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Article
Peer-Review Record

The Transmission Effect and Influencing Factors of Land Pressure in the Yangtze River Delta Region from 1995–2020

Remote Sens. 2023, 15(1), 250; https://doi.org/10.3390/rs15010250
by Ziqi Yu 1, Longqian Chen 1,2,*, Ting Zhang 1,2, Long Li 1,2,3, Lina Yuan 4, Sai Hu 5,6, Liang Cheng 7, Shuai Shi 8 and Jianying Xiao 1,2
Reviewer 1: Anonymous
Reviewer 3:
Remote Sens. 2023, 15(1), 250; https://doi.org/10.3390/rs15010250
Submission received: 22 November 2022 / Revised: 27 December 2022 / Accepted: 28 December 2022 / Published: 1 January 2023

Round 1

Reviewer 1 Report

Authors provided a modified gravity model to construct a spatial correlation network of land pressure, and revealed the transmission effects of land pressure in the YRDR. The topic of the research is relevant to using Remote Sensing Methods to Address Current Urbanization Issues.However, to help improve the quality of this manuscript and make it outstanding among the published works, I have provided the following minor comments.

 

1. Lines 340-343: Please add reference about VIF.

2. why did the authors choose ten prediction factors (Table 4) in the GTWR model?

3. Whether the authors have gradually added predictive factors to the GTWR model to avoid over fitting caused by too many independent variables.

4. Model validation is very important for evaluating model performance. I suggest the authors use cross validation or other methods to validate the GTWR model. This would make it a more comprehensively research.

Comments for author File: Comments.pdf

Author Response

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Author Response File: Author Response.docx

Reviewer 2 Report

Please see the attached report

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 3 Report

The paper used gravity model to construct a spatial correlation network of land pressure in the Yangtze River Delta region (YRDR) for the years 1995-2020 and how land pressure is transmitted throughout the cities.

The paper is well written, and methods and results are clearly presented. The paper is more related to GIS than remote sensing, although the topic fits in the area of urbanization issues.

The impact of the results may be further discussed in the Discussion section from the perspective of sustainable development and relieving land pressure in the urbanization process.

Abbreviations of the cities NJ, SH, SU, HZ, CA… should be defined the first time they are mentioned in the abstract and the paper.

Appendix should be placed after the whole paper including references.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Round 2

Reviewer 2 Report

The authors addressed all of my comments. 

 

Author Response

Thank you very much for your review and for giving constructive comments on our manuscript.

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