Patrick E Osborne
Biographic Data
| ID | 5582283 |
|---|---|
| NAME | Patrick E Osborne |
| GIVEN NAMES | Patrick E |
| FAMILY NAME | Osborne |
| SIGNATURE | OSBORNE P E |
| AFFILIATIONS | University of Southampton |
| ORCID | 0000-0001-8919-5710 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 10 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 1 |
Tracking a city’s center of gravity over 500 years of growth from a time series of georectified historical maps
It is surprising difficult to define where a city center lies, yet its location has a profound effect on a city’s structure and function. We examine whether city center typicality points can be consistently located on historical maps such that their centroid identifies a meaningful central location over a 500-year period in Southampton, UK. We compare movements of this city center centroid against changes in the geographical center of the city as…
Combining GPS & survey data improves understanding of visitor behaviour
Collinearity
Collinearity refers to the non independence of predictor variables, usually in a regression‐type analysis. It is a common feature of any descriptive ecological data set and can be a problem for parameter estimation because it inflates the variance of regression parameters and hence potentially leads to the wrong identification of relevant predictors in a statistical model. Collinearity is a severe problem when a model is trained on data from one …
Combining GPS & survey data improves understanding of visitor behaviour
Tracking a city’s center of gravity over 500 years of growth from a time series of georectified historical maps
It is surprising difficult to define where a city center lies, yet its location has a profound effect on a city’s structure and function. We examine whether city center typicality points can be consistently located on historical maps such that their centroid identifies a meaningful central location over a 500-year period in Southampton, UK. We compare movements of this city center centroid against changes in the geographical center of the city as…
Collinearity
Collinearity refers to the non independence of predictor variables, usually in a regression‐type analysis. It is a common feature of any descriptive ecological data set and can be a problem for parameter estimation because it inflates the variance of regression parameters and hence potentially leads to the wrong identification of relevant predictors in a statistical model. Collinearity is a severe problem when a model is trained on data from one …
Combining GPS & survey data improves understanding of visitor behaviour
Tracking a city’s center of gravity over 500 years of growth from a time series of georectified historical maps
It is surprising difficult to define where a city center lies, yet its location has a profound effect on a city’s structure and function. We examine whether city center typicality points can be consistently located on historical maps such that their centroid identifies a meaningful central location over a 500-year period in Southampton, UK. We compare movements of this city center centroid against changes in the geographical center of the city as…
Mathematics (3 works) · Computer Science (2 works) · Geography (2 works) · Statistics (2 works) · Advertising (1 work) · Archaeology (1 work) · Attraction (1 work) · Bivariate analysis (1 work) · Boundary (topology (1 work) · Business (1 work)