I am struggling with my research paper which I need to publish
However, I have got comments from reviewers should i work on
in fact, the notes were focusing on statistical issues related to research method and data analysis which i have lack on and need a help in this regard
almost 25 with references pages
the academic field is urban planning
i utilised GIS and regression analysis
I need you to have mathematical and statistical services by which the research method and data analysis sections can be improved
the subject is titled by ” built environment and crimes in residential areas
By the way, the paper is extracted from my Ph.D thesis as you know the publishing is a requirement for getting the Degree
the comments on the paper are summarised as follows:
a. Novelty of the content: Partially met
b. Potential impact of the manuscript in the relevant field of research:
c. Standard of English (expression, grammar and spelling): Poor, which made
it difficult to assess.
d. Suitability for ISPRS International Journal of Geo-Information: Suitable
e. Study design and methodology: Partially met.
f. Ethical issues: Met.
This study is mainly of interest as it presents findings about the
relationship between built environment features and crime in a part of the
world that is under-represented in the literature. The methods are not novel.
It might be better suited to a general issue. A concern is that the research
questions are explicitly framed as causal but the regression method used
cannot answer causal, only association, questions. Thus either the research
questions or the method are inappropriate and would need to be revised. The
accuracy and precision of the crime locations and their geocoding process is
not described. A large spatial scale is used but potential issues with larger
scale (MAUP) are not explicitly addressed, nor does it appear that spatial
autocorrelation was managed in the regression model (e.g. through a spatial
lag term). It is not clear how the Getis-Ord hotspot analysis that identifies
concentrations of crime relates to the regression analysis where the outcome
variable is a different measure of crime density (n crimes / neighbourhood
area). The results described in the text are not consistent with the tables
(e.g. claiming there are relationships when the p-values are not under 0.05
in the full model). The paper would benefit from the use of an English
language editing service.
I have the following additional minor concerns:
– the abstract exceeds the stated maximum for the journal.
– the citations are not in a proper format and contain errors e.g.
Brantingham 1981 instead of Brantingham & Brantingham 1981.
– many statements about the findings of prior studies are not followed with
– contradictions e.g. p3 line 85 “Newman has excluded micro scales” vs p12
line 291 “Newman was focusing on micro scales” and other references to Newman.
– the maps appear to have been stretched, violating basic cartographic
– either figure 1 or table 1 is redundant.
– the authors have not specified in the cover letter which of the special
issue topics the paper relates to, although the keywords do include the
special issue topic ‘hot spot analysis’ and similar topics (‘built
Initial review 2:
Statistical analysis is very weak, authors does not present enough
statistical proofs to support the use of the variables that they employed on
their analysis. Particularly, Linear Regression are not the most useful
statistical tool for this kind of analysis.
Spatial analysis is not concluding, I mean, authors presented concentration
conclusions with a huge bandwidth, obviously, crimes will be “concentrated”
when the bandwidth is 4 to 6 kms.
Theoretically, there are a lot of opportunities to improve the analysis. I
mean, authors mix crime science theories with urbanism and it is not very
The main idea behind this paper is very interesting but the authors need to
improve their statistical and spatial analysis to support the theoretical
ideas that they are exposing.
Personally, I do not find this paper good enough to be published on this
Journal (or any other)For more information on Built Environment and Crimes in Residential Areas read :https://en.wikipedia.org/wiki/Crime_prevention_through_environmental_design
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