scispace - formally typeset
P

Peter A. Rogerson

Researcher at University at Buffalo

Publications -  144
Citations -  6561

Peter A. Rogerson is an academic researcher from University at Buffalo. The author has contributed to research in topics: Population & Spatial analysis. The author has an hindex of 39, co-authored 141 publications receiving 6127 citations. Previous affiliations of Peter A. Rogerson include Florida State University College of Arts and Sciences & Northwestern University.

Papers
More filters
Book

Statistical methods for geography

TL;DR: In this paper, the authors introduce statistical analysis in Geography Probability and Probability Models Hypothesis Testing and Sampling Analysis of Variance Correlation Introduction to Regression Analysis More on Regression Spatial Patterns Some Spatial Aspects of Regression analysis Data Reduction Factor Analysis and Cluster Analysis
Reference BookDOI

Spatial Analysis and GIS

TL;DR: The integration of GIS Reference Record with Geographic Information System (GIS) Reference Record is described in detail in the second part of this presentation.
BookDOI

The Sage handbook of spatial analysis

TL;DR: Fotheringham and Rogerson as mentioned in this paper proposed case-control clustering for mobile populations using neural networks for spatial data analysis, which is based on a Bayesian Spatial Analysis (BSA) model.
Journal ArticleDOI

A logistics model for emergency supply of critical items in the aftermath of a disaster

TL;DR: The results show that the proposed model outperforms theirs in terms of delivering prioritized items over several time periods and is compared with that proposed in a recent paper by Balcik et al.
Journal ArticleDOI

Positional accuracy of geocoded addresses in epidemiologic research.

TL;DR: The suitability of geocoding for epidemiologic research depends on the level of spatial resolution required to assess exposure, and although sources of error in positional accuracy for geocoded addresses exist, geocode of addresses is, for the most part, very accurate.