, noted as follows:
The first error is the term “continuous United States”, which is corrected as “conterminous United States”. The second error is a misplaced equation on page 10, Section 3, the original text “ P ( r g )   ~   λ 2 e λ 2 ( r g r g m i n ) from [50 m, 30 km]” is replaced with “ P ( r g )   ~   β λ 2 r g β 1 e λ 2 ( r g β r g m i n β ) from [50 m, 30 km]”.
The editorial omissions include the following corrections: the word “inherited” is changed to “inherent”; the term “file size” is changed to “data size”; on page 2, line 21, the term “For instances” is changed to “For instance”; on page 2, line 30, the text “data is extracted” is changed to “data are extracted”; on page 4, line 9, the word “gratuity” is corrected as “granularity”; on page 5, line 23, the text “technical details is” is changed to “technical details are”; on page 7, line 1, the word “visitation” is changed to “Visitation”; on page 7, line 8, the text “a trip took” is changed to “a trip taken”; on page 7, line 28, the term “map generation” is corrected as “map generalization”; on page 7, line 38, the term “landscan” is changed to “LandScan”; on page 7, the text “an hierarchical fishnet” is changed to “a hierarchical fishnet”; on page 8, line 1, the term “map stage” is changed to “Map stage”; on page 8, line 11, the text “as fellows” is changed to “as follows”; on page 9, line 5, the text “the frequency Twitter users” is changed to “the frequency of Twitter users”.
These changes have no material impact on the conclusions of our paper. We would like to apologize for any inconvenience caused to the readers by these changes. The manuscript will be updated and the original will remain online on the article webpage.

Reference

  1. Yin, J.; Du, Z. Exploring Multi-scale spatiotemporal twitter user mobility patterns with a visual-analytics approach. ISPRS Int. J. Geo-Inf. 2016, 5, 187. [Google Scholar] [CrossRef]

Share and Cite

MDPI and ACS Style

Yin, J.; Gao, Y.; Du, Z.; Wang, S. Correction: Yin, J., et al. Exploring Multi-Scale Spatiotemporal Twitter User Mobility Patterns with a Visual-Analytics Approach. ISPRS International Journal of Geo-Information 2016, 5, 187. ISPRS Int. J. Geo-Inf. 2016, 5, 226. https://doi.org/10.3390/ijgi5120226

AMA Style

Yin J, Gao Y, Du Z, Wang S. Correction: Yin, J., et al. Exploring Multi-Scale Spatiotemporal Twitter User Mobility Patterns with a Visual-Analytics Approach. ISPRS International Journal of Geo-Information 2016, 5, 187. ISPRS International Journal of Geo-Information. 2016; 5(12):226. https://doi.org/10.3390/ijgi5120226

Chicago/Turabian Style

Yin, Junjun, Yizhao Gao, Zhenhong Du, and Shaowen Wang. 2016. "Correction: Yin, J., et al. Exploring Multi-Scale Spatiotemporal Twitter User Mobility Patterns with a Visual-Analytics Approach. ISPRS International Journal of Geo-Information 2016, 5, 187" ISPRS International Journal of Geo-Information 5, no. 12: 226. https://doi.org/10.3390/ijgi5120226

APA Style

Yin, J., Gao, Y., Du, Z., & Wang, S. (2016). Correction: Yin, J., et al. Exploring Multi-Scale Spatiotemporal Twitter User Mobility Patterns with a Visual-Analytics Approach. ISPRS International Journal of Geo-Information 2016, 5, 187. ISPRS International Journal of Geo-Information, 5(12), 226. https://doi.org/10.3390/ijgi5120226

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop