Alan M. Delmerico
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Alan M. Delmerico has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Hossein Mousazadeh
Department of Ophthalmology, Flaum Eye Institute, University of Rochester Medical Center, Rochester, NY, USA; Department of Environmental Medicine and Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA
1 shared publication - Michael Patrick Geiss
Department of Public Administration, Maxwell School of Citizenship & Public Affairs, Syracuse University, Syracuse, NY, USA; Department of Ophthalmology & Visual Sciences, SUNY Upstate Medical University, Syracuse, NY, USA
1 shared publication - Neil Dogra
University of Rochester School of Medicine and Dentistry, Rochester, NY
1 shared publication - Rajeev S. Ramchandran
Department of Ophthalmology, Flaum Eye Institute, University of Rochester Medical Center, Rochester, USA
1 shared publication - Rebecca Zheng Li
Department of Ophthalmology, Flaum Eye Institute, University of Rochester Medical Center, Rochester, NY, USA
1 shared publication - Talia C. Gearinger
Department of Ophthalmology, Flaum Eye Institute, University of Rochester Medical Center, Rochester, NY, USA
1 shared publication
Latest Publications
- 19 August 2009
- Published by Wiley in WIREs Computational Statistics
- Vol. 1 (2) , 167-186
Geographic information systems
This article presents an overview of the development, capabilities, and utilization of geographic information systems (GISs). There are nearly an unlimited number of applications that are relevant to GIS because virtually all human interactions, natural and man‐made features, resources, and populations have a geographic component. Everything happens somewhere and the location often has a role that affects what occurs. This role is often called spatial dependence or spatial autocorrelation, which exists when a phenomenon is not randomly geographically distributed. GIS has a number of key capabilities that are required to conduct a spatial analysis to assess this spatial dependence. This article presents these capabilities (e.g., georeferencing, adjacency/distance measures, and overlays) and provides a case study to illustrate how GIS can be used for both research and planning. Although GIS has developed into a relatively mature application for basic functions, development is required to more seamlessly integrate spatial statistics and models. Copyright © 2009 John Wiley & Sons, Inc.This article is categorized under: Software for Computational Statistics > Software/Statistical Software
- 19 August 2009
- Published by Wiley in WIREs Computational Statistics
- Vol. 1 (2) , 167-186
Geographic information systems
This article presents an overview of the development, capabilities, and utilization of geographic information systems (GISs). There are nearly an unlimited number of applications that are relevant to GIS because virtually all human interactions, natural and man‐made features, resources, and populations have a geographic component. Everything happens somewhere and the location often has a role that affects what occurs. This role is often called spatial dependence or spatial autocorrelation, which exists when a phenomenon is not randomly geographically distributed. GIS has a number of key capabilities that are required to conduct a spatial analysis to assess this spatial dependence. This article presents these capabilities (e.g., georeferencing, adjacency/distance measures, and overlays) and provides a case study to illustrate how GIS can be used for both research and planning. Although GIS has developed into a relatively mature application for basic functions, development is required to more seamlessly integrate spatial statistics and models. Copyright © 2009 John Wiley & Sons, Inc.This article is categorized under: Software for Computational Statistics > Software/Statistical Software