2010
DOI: 10.1559/152304010790588043
|View full text |Cite
|
Sign up to set email alerts
|

Identifying Spatial Patterns of Recovery and Abandonment in the Post-Katrina Holy Cross Neighborhood of New Orleans

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
36
0

Year Published

2010
2010
2021
2021

Publication Types

Select...
6
3

Relationship

2
7

Authors

Journals

citations
Cited by 55 publications
(36 citation statements)
references
References 23 publications
0
36
0
Order By: Relevance
“…(3) Finally, KDE and a spatial filter were applied to search for clusters in the point data. Although kernel density may be a more popular approach for identifying clusters in point data, it lacks statistical rigor, which a spatial filter technique provides (Curtis et al, 2010).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…(3) Finally, KDE and a spatial filter were applied to search for clusters in the point data. Although kernel density may be a more popular approach for identifying clusters in point data, it lacks statistical rigor, which a spatial filter technique provides (Curtis et al, 2010).…”
Section: Discussionmentioning
confidence: 99%
“…abrupt aggregations. Any of the grid points can be queried for specific rates at different filter sizes; therefore, the perception rate for a particular location (eg, building, street corner, or location of homicide) could be extracted (Curtis et al, 2010).…”
Section: Discussionmentioning
confidence: 99%
“…One of the few published examples of its use as a research tool has been to monitor differences in rates of recovery and continued abandonment between New Orleans neighborhoods post Hurricane Katrina. 15 To our knowledge, however, Google Street View has not been used to undertake streetscape audits for research purposes. Thus, the potential use of Google Street View to audit these settings has important methodological implications for the built environment research field in terms of possibly increasing the efficiency of environmental measurement.…”
Section: Introductionmentioning
confidence: 99%
“…Badland et al (2010) find GSV audits to be faster and less expensive than physical site visits and that efficiency improves rapidly with user experience. Curtis, Duval-Diop and Novak (2010) use GSV to audit New Orleans to identify neighborhood patterns of return and rebuilding after Hurricane Katrina. Although video was available from local community groups, the authors find that GSV is just as effective and chose to rely on GSV as their data source so that their methods could easily be replicated.…”
Section: The Billboard Map Website: Descriptionmentioning
confidence: 99%