Spatial statistics for urban analysis: A review of techniques with examples
By Antonio Páez, Darren M. Scott. 2004
380 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Transportation
View Paper: https://www.semanticscholar.org/paper/2800cd9e30145d865f042d4378e7642b9f5d52db
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Chandra R. Bhat
- R. Pendyala
- Ipek N. Sener
- Dominik Wiedenhofer
- Tim Schwanen
- R. H. M. Pereira
- J. Steinberger
- Nate Wessel
In Transportation
- Chandra R. Bhat
- R. Pendyala
- Ipek N. Sener
- R. H. M. Pereira
- David Banister
- Nate Wessel
- Tim Schwanen
- Dominik Wiedenhofer
Citations in the corpus
- The influence of the impedance function on gravity-based pedestrian accessibility measures: A comparative analysis (2017, methodology): “We mapped all 20 accessibility measures and calculated the Moran’s I value for each map (Páez and Scott, 2004), as well as LISA maps (Anselin, 1995), to identify which locations Table 6.”
- Energy requirements of consumption: Urban form, climatic and socio-economic factors, rebounds and their policy implications (2013, background): “Secondly, geo-referenced variables often exhibit spatial autocorrelation, which means that not all observations in a spatial dataset can be assumed to be independent, violating the basic assumptions of any statistical analysis (Cliff and Ord, 1970; Páez and Scott, 2005; Getis, 2007).”
- Distributional effects of transport policies on inequalities in access to opportunities in Rio de Janeiro (2019, methodology): “…violates basic assumptions of conventional statistical analysis, such as t-tests or Pearson correlation and OLS regressions, and leads to “information loss, biased and/or inefficient parameters and the possibility of seriously flawed conclusions and policy prescriptions” (Páez & Scott, 2005, p.55).”
- Accommodating Spatial Correlation Across Choice Alternatives in Discrete Choice Models: Application to Modeling Residential Location Choice Behavior (2011, background): “The reader will note that spatial correlation may also exist across decision-makers (see Fleming, 2004, Paez and Scott, 2004, Bhat and Sener, 2009), but this is not the focus of study in the current paper.”